Книга - Urban and suburban transport intelligent management. Textbook

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Urban and suburban transport intelligent management. Textbook
Pavel Minakov

Vadim Shmal

Roman Efimov


Vadim Shmal Ph. D. Associate ProfessorRUSSIAN UNIVERSITY OF TRANSPORT (MIIT)Efimov Roman Ph. D. Associate ProfessorRUSSIAN UNIVERSITY OF TRANSPORT (MIIT)Pavel Minakov Ph. D. Associate ProfessorRUSSIAN UNIVERSITY OF TRANSPORT (MIIT)





Urban and suburban transport intelligent management

Textbook



Vadim Shmal

Roman Efimov

Pavel Minakov



��Vadim Shmal,�2022

��Roman Efimov,�2022

��Pavel Minakov,�2022



ISBN�978-5-0059-3137-5

Created with Ridero smart publishing system




Introduction


The authors of�the textbook focused on the consideration of�existing and promising information technologies in�transport from the standpoint of�automated control of�the transportation process, focusing on the description of�the functional part of�information systems, which fully complies with the State Educational Standard and the discipline �Information technologies in�mainline transport�.

The main content of�the textbook corresponds to�the standard program for the discipline �Information technologies in�trunk transport�, taking into account new developments and the introduction of�information systems in�transport. The content of�the textbook corresponds to�the plan approved by�the methodological commission of�the specialty �Railways operation�.




1�INTERNET OF�THINGS





1.1�Internet of�Things in�modern society



Modern conditions of�the transport services market, the growth of�requirements for the quality of�their provision, the optimization of�the consistency of�technological processes to�ensure intermodal transport lead to�an increase in�the complexity of�making the most rational management decisions in�an operational environment. There is a�need for the use of�modern technical means, automation systems and digital technologies. One of�the options may be distributed intelligent network management based on the use of�cyber-physical systems.

Cyber-physical systems (CPS) are the integration of�computing with physical processes.

The main technologies for supporting cyber-physical systems include: Internet of�Things (IoT) technology, embedded systems (embedded system), Ubiquitous computing technology, special network exchange technologies.

The current trend towards the use of�digital technologies for the successful implementation of�the �digital economy�, �digital transport� and �digital railway�, as well as the transition to�the organization of�the work of�production processes of�technological enterprises to�the �Industry 4.0� mode within the framework of�the fourth industrial revolution involves the construction of�basic processes using an ecosystem that includes basic technologies:

��Internet of�Things (IoT);

��Big Data;

��Artificial Intelligence (AI);

��Robotics;

��Blockchain;

��Virtual and Augmented Reality (VR,�AR);

��Digital doubles;

��5�G;

��Additive technologies,�etc.

The Internet of�Things technology is actively developing both in�everyday life and in�the transport industry. With the help of�this technology, the amount of�operational information about the functioning of�the main processes is significantly increased, which is an incentive for the development of�data processing, transmission, storage and processing systems in�order to�develop optimal solutions.

The life cycle of�this technology includes: collecting information through the development of�sensor technologies to�obtain operational data (allows the user to�understand various parameters of�the object or process under study and evaluate their mutual influence), using scalable and secure storage based on cloud services and building optimal technology for processing and analyzing large amounts of�data using modern digital technologies.




1.1.1�Internet of�Things main characteristics


The Internet of�Things (hereinafter�� IoT) is a�technology for collecting and transmitting information about the state of�uniquely identifiable objects (things) that can interact with each other without human intervention for its subsequent automatic processing and the formation of�control actions. In�this technology, any physical object can be connected to�any other physical object. The autonomy of�the devices and their ability to�transmit data independently is important. Structurally, IoT can be represented as a�special network or a�distributed system that includes the interconnection of�physical devices, vehicles, buildings and other objects embedded in�electronics (software, sensors, actuators). IoT technology allows objects connected to�this special network to�collect and exchange data.

The fundamental characteristics of�IoT include:

��Connectedness. Any device (thing) should be able to�be connected to�the Global Information Infrastructure.

��Provision of�things with services. The Internet of�Things should be able to�provide a�thing with the provision of�services related to�it, without restrictions.

��Heterogeneity. The compatibility of�technical means in�networks must be ensured so that all IoT devices have the opportunity to�interact with other devices or service platforms through various networks.

��Dynamic changes of�attributes of�things.

By��things� in�IoT, the following objects are understood: sensors, controllers and other physical objects that were not originally intended to�be connected to�the network.

Each device in�the IoT must be uniquely identified�by:

��software and hardware provided for these devices;

��RFID tags, radio beacons, optical recognizable identifiers.

Currently, there are two main areas of�implementation: Internet of�Things (IoT) and Industrial Internet of�Things (IIoT�� Industrial Internet of�Things). Despite the similarity of�the basic concept, their functions and purpose differ.

In�general, during the operation of�the IoT, data is collected and accumulated necessary for further construction of�objective forecasts, while with the help of�the IIoT, the automation of�technological processes of�the enterprise is carried out using remote control of�the main devices, depending on the standards and current readings of�the main sensors and sensors.

The cloud platform of�the industrial Internet of�Things usually includes:

��standard sensors, sensors, actuators connected via unified connectors to�the specified platform, which allow collecting, analyzing data and transmitting it over the network;

��network infrastructure combining heterogeneous communication channels;

��connectors (software and hardware) and platform access gateways providing unified access procedures and data formats;

��information systems designed to�manage devices and communications, applications and analytics;

��applications and software that allow analytical data processing, the creation of�predictive models and intelligent device management;

��storage systems for large amounts of�data.

The main directions can be attributed to�the industrial sector of�IoT application:

��smart city;

��smart factories (smart factory, IIoT).

��smart warehouses;

��smart power grids;

��smart workplaces,�etc.

Currently, in�various Internet of�Things projects, a�connection can be built on the basis of�technologies such�as:

��information systems designed to�manage devices and communications, applications and analytics;

��applications and software that allow analytical data processing, the creation of�predictive models and intelligent device management;

��storage systems for large amounts of�data.

��Wireless connection of�various devices: Wi-Fi, Zigbee, RFID (Radio-Frequency Identification, Radio Frequency Identification), NFC (Near Field Communication, Near contactless communication), GPS (Global Positioning System), LPWAN, GSM networks, LTE or Bluetooth with low power consumption LiFi, Z-wave, LoRa,�etc.

��wire mesh, wide area connections (3G, LTE);

��wired connections.

The development of�technologies for collecting, transmitting and processing information led to�the digital and industrial revolution, which was accompanied by�an exponential increase in�the number of�devices transmitting information over the Internet. The use of�automation, robotics and the introduction of�such devices into people�s daily lives, and with the potential for each individual to�have several devices containing microchips at once and Internet connection, led to�the fact that in�2008�2009�the number of�such devices exceeded the population of�the Earth and further significant growth dynamics is observed. This fact should be considered the main prerequisite for the transition to�the Internet of�Things technology.

The main difference between the Internet of�Things as a�system from conventional communication systems is the ability to�independently perform computing operations.

According to�research, IoT technology allows you to�capture and control objects remotely through the existing network infrastructure. By�doing this, it creates opportunities for integrating the physical world into computer systems.

The main functions of�the Internet of�Things are: service, communication and informing.

IoT is based on two pillars:

��a�physical environment that includes various sensors and sensors for monitoring and data collection;

��an analytical environment that allows you to�make rational and effective management decisions based on the analysis of�the data obtained.

In�the Internet of�Things, physical and virtual �objects� have the characteristics of�identity, physical attributes and personification. The main role in�IoT is played by�devices that can collect various information and distribute it over networks to�the necessary software products, as well as transmit control actions from them to�devices. It is worth noting that in�IoT, any communication node of�the network is equal in�providing its services.

As a�data transfer format, it is convenient to�use the format of�JSON structures (Java Script Objective Notation). Its advantage lies in�the fact that there is no need to�include service information in�the transmitted data.

The construction of�IoT is associated with the formation of�large data flows, which are not always structured. There are two main types for structured data: categorical and numeric. In�the first of�them, the data is associated with a�set of�values that is fixed.

Various special protocols are allocated for the interaction of�things and users in�IoT (Figure 1.1):

��IoT devices (things) and a�user device (computer, tablet, mobile phone, etc.) establish a�Device-to-Device (D2D) communication with each other;

��the collected data is transferred to�the server infrastructure (cloud) �Device-to-Server� (D2S);

��the server infrastructure should share data, being able to�transfer it back to�devices, analysis programs or users�� �Server-to-Server�.








The following protocols of�device interaction in�IoT are distinguished (Figure 1.2):

��DDS: fast bus for integration of�intelligent devices (D2D);

��CoAP: protocol for transmitting node status information to�the server (D2S);

��MQTT: protocol for collecting device data and transmitting it to�servers (D2S);

��XMPP: protocol for connecting devices to�users, a�special case of�the D2S scheme when users connect to�servers;

��STOMP: a�protocol for exchanging messages between the device and the server, implemented in�different languages and platforms (D2S);

��AMQP: queuing system for connecting servers to�each other (S2S).








There are three main segments of�the IoT technology market in�Russia:

��mass market (B2C) or consumer segment: solutions for households and users�� pos materials, smart home, banks, etc.;

��market of�commercial companies (B2B) or industrial Internet of�Things: industry, transport and logistics, finance, agriculture, etc.;

��market of�public institutions and state-owned companies (B2G): electric power, housing and communal services, smart city, etc. There is also a�so�called cross-industrial segment covering IoT solutions in�all areas.�[40]

The customer base of�communication networks used to�be characterized by�the number of�users, but with the development and increased availability of�technologies, most users have several devices, so there is a�vector of�bias in�the evaluation of�the customer base by�the number of��things� included in�the network.

Positive aspects of�IoT technology application:

1) The devices in�the network are in�constant connection with each other, which improves the quality and efficiency of�the collected data.

2) The possibility of�centralized control of�digital information of�connected devices and high speed of�its output for rapid response is provided.

3) A�large amount of�data contributes to�improving the accuracy of�decisions made as a�result of�their processing, which makes it possible to�switch from process modeling to��digital twins� technology.

4) Increasing the speed and quality of�managerial decision-making leads to�a�significant economic effect.

The risks of�implementing IoT include:

1) Separate devices are offered on the Russian market,

rather than complex solutions, which does not allow forming a�single IoT ecosystem.

2) The complexity of�building an IoT is accompanied by�a�high risk of�system error during operation.

3) The scalability of�the network of�devices transmitting data significantly increases the risk of�personal data leakage due to�the complexity of�monitoring and protecting a�distributed network.

4) The introduction of�digital systems leads to�the automation of�technological processes, followed by�a�reduction in�employees and an increase in�social tension.

5) The lack of�unified connection standards and data transfer protocols, which does not allow combining various wireless networks of�objects into a�single network. The most common is the MQTT protocol.�[40]

The most important differences between the Internet of�Things and the existing Internet of�people�are:

��focus on things, not on the person;

��significantly more connected objects;

��significantly smaller object sizes and low speeds;

��focus on reading data, not on communications;

��the need to�form a�new infrastructure and new standards.




1.1.2�Internet of�Things potential threats


The problem of�building IoT in�different countries and systems using different protocols may increase in�the future when all devices are incompatible and it will not be possible to�link them together and collect the necessary data due to�the presence of�two or more different IoT protocols.

Currently, the most competitive are two approaches to�unifying open source platforms to�increase the interconnectedness of�products and devices�� Open Interconnect Consortium (OIC) and AllSeen Alliance.

To�understand the necessary technical support for IoT, it is worth considering several factors when approaching IoT security:

��IoT is a�developing and rapidly changing area. Adding new features also leads to�new vulnerabilities;

��IoT systems include not only sensors, but also software, as well as devices, platforms and infrastructure elements necessary for data transmission over the network, as well as data storage and analysis in�the cloud;�[30]

��IoT systems must be protected from threats to�other networks and users (external security), as well as from threats to�their users and property (internal security);�[30]

��the Internet is an interconnected network of�networks in�which the security of�each of�them affects the security of�the others.�[30]

Let�s look at some IoT security threats:

��Malware distribution botnets can be used to�attack IoT devices connected to�the global network;

��Denial of�service DoS attack to�slow down services and discredit businesses;

��social engineering attacks aimed at illegally obtaining confidential information about users can also be exposed to�devices connected to�IoT;

��targeted cyber attacks in�order to�gain illegal control and access to�the network while remaining unnoticed for a�long period of�time;

��ransomware virus;

��remote recording of�Internet of�Things users in�order to�obtain confidential data;

��physical damage to�equipment controlled by�the Internet of�Things by�obtaining control;

��falsification of�data in�order to�make wrong decisions;

��digital espionage.

As you can see, information in�the modern world plays a�very important role, especially when it is possible to�remotely control various devices or predict the implementation and manage business or technological processes, so cybersecurity issues come to�the fore.

Some methods of�IoT risk reduction:

��Management and control of�Internet of�Things endpoints by�identifying and adding to�the inventory of�resources to�reduce the likelihood of�cyber attacks;

��identify the IT security vulnerability zone;

��detection of�abnormal deviations in�data during the interaction of�devices and servers;

��using a�good data encryption system and protocols;

��management control at the identity level to�identify users and their actions. Authentication helps companies better understand how users access devices, which increases the level of�protection against vulnerabilities and misuse.

It is worth noting that with the development of�IoT, it is necessary to�guarantee sufficient security of�solutions, since they operate with a�large amount of�confidential data that directly affects the most important production processes. For this purpose, measures are carried out aimed�at:

��Security of�devices and sensors. Device security is implemented through device authentication, partial message encryption, and sensor firmware updates.;

��Connection protection. Ensuring the confidentiality of�data and their protection from unauthorized modification is necessary when transferring data between the device and the IoT platform. Here the protection is based on Transport Layer Security (TLS) technology. At the same time, the data is encrypted to�prevent unauthorized listening and understanding of�the content.




1.1.3�Authentication as an important factor of�the Internet of�Things


It is necessary to�ensure the following security properties of�Internet of�Things devices:

1) a�reliable access and authentication system based on cryptography. Encryption is necessary to�protect communication between iOS devices, and cryptographic device identifiers are needed for this. You need to�make sure that only authorized users have access to�connected devices;

2) cryptographic security of�the software. Using the PKI system to�sign the code and verify its authenticity;

3) software updates throughout the entire lifecycle of�devices.

From the point of�view of�ensuring the security of�Yota networks should be provided:

1) cryptographic data protection;

2) the absence of�critical dependencies on connectivity. Maintaining critical functionality by�the system even in�the absence of�communication;

3) creating an additional device specification that describes in�detail the required security policy for a�specific device.�[31]

The security of�the cloud platform is ensured�by:

1) control of�access to�device resources. The application declares a�set of�resources that it would like to�access, while the platform provides a�list of�devices with these resources. Accordingly, the user gets the opportunity to�choose which devices and their capabilities this application can have access to, thereby authorizing the application.;

2) two-factor user authentication technology to�increase the level of�security;

3) verification of�applications for the presence of�malicious code.�[31]




1.2�Internet of�Things in�the transport industry



Modern transport management is integrated, much attention is currently being paid to�the development of�multimodal and intermodal transport, since rail, road, aviation and sea modes of�transport are closely interrelated.�[66]

As noted in�the study [66], in�addition to�the Internet of�Things, cyber-physical systems (CPS) are used to�manage transport facilities, and then cyber-physical transport systems (TCPS). They allow you to�monitor and control physical devices in�real time. An important feature of�IoT is the use of�mobile smart devices.

Communications between particularly responsible elements in�transport play a�key role. The functioning of�modern rolling stock as a�set of�interconnected parts is largely provided by�smart mobile devices.�[66]

In�addition to�the types of�IoT information interaction in�TCPS transport cyberspace, V2V (Vehicular-to-Vehicular communications) interaction is often used, based on information interaction between single vehicles based on a�variety of�sensors that are installed on each mobile object. At the same time, information from individual vehicles enters a�single information space for optimal control and interaction of�moving objects.�[66]

In�the field of�transport, a�special wireless mobile communication network VANET is used. This network allows vehicles to�exchange a�variety of�information over a�wireless environment and contributes to�the intensification of�transportation.�[66]

The transport industry plays a�direct and significant role in�the country�s economy. Many aspects depend on the efficient functioning of�the transport system, such as timely delivery of�goods to�consumers, mobility of�passengers in�cities, logistics of�large industrial institutions. [23,24,27,30]

Experts [30] identify several IoT functions in�the transport industry, which include:

��obtaining the necessary data from the transport system;

��measurement of�read data;

��providing a�wireless connection for the exchange of�sent data;

��functioning of�a�cloud platform to�support management decision-making based on predictive analytics;

��implementation of�the regulatory impact according to�the decisions taken.

For the successful operation of�the Internet of�Things, several functional levels are distinguished:

��the level of�communication channels;

��analytical level;

��service level;

��the level of�infrastructure.

The communication channel layer helps in�transmitting data from the analytical layer through various networks. An important factor in�the development of�the level of�communication channels is the issue of�data transmission security. In�addition, it is necessary to�take into account the speed and transparency of�data transmission.

At the service level, actions are performed that are transferred from the technical level in�accordance with customer requirements. The service layer receives detailed information from the analytical layer through the communication channel layer. The received information is processed in�different ways and detailed analysis is carried out by�various computing tools.

The infrastructure layer is the layer that creates the technology necessary to�perform various services and store the information received. This includes the geoinformation system service, cloud computing platform, cloud storage, Big Data analysis tools,�etc.

In�the transport industry, digital technologies should allow the transition to�paperless technologies in�the operation and design of�any transport services, provide comprehensive monitoring of�the state of�transportation and transport infrastructure facilities.

It is worth noting the very important role of�IoT in�the tasks of�monitoring infrastructure and vehicles, the use of�which allows:

��to�take into account the work done, as well as the energy or resources spent on�it;

��to�predict based on the results of�data analysis of�the pre-failure condition of�the facility, for the implementation of�operational measures and prevention of�traffic safety violations;

��automate maintenance and determination of�pre-failure states;

��to�carry out operational changes in�the vehicle control mode on the studied infrastructure in�case of�detection of�dangerous failures.�[51]

With the help of�IoT technologies, it is possible to�conduct intelligent tracking of�the movement of�vehicles, their location at the current time, working hours and parking time, attempts to�enter the body of�the vehicle,�etc.

The use of�elements of�the Internet of�Things technology allows you to�measure the internal conditions inside the vehicle body during transportation (temperature, humidity, lighting conditions, etc.). The Internet of�Things can also be used in�vehicle control and navigation systems. Real-time monitoring of�vehicles using IoT tools allows for efficient delivery of�products to�consumers in�megacities.

The use of�IoT makes it possible to�significantly improve the quality of�public transport services, to�reorient the vector of�preferred use of�vehicles in�the structure of�the transport process from personal to�public transport and, thus, reduce the load on the road network.�[38]

Systems based on geolocation technologies in�conjunction with the Internet of�Things have also been widely developed, which allow linking information in�a�single network about the movement of�vehicles, which allows real-time forecasting of�the exact time of�arrival of�the desired object to�the stopping point [69,70,71] Wide access for a�large number of�users via devices connected to�the Internet, allows significantly improve the quality of�decisions made by�passengers on the implementation of�a�convenient travel option.

An important criterion for the implementation of�the development of�the transport infrastructure of�the passenger complex is the accuracy of�the analysis and forecasting of�passenger flows. Most of�this data is obtained by�consolidating information about the number of�people who have passed, taking into account the time of�day, from sensors located in�turnstiles [25,26,28].

The development of�predictive analytics systems on the impact of�weather events and weather emergencies on the restriction of�transport, based on IoT data, allows for early adjustment of�the timetable, notifying the population and transmitting a�signal about the mobilization of�emergency services.




1.2.1�IoT application in�railway transport


In�the context of�the implementation of�trends for the development of�the digital economy in�the Russian Federation and particularly important sectors of�the national economy, the Digital Railway project is also being implemented, which is based on the concept of�automatic collection of�all necessary primary information about the state of�the transportation process. Particularly important information affecting traffic safety and requiring operational control can include: the current state of�the SCB, the speed and weight of�trains, the dislocation of�mobile units and their current condition, the presence of�restrictions, etc.

The core of�the formation of�digital railway technologies is the full integration of�intelligent communication technologies between the user, vehicle, traffic management system and infrastructure.

The main tasks of�using IoT in�railway transport include:

��reducing the influence of�the human factor;

��development of�paperless document management;

��improving the reliability and safety of�traffic;

��reduction of�the number of�workers in�the area of�heavy traffic;

��reduction of�the life cycle cost of�railway infrastructure and rolling stock;

��improvement of�transport logistics;

��expansion of�international transport corridors.

In�railway transport, the industrial Internet of�Things is characterized by�the unification of�information collection systems, a�cloud platform and a�personalized system for the formation of�control actions.

There are many functional directions for the development of�digital technologies and IoT. In�particular, in�relation to�the railway transport complex, the following can be distinguished:

1) IoT is used in�working with rolling stock: passenger and freight cars, locomotives, electric trains. With this technology, it is possible to�control their movement and location in�order to�provide additional services.

The role of�IoT in�performing the task of�optimizing production processes consists of�the following functions:

��maintenance of�rolling stock according to�technical condition;

��reduction of�consumption of�fuel and energy resources;

��remote monitoring and control of�the location of�the locomotive and wagon fleet, optimization of�the logistics of�wagons and cargo.

2) IoT diagnostics and monitoring of�the condition of�rolling stock:

��analysis of�data promptly received from sensors in�the process of�monitoring the technical condition of�the train, allows you to�move from the modeling system to�predicting the pre-failure condition;

��development of�preventive measures aimed at improving reliability and operational readiness to�increase the service life of�particularly important components and parts of�rolling stock, based on the analysis of�their monitoring;

��reduction of�the probability of�failures of�the main elements and associated downtime;

��creation of�a�database on the terms of�repairs and areas of�circulation of�rolling stock for rational planning of�maintenance and repair;

��planning the allocation of�resources and spare parts for repair work.

Data from monitoring systems of�train parameters �on the move� are analyzed in�real time and used to�prevent accidents in�the operation of�rolling stock.�[51]

3) IoT is used to�monitor railway infrastructure. With the help of�sensors, you can monitor the state of�the infrastructure in�real time, as well as predict pre-failure states.

The IoT functions for optimizing the technological state of�the infrastructure are as follows:

��remote monitoring and control of�the dynamic characteristics of�the railway track and switches;

��remote control and monitoring of�separate points and crossings;

��precise positioning of�the controlled object to�increase the speed of�response to�dangerous failures;

��improving the objectivity of�the analysis of�the state of�objects

and their parameters in�real time.

��remote monitoring and control of�automation and telemechanics.

When processing electronic data about a�defect from an IoT device, an application for repair can be automatically created, the necessary material can be reserved in�the warehouse and workers can be sent to�the place of�the defect.

4) The task of�optimizing the control of�consumption of�fuel and energy resources:

��automatic monitoring of�fuel and energy resources consumption;

��analysis of�fuel discharge cases;

��assessment of�the directions of�saving fuel and energy resources and the development of�a�system for building energy-efficient traffic schedules depending on the current state of�the infrastructure;

��determination and analysis of�the train driving style by�drivers;

��monitoring of�stop periods.

5) IoT is also used to�ensure the safety of�personnel at work. As part of�this, it is carried�out:

��online monitoring of�the driver�s current condition using sensors embedded in�wristbands to�prevent emergencies;

��monitoring the presence of�personnel in�permitted/prohibited areas;

��notification of�the approach of�mobile units to�the area where workers are located with the transmission of�signals by�warning devices based on satellite navigation.

6) IoT is used to�provide additional services to�passengers:

��provision of�self-service services to�passengers to�purchase tickets and offer additional services of�interest;

��remote control of�information boards and panels on passenger infrastructure and rolling stock for passengers to�receive relevant and important information;

��providing access to�the Internet.

7) The use of�IoT for the implementation of�intermodal transportation and transportation of�dangerous goods (hereinafter referred to�as OG) is intended to�implement the following functions:

��ensuring high accuracy and efficiency of�data on the positioning of�containers and wagons with�OG;

��control of�the integrity of�the container or wagon with exhaust�gas;

��control of�delivery time;

��monitoring of��abandoned� containers or wagons with exhaust

8) The use of�IoT to�evaluate the efficiency of�operation and determine the cost of�downtime is aimed�at:

��optimizing the turnover time / size of�the composition;

��determining the cost of�downtime and invoicing;

��documentation of�punctuality.

In�European countries, the ERTMS system is used to�improve traffic safety and control the movement of�rolling stock on the site. The operation of�this system is based on the principle of�preventing train collisions by�accurately positioning and controlling trains based on the calculation of�the distance �to�the target�. The implementation of�this technology is based on the information interaction of�ground sensors, which promptly send data to�the train cabin about the final goal and speed, as well as a�description of�the configuration and condition of�infrastructure elements. Based on the analysis of�data on the forward train, the speed and mode of�train driving are adjusted.

The use of�IoT and information about the location and condition of�economic trains in�the process of�construction and repair work will ensure dispatching regulation not according to�the standard, but according to�the actual condition. There will also be automatic transmission of�information about identified potentially dangerous failures and a�warning about the necessary measures (speed limit, application for work, etc.) will be generated to�prevent the transition of�this failure in�case of�a�traffic safety violation.




1.2.2�IoT in�auto transport


An analysis of�the use of�IoT on various types of�transport indicates that this technology has received the greatest development and scaling in�the field of�motor transport, since the number of�motorists exceeds the number of�professional pilots, machinists and navigators by�an order of�magnitude. Based on the use of�smartphone data with geolocation connected to�a�single network, traffic monitoring systems have been built on maps.

The use of�cloud solutions provides:

��rational distribution and use of�transport resources;

��minimization of�the required fleet;

��reduction of�mileage by�optimizing routes;

��reduction of�associated costs.

The applicability of�the Internet of�Things in�the transport industry is considered as follows:

��as an integral part of�the vehicle management system: online monitoring of�on-board vehicle systems by�a�service center to�prevent maintenance, remote diagnostics, etc.;

��allows you to�manage traffic and control: devices collect traffic information and send it directly to�the devices of�drivers who plan their route based on this information;

��provides new transport scenarios (multimodal transport): the user of�a�special system will be offered a�solution for transportation from point A�to�B based on all available and suitable vehicles;

��provide autonomous driving and interaction with infrastructure: the interaction between the vehicle and the environment is carried out by�considering road navigation systems that combine the localization of�the road and the assessment of�the shape of�the road.�[46]

The intelligent movement system is based not on the use of�local information space, but on the use of�cloud distributed space (cloud) or distributed cyberspace with real mobile units.

The use of�cloud technologies allows you to�centrally collect a�large amount of�data in�real time:

��on the state of�traffic congestion of�the road network;

��on the parameters of�vehicles (the state of�the most critical components and aggregates, speed, congestion, etc.);

��about traffic safety on the route and emergency situations;

��about the environmental situation and the conditions of�movement of�vehicles depending on the state of�the weather and the forecast of�its changes;

��about the availability, fuel consumption and location of�the nearest filling stations.�[66]

For the successful functioning of�dispatching and logistics services, the use of�the Internet of�Things makes it possible to�obtain in�information systems operational information about the state of�transportation with geolocation of�vehicles displayed on the map, taking into account restrictions on the movement of�certain types of�vehicles on highways.�[66]

For drivers, the most obvious application of�IoT technology is the use of�navigators indicating congestion, for passengers�� the use of�an interactive screen with a�public transport schedule. The main advantage is updating these devices online.

Optimal driving routes can be found for motorists due to�the fact that data on car speeds in�specified areas is processed in�the cloud service. This leads to�time savings for both drivers and passengers. At the same time, it is possible to�reduce the risk of�accidents, since there will be less congestion of�vehicles.

IoT technologies in�the activities of�car manufacturers make it possible to�significantly improve the work on the release of�new models and decision-making on the refinement of�existing ones due to�the automated collection of�a�large amount of�data on the operation of�these vehicles around the world, as well as significantly accelerates the analysis of�serial deficiencies. [38] The analysis of�the performance of�cars and modes of�use by�drivers of�vehicles allows timely release of�current software updates, which significantly improves the service provided to�consumers.

The introduction of�IoT in�road transport will allow optimizing the movement of�vehicles through analytical algorithms in�the network, each vehicle in�which is represented as a�separate intellectual object. This is necessary for the construction of�a�new vehicle communication system and the transition from the organization of�traffic through intersections through traffic light regulation to�intelligent control using wireless communication channels. An alternative option is the use of�IoT for intelligent control of�traffic light operating modes and the organization of�a��green wave� on a�section of�the road network based on operational data on the structure and capacity of�traffic flows. A�feature of�the application of�the �smart traffic light� is the optimal change in�the time of�the phases of�its switching.

Special attention is paid to�the organization of�prompt and unhindered movement of�emergency services to�the destination, depending on the current traffic situation, the branching of�the road network, the construction of�the most rational route, the priority of�the movement of�these services in�the organization of�traffic light regulation.

The use of�communication between traffic lights reduces fuel consumption and emissions of�pollutants into the atmospheric�air.

Thus, the introduction of�IoT technologies in�the automotive industry allows you to�reduce congestion at intersections, total travel time, save fuel, reduce emissions of�harmful substances from motor transport, reduce the time of�emergency services to�their destination, organize parking.�[72]



1.2.2.1�Road safety system

In�the event of�an accident, the necessary information about the vehicle, including its exact coordinates, the time of�the accident, damage data is automatically transmitted to�the server center of�the monitoring system and will allow for prompt notification and response of�the involved services.�[46]

Another direction of�IoT implementation is warning about potential dangers on the road and timely detection of�deviations of�vehicle parameters from regulatory values in�order to�prevent the occurrence of�road accidents and carry out appropriate measures to�manage a�dangerous failure.

The use of�IoT is also aimed at increasing the active safety of�cars through the use of�intelligent transport systems in�operation:

��registration of�vehicle movement parameters;

��registration of�parameters of�road accidents;

��lane departure warnings (LDWS);

��tire air pressure monitoring;

��monitoring of�the driver�s condition.

Thus, work is underway to�build an IoT ecosystem to�improve road safety. In�addition to�intelligent brake control support, an important factor is monitoring the condition of�car tires online, since uneven wear and changes in�the parameters of�the interaction of�wheels with the road surface depend on the actual tire pressure.

The construction of�a�cloud system will ensure that information about a�significant deviation in�temperature and tire pressure level from the standards is received on the vehicle�s on-board computer or on the owner�s phone, as well as on the traffic police network resources, in�order to�identify inconsistencies in�their operating modes and promptly take measures to�eliminate this incident. Recommendations on the time of�the next maintenance are also formed.

Today, many companies are working on projects for the intellectualization of�cars. Tesla, Honda, KAMAZ and other automakers have fully autonomous vehicles in�the form of�concepts and models ready for production.

Along with the development of�fully autonomous vehicles, automakers are working on improving driver assistance systems (ADAS) that use V2X and 5G technologies to�communicate with other road users.

These include machine learning and big data, the use of�sensor information and automation. The idea is that intelligent machines are better than humans at receiving, analyzing and transmitting data. Manufacturers can identify inefficiencies and problems of�new models earlier and quickly find solutions to�eliminate them.



1.2.2.2�Self-driving�cars

An actual trend in�recent years is the introduction of�autonomous driving technology to�improve the efficiency and safety of�traffic�[46]

Already today, there is a��Connected cars� technology that allows a�car to�have a�permanent bidirectional connection with other devices and machines. It should be noted right away that an increase in�the number of�such machines will improve the interaction between them.

To�date, the following systems of�intelligent interaction of�objects of�the transport process and the environment are distinguished:

V2I (Vehicle to�Infrastructure (markings, traffic lights, road signs, etc.)): this type collects information about the infrastructure around the car, about changes in�environmental conditions, about safety, etc.;

V2V (Vehicle to�vehicle): this type, in�turn, collects information and is exchanged by�means of�wireless technologies with the nearest machines to�reduce accidents;

V2C (Vehicle to�cloud): allows you to�share information with the cloud and use information from other areas related to�the cloud, for example, with a�smart home;

V2P (Vehicle to�people or Vehicle to�pedestrian): exchanges information with pedestrians, allows you to�increase mobility and reduce accidents on the roads;

V2X (Vehicle to�Everything): exchanges information with all vehicles and infrastructure, includes cars, highways, planes,�etc.

��V2D (Vehicle to�device);

��I2I (infrastructure-to-infrastructure, interaction between different infrastructure elements).

Prospects for using IoT in�combination with unmanned vehicles:

��smart home management. When plotting a�route to�the user�s home, an unmanned vehicle can send a�signal to�the home equipment to�perform certain actions, as well as control the garage door, which will automatically park the unmanned vehicle, and much more;

��route estimation. The car, using IoT technologies, can estimate the route (elevation difference, traffic congestion), thereby optimizing its further movement;

��automatic payment. A�simple but convenient way to�pay for parking, toll roads, and more;

��reduction of�accidents on the roads. The computer responsible for driving the car will be able to�automatically receive information about possible concentrations of�people in�certain areas and take the necessary measures.

Depending on the frequency and specifics of�trips, artificial intelligence will be able to�predict, for example, the need for a�technical inspection or the need to�replace tires.




1.2.3�Application of�IoT in�the aviation industry


As noted in, the use of�IoT for dynamic tracking and compensation of�turbulent flows on the surface of�aircraft is actively developing to�improve the efficiency of�aircraft design and reduce fuel consumption.

To�overcome the difficulties of�measuring at high speeds of�modern aircraft, engineering solutions are being developed for the placement of�dense networks of�sensors and actuators for accurate registration, the formation of�turbulent flows and the development of�control actions aimed at countering their effects.

The usual air transport control towers are being replaced by�intelligent systems based on receiving data from high-precision video cameras of�a�new generation. It also allows you to�adjust the schemes of�operation of�ground transport of�airports, planning of�passenger terminals.




1.2.4�Internet of�Things in�marine environment monitoring


The issues of�monitoring the marine environment are currently receiving close attention due to�the importance of�climate change issues. It is worth noting that traditional marine monitoring systems take a�lot of�time, and the collected data have a�low resolution. The Internet of�Things plays an important role in�this area. Compared to�wireless sensor networks (WSN), IoT has much more powerful data processing capabilities, providing intelligent object management.

The scope of�marine environment monitoring based on IoT include: 1) ocean sounding and monitoring; 2) water quality monitoring; 3) coral reef monitoring; 4) offshore or deep-sea fisheries monitoring.

Sensor nodes are used to�determine and monitor environmental parameters such as water temperature and pH, salinity, turbidity, oxygen density and chlorophyll levels, and the collected data is transmitted to�the receiving nodes via the ZigBee network protocol or other wireless communication protocols.

The use of�digital technologies makes it possible to�improve the methods of�monitoring and detection of�water pollution. The use of�specialized applications opens up new opportunities for underwater climate registration, monitoring of�marine fauna, detection of�natural resources, pipeline leaks,�etc.




1.3�Digital logistics



The use of�IoT for operational monitoring of�cargo movement and the condition of�objects of�the transport process in�online mode is aimed at accelerating the promotion of�cargo flows and reducing the cost of�cargo delivery. The creation of�a�unified information network that consolidates data on the movement of�goods with other sources of�information allows for optimal interaction with shippers and consignees and to�improve the quality of�logistics services, which makes the logistics process more open.�[39]

Logistics is one of�the first areas in�which the introduction of�IoT technology has begun for the implementation of�intelligent, networked and automated logistics operations, where the Internet acts as a�necessary tool.

The logistics sphere is one of�the most important in�which the Internet of�Things technologies have become widespread due to�the fact that it is characterized by�large volumes of�moved, tracked and interacting objects.

As indicated, the availability of�modern intelligent logistics systems has a�great influence on the economic competitiveness of�the country. To�ensure the rapid pace of�formation and implementation of�cargo supply chains in�electronic commerce, it is necessary to�use digital tools to�optimize demand forecasting and rational inventory planning of�goods in�warehouses in�various geographical regions in�order to�reduce the cost of�delivery and the time of�turnover of�goods. This has determined the change of�trends at the present time from the optimization of�commodity movement to�the optimization of�information flows.

The key goal is the transition from warehouse, transport and trade logistics to�distribution logistics, based on an optimal analysis of�the requirements of�buyers and consumers, taking into account the criterion of�maximum proximity to�places of�sale or use for rational supply chain management.

IoT makes it possible to�make the procurement planning system more accessible to�the customer, taking into account logistics costs, by�increasing transparency and relevance of�information about all offers.

The following areas of�application of�IoT in�the logistics complex can be distinguished:

1) autonomous warehouse equipment;

2) control of�the current location and dislocation of�goods, inventory of�the warehouse, tracking of�goods throughout the supply chain;

3) prevention of�misuse of�transport and theft of�fuel.

Logistics intellectualization is based on the principles of�intelligent management and integration of�all parts of�the logistics process into an integration system with the lowest costs

The Internet of�Things can implement functions such as intelligent identification, positioning, tracking, monitoring and management of�various objects (including people).

Modern realities have identified logistics needs and at the same time put forward new requirements for logistics companies, such as the ability to�receive and transmit logistics information in�a�timely and accurate manner and provide customers with real-time information.

Building a�digital ecosystem of�transport logistics will allow the user to�calculate the cost of�cargo transportation, promptly send a�request for transportation, and organize monitoring of�this process.�[45]




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