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Journal articles on the topic 'Transport intelligent'

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Author: Grafiati

Published: 1 June 2024

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1

Kazembe, Mangani Daudi. "Intelligent Transport Systems." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (July 31, 2022): 488–92. http://dx.doi.org/10.22214/ijraset.2022.45271.

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Abstract: Growing economic activities aand others are among the factors that make many cities busy places today especially in traffic systems. Road networks that seem to be spacious sometimes become completely congested so much so that traffic mobility looks standstill. This impacts negatively on traffic users resources in terms of time management, fuel and other resource. This paper discusses the background trend in traffic activities amid congestion environment and proposes an Intelligent Traffic System that uses Machine Learning technique of predictive classification and regression to help traffic users determine forehand on the congestion status of available roads or highways. This further suggests that if the road user tries to avoid congestion, then the congestion levels will minimize. For simplicity, the data that has been used for congestion has been from a csv file containing previous datasets of local roads or highways.

2

Gustafsson, J. "Vectus—Intelligent Transport." Proceedings of the IEEE 97, no. 11 (November 2009): 1856–63. http://dx.doi.org/10.1109/jproc.2009.2030242.

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3

Carter, Alan. "Intelligent Transport Systems." Journal of Navigation 54, no. 1 (January 2001): 57–64. http://dx.doi.org/10.1017/s0373463300001156.

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This and the following paper were first presented at NAV 2000 on Thursday, 2 November 2000 – the day devoted to Location and Communication for Land Vehicles.This paper discusses the need for Intelligent Transport Systems (ITS) and the key factors influencing the Government's Integrated Transport Policy. Typical ITS projects and applications in the UK are reviewed and conclusions drawn.

4

STODOLA, Jiri, Petr STODOLA, and Jan FURCH. "Intelligent Transport Systems." Challenges to national defence in contemporary geopolitical situation 2022, no. 1 (November 3, 2022): 41–49. http://dx.doi.org/10.47459/cndcgs.2022.5.

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An important strategic goal of the infrastructure development in the Czech Republic is the use of modern detection, diagnostic, information, control and security technologies based on intelligent transport systems (ITS), global navigation satellite systems and Earth observation systems. The modern transport system is based on a multimodal and intermodal approach. The individual modes of transport are being developed to form a coherent whole from the users’ point of view. Transport infrastructure and vehicles must be in good technical condition and equipped with intelligent technologies. Managing the process of transporting people and goods requires reliable transmission of information in real time. The transport system must also be operated in a secure manner, be prepared for risk and emergencies and have the ability to deal with security threats arising from illegal behaviour. The paper briefly shows the process of building ITS, the possibilities of using modern intelligent information, diagnostic, control and safety technologies in transport until 2027 with a view to 2050.

5

Tsugawa, Sadayuki. "Intelligent Transport Systems. An Overview on the Intelligent Transport Systems." Journal of the Robotics Society of Japan 17, no. 3 (1999): 312–20. http://dx.doi.org/10.7210/jrsj.17.312.

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U.J Phatak, U. J. Phatak, Nivedita Kaushik Nivedita Kaushik, Lintu Abraham, Sudeep Mitra, and Sagar Dalal. "Intelligent Transport System: A Sustainable Future Prospect." International Journal of Scientific Research 3, no. 4 (June 1, 2012): 157–58. http://dx.doi.org/10.15373/22778179/apr2014/54.

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7

Bian, Chentong, Guodong Yin, Liwei Xu, and Ning Zhang. "REAR-END COLLISION ESCAPE ALGORITHM FOR INTELLIGENT VEHICLES SUPPORTED BY VEHICULAR COMMUNICATION." Transport 37, no. 6 (December 31, 2022): 398–410. http://dx.doi.org/10.3846/transport.2022.18172.

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To reduce rear-end collision risks and improve traffic safety, a novel rear-end collision escape algorithm is proposed for intelligent vehicles supported by vehicular communication. Numerous research has been carried out on rear-end collision avoidance. Most of these studies focused on maintaining a safe front clearance of a vehicle while only few considered the vehicle’s rear clearance. However, an intelligent vehicle may be collided by a following vehicle due to wrong manoeuvres of an unskilled driver of the following vehicle. Hence, it is essential for an intelligent vehicle to maintain a safe rear clearance when there is potential for a rear-end collision caused by a following vehicle. In this study, a rear-end collision escape algorithm is proposed to prevent rear-end collisions by a following vehicle considering both straight and curved roads. A trajectory planning method is designed according to the motions of the considered intelligent vehicle and the corresponding adjacent vehicles. The successive linearization and the Model Predictive Control (MPC) algorithms are used to design a motion controller in the proposed algorithm. Simulations were performed to demonstrate the effectiveness of the proposed algorithm. The results show that the proposed algorithm is effective in preventing rear-end collisions caused by a following vehicle.

8

Wang, Wuhong, Geert Wets, Heiner Bubb, and Huimin Niu. "Green Intelligent Transport System." Discrete Dynamics in Nature and Society 2014 (2014): 1–2. http://dx.doi.org/10.1155/2014/250475.

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Pangbourne, Kate, and Seraphim Alvanides. "Towards intelligent transport geography." Journal of Transport Geography 34 (January 2014): 231–32. http://dx.doi.org/10.1016/j.jtrangeo.2013.10.005.

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Babich, Y., D. Bagachuk, L. Bukata, L. Hlazunova, and S. Shnaider. "DIGITAL ENTITIES COMMUNICATION WITHIN A BLOCKCHAIN-ENABLED INTELLIGENT TRANSPORT SYSTEM." Information and communication technologies, electronic engineering 3, no. 2 (September 2023): 12–19. http://dx.doi.org/10.23939/ictee2023.02.012.

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Nowadays the blockchain is considered to be an integral part of intelligent transport systems. Intelligence of a transport systems allows to increase road safety, wisely utilize systems’ resources and provide additional services to participants. However, blockchain implementations for intelligent transport systems must be adopted to the peculiarities of such systems. This work analyzes existing blockchain solutions, their features, advantages, drawbacks, and presents a consortium type blockchain implementation for an intelligent transport system. This implementation includes a two-layered architecture of digital entities interaction, consideration for digital entities distribution over the layers, consensus mechanism selection and its implementation, trust model considerations, and a block structure for the proposed blockchain implementation. The article also brings the solution to the single point of failure vulnerability of the proposed blockchain system. Thus, the paper covers key aspects of a blockchain design for an intelligent transport system.

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Sangole, Ketan A. "Intelligent Transport System - Study of Intelligent Transportation Systems for Urban Transport Planning." International Journal for Research in Applied Science and Engineering Technology 8, no. 9 (September 30, 2020): 421–33. http://dx.doi.org/10.22214/ijraset.2020.31475.

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Korjagin, Sergey, Ksenia Polupan, Pavel Klachek, Alexey Pyatikop, and Evgeniy Koryagin. "Intelligent road traffic management based on the system of fuzzy situational management and virtual cyberspace." MATEC Web of Conferences 334 (2021): 01013. http://dx.doi.org/10.1051/matecconf/202133401013.

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Theoretical and applied ideas and tools of traffic intelligent management on the basis of fuzzy situational management and virtual cyberspace are developed through the system approach, artificial intelligence methods, modern achievements in the field of the creation of intelligent transport systems (ITS). The proposed scientifically-methodical foundations and software and hardware tools allow the creation of intelligent transport systems at a new level, synchronizing the development of road traffic infrastructure and virtual cyberspace, allowing to solve effectively a rather large range of theoretical and applied problems in the field of traffic management, transport modelling and planning.

13

Babu, Dr A. Mahesh, Barapati Akhil, and Naveen Kumar Pochampally. "Smart Cities and Intelligent Transport Systems." International Journal of Applied and Structural Mechanics, no. 31 (January 28, 2023): 22–25. http://dx.doi.org/10.55529/ijasm.31.22.25.

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The integration of technology into cities and transportation networks has the potential to improve the quality of life for residents, reduce congestion and pollution, and increase the overall efficiency of urban cities and their transportation system. Smart cities use technology to improve the efficiency and sustainability of urban areas. This can include things like smart lighting, the internet of things (IoT), energy management, artificial intelligence and smart transportation systems. An intelligent transport system is a component of a smart city that uses technology, to improve the efficiency and safety of the transportation network. This can include things like traffic management systems, real-time passenger information, and intelligent traffic signals. Together all smart cities and ITS can help to reduce congestion, improve air quality, and make cities more liable to residents. Intelligent transport systems (ITS) can revolutionise the way people commute in metro cities. ITS offer a wide range of approaches to providing multiple transportation types, advanced infrastructure, and traffic mobility management solutions. It uses several electronics, wireless and communication technologies to provide consumers with access to a smarter, safer, and fast way to travel around the city

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Et. al., Srinivasa srikrishna joshi,. "Intelligent School Bus: Guarrenteeing Safety Ofschool Children." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (April 10, 2021): 3239–44. http://dx.doi.org/10.17762/turcomat.v12i2.2382.

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On assessing the previous work of faculty transport following, checking and cautioning framework, there's a likelihood to order different procedures and distinguish new patterns. one of them may be a test for vehicle following, observing and cautioning framework. Presently a days with the ascent inside the rate and mishaps, guardians stress over their youngsters once they are having the opportunity to schools. what's more, bunches of youngsters end up bolted during a transport inside the transport leaving zone subsequent to nodding off on their gratitude to class, miss the transport, or leave at the wrong station. This task utilizes the pertinence of recurrence recognizable proof (RFID) innovation for following and checking utilizing GPS, kids during their excursion to and from school-on-school transports. Furthermore, it's the potential gain of powerful after limits, ease and clear upkeep. The individual RFID names are convincing and it's used for following and noticingyoungsters. Vibration sensor is this undertaking to identify any mishaps and site refreshed on cloud. And furthermore, checking the main thrust status as driver burn-through liquor and motor is off observing an alarming framework. The system involves three rule units, transport unit, parent unit and faculty unit The transport unit is utilized to identify when a baby enters/exits from the transport utilizing RFID Card. This data is conveyed to the parent unit and facult y unit that recognize the presence of adolescents. The framework tracks the varsity transport by the IOT.

15

Jeong, EunHee, ByungKwan Lee, and INa Jung. "A Design of ITMS(Intelligent Transport Monitoring System) for Optimization of Freight Transport." Journal of the Korea Institute of Information and Communication Engineering 17, no. 12 (December 31, 2013): 2853–58. http://dx.doi.org/10.6109/jkiice.2013.17.12.2853.

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Bazhina, M. A. "Intelligent Transport Systems as the Basis of de Lege Ferenda of the Transport System of the Russian Federation." Journal of Digital Technologies and Law 1, no. 3 (August 20, 2023): 630–49. http://dx.doi.org/10.21202/jdtl.2023.27.

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Objective: to research the trends of legal regulation of using intelligent transport systems under digital transformation of the transport sector of economy, namely, the growing importance of intelligent transport systems in the future transport system of the Russian Federation.Methods: systemic-structural method is the basis for researching intelligent transport systems. It enables to study the architecture of intelligent transport systems as a complex structural unity. Also, comparative-legal method was used, aimed at illustrating the differences and similarities in the legal regulation of intelligent transport systems. Methods of legal modeling and forecasting, as well as formal-logic method, served as secondary methods to comprehensively study the legal regulation of intelligent transport systems.Results: the article presents conceptual approaches to defining the notion of “intelligent transport systems” and outlining the hierarchy of intelligent transport systems, which play a fundamental role in building the transport sector. Based on the analysis, conclusions are made about the vectors of forming transport legislation, aimed at regulating the use of intelligent transport systems.Scientific novelty: the article provides a conceptual approach to forming the legal regulation of intelligent transport systems. To this end, the issue is considered about the essential content of the notion of “intelligent transport systems” at legal and scientific levels; the current terminological problems in building the legal regulation are shown. Analysis of the architecture of intelligent transport systems allowed for the first time to formulate the basic approaches to shaping the legal regulation of its individual elements (including highly automated and fully automated transport means, “smart” infrastructure, etc.) not in isolation but as constituent parts of the whole matter.Practical significance: the presented materials and conclusions facilitate the development of legal regulation of transport industry under digital transformation. The article accentuates the legal regulation of intelligent transport systems taking into account their technical and technological features. It is the intelligent transport systems that are de lege ferenda of the transport system, which determines the vector of transformation of transport legislation. In turn, development of the legal bases allows broadening the geography of introducing technical novelties and making their application much more large-scale.

17

Iqbal, Mehwish, Shaista Noreen, Tayyaba Sabir, and Salman Afghani. "Intelligent Transport Fleet Management System." IOSR Journal of Electrical and Electronics Engineering 9, no. 1 (2014): 68–75. http://dx.doi.org/10.9790/1676-09116875.

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18

Sunghan Lim. "Intelligent transport systems in Korea." International Journal of Engineering and Industries 3, no. 4 (December 31, 2012): 58–64. http://dx.doi.org/10.4156/ijei.vol3.issue4.7.

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19

Waseem, Muhammad, Khawaja Arslan Ahmed, and Muhammad Talha Azeem. "Blockchain Based Intelligent Transport System." Modern Innovations, Systems and Technologies 1, no. 3 (September 30, 2021): 70–88. http://dx.doi.org/10.47813/2782-2818-2021-1-3-70-88.

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Blockchain technology is widely studied in these days and has vital role in the ITS and Vehicular network. Intelligent Transport System (ITS) have resolved several issues of transportation like congestion, electronic toll collection, traffic light cameras, traffic updates, and environment forecasting. The vehicular network is the ever-increasing network it is not only facilitates us but also brings new challenges with it. The mobile nature of vehicular networks it is very important to collect and broadcast information of traffic events in real-time. A little delay to broadcast important information or deciding on this information can cause a serious situation in the mobile vehicular network. Moreover, malicious vehicles in the network broadcasting false information about these traffic events cause a disturbance in the network. In large-scale scenarios, the transmission of malicious messages offers a lot of danger to the system. They can wrongly claim the roads and provide false information about the incident. These traffic events can be life-threatening and cause unwanted situations like accidents, wastage of time and other resources. Therefore, it is very much important to provide real-time information on recent traffic events and real-time authentication of vehicles that broadcast information in the network. Traditional studies are unable to solve these security issues and contain a single point of failure issue. These studies are centralized and dependent on a single higher authority. Moreover, they have serious security concerns that are harmful for vehicular network. Moreover, any vehicles are unwilling to share their private information while broadcasting information about traffic events because they are strangers to each other. And if a vehicle does not want to share its private information like name, id, etc. It is not possible to authenticate this vehicle and manage trust in the network. It means that it is very crucial to prevent vehicles to broadcast wrong information in the network while preserving their privacy at the same time. Therefore, there is a need to authenticate vehicles and manage trust in the network while preserving their privacy simultaneously. Blockchain can offer better solution to solve these issues due to its secure distributed environment and features that ensure immutability about actions. The purpose of this report is to provide real-time security and privacy in the network. It is also ensured that vehicles get real-time authenticated information about traffic incidents from legitimate vehicles while simultaneously preserving their privacy. It means that only authenticated and legitimate entities (vehicles) can participate in vehicular network and privacy of both sender and receiver is secured in the network. Details of conducted experiments are given, and shreds of evidence are provided to evaluate the performance of architectures for authentication and trust management. The shreds of evidence show that these blockchain-based systems can solve security and trust issues more effectively.

20

UCHIMURA, Keiichi. "Intelligent Transport System and I." IEICE ESS Fundamentals Review 11, no. 4 (2018): 225–34. http://dx.doi.org/10.1587/essfr.11.4_225.

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TSUGAWA, Sadayuki. "Issues on Intelligent Transport Systems." IEICE ESS FUNDAMENTALS REVIEW 2, no. 3 (2009): 59–65. http://dx.doi.org/10.1587/essfr.2.3_59.

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Nishimura, Shigeki, Shingo Tsuda, Shingo Ohashi, Kouji Kagawa, Masanobu Nagao, and Tatsuji Matumoto. "Intelligent Transport Systems. Navigation System." Journal of the Robotics Society of Japan 17, no. 3 (1999): 339–44. http://dx.doi.org/10.7210/jrsj.17.339.

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23

TSUGAWA, Sadayuki. "Communications in Intelligent Transport Systems." Journal of the Society of Mechanical Engineers 105, no. 1000 (2002): 178–79. http://dx.doi.org/10.1299/jsmemag.105.1000_178.

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24

Ygnace, J. "Les systèmes de transport intelligent." Recherche - Transports - Sécurité 68 (September 2000): 87. http://dx.doi.org/10.1016/s0761-8980(00)90026-8.

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Ashokkumar, K., Baron Sam, R. Arshadprabhu, and Britto. "Cloud Based Intelligent Transport System." Procedia Computer Science 50 (2015): 58–63. http://dx.doi.org/10.1016/j.procs.2015.04.061.

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26

Wu, J., Y. Sui, and T. Wang. "Intelligent transport systems in China." Proceedings of the Institution of Civil Engineers - Municipal Engineer 162, no. 1 (March 2009): 25–32. http://dx.doi.org/10.1680/muen.2009.162.1.25.

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Redaktion, TATuP. "ITS'99 - Intelligent Transport System." TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis 8, no. 1 (March 1, 1999): 140. http://dx.doi.org/10.14512/tatup.8.1.140.

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Kliuiev, Sergii A., Artem E. Sihonin, and Serhii V. Tsymbal. "Development of intelligent transport systems." Journal of Mechanical Engineering and Transport 18, no. 2 (February 14, 2024): 80–86. http://dx.doi.org/10.31649/2413-4503-2023-18-2-80-86.

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The purpose of the article is to develop a refined methodology for the general design of a container terminal. The difference between the given design methodology and the existing ones is that a decision is proposed to change its throughput (annual container flow passing through it), without changing the dimensions of the container yard and the way containers are stored, that is, for the same capacity of the container yard. Such cases occur, for example, when it is necessary to reconstruct a container terminal. Cargo terminals for containers are a specific field of logistics and cargo delivery system, where cargo is processed in consolidated transport modules - containers. Considered the main stages of designing a container terminal as a complex stochastic technical system: setting the task (it should be a single one); selection and determination of elements of technological zones and the structure of the container terminal, as various connections between system elements; analysis of system functioning (including its modeling); account of interaction of the system with the environment; consideration of the results of the container transport and technological system and operation. It is determined that this general methodology can be used during the creation or analysis of any other transformation of a technical or social system that receives a stream of some objects with one set of parameters, processes it through its structure and outputs them from other parameters. This method of formalizing the functioning of the container terminal can be used for its calculations, modeling, research and optimization. In the processes of interaction with environmental systems, the container terminal passes from one state to another, which is characterized by the types and volume of technological operations that must be performed at a certain moment, cargo that must be stored, delivered to and from the terminal, assembled, sorted, business employee processes, forklifts, cranes and other equipment in use. The functioning of the container terminal (part of the warehouse system) as a procedure of transitions from one state to another can be represented in the form of a graph or transition probability matrix.

29

Tomás, Vicente R., J. Javier Samper, Francisco R. Soriano, and Marta Pla Castells. "Intelligent transport systems harmonisation assessment: use case of some Spanish intelligent transport systems services." IET Intelligent Transport Systems 7, no. 3 (September 1, 2013): 361–70. http://dx.doi.org/10.1049/iet-its.2013.0008.

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Štencl, Michael, and Viliam Lendel. "Application of selected artificial intelligence methods in terms of transport and intelligent transport systems." Periodica Polytechnica Transportation Engineering 40, no. 1 (2012): 11. http://dx.doi.org/10.3311/pp.tr.2012-1.02.

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31

O, Gulchak, Tkachenko I, and Shapenko Y. "USE OF METHODS OF SYSTEM ANALYSIS IN THE STUDY OF PROBLEMS OF INTELLECTUAL TRANSPORT SYSTEMS." National Transport University Bulletin 1, no. 51 (2022): 134–40. http://dx.doi.org/10.33744/2308-6645-2022-1-51-134-140.

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This article discusses the use of systems analysis to study the problems of intelligent transport systems. The main problems of transport systems are identified and the main functions of intelligent transport systems are given. The object of research is intelligent transport systems. The purpose of the study – to analyze the feasibility of using methods of systems analysis in the study of problems of intelligent transport systems. The main advantage of intelligent transport systems is the simulation of various events and forecasting of dangerous situations. These systems are an important component of a systematic approach to improving the efficiency of the country's transport system. The lack of research in the field of ITS, implemented using methods and tools of systems analysis, indicates the relevance of this study. It is established that intelligent transport systems are an important component of an integrated approach to improving the efficiency of the transport system with a significant expansion of information infrastructure: collection, transmission, processing and storage of information about the transport system in real time and operational dispatch coordination. KEY WORDS: TRANSPORT, TRANSPORT PROBLEMS, SYSTEM ANALYSIS, SYSTEM APPROACH, TRANSPORT SYSTEMS, INTELLIGENT TRANSPORT SYSTEM.

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Sathiyaraj, Rajendran, and Ayyasamy Bharathi. "AN EFFICIENT INTELLIGENT TRAFFIC LIGHT CONTROL AND DEVIATION SYSTEM FOR TRAFFIC CONGESTION AVOIDANCE USING MULTI-AGENT SYSTEM." Transport 35, no. 3 (September 26, 2019): 327–35. http://dx.doi.org/10.3846/transport.2019.11115.

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An efficient and intelligent road traffic management system is the corner stone for every smart cities. Vehicular Ad-hoc NETworks (VANETs) applies the principles of mobile ad hoc networks in a wireless network for Vehicle-to-vehicle data exchange communication. VANETs supports in providing an efficient Intelligent Transportation System (ITS) for smart cities. Road traffic congestion is a most common problem faced by many of the metropolitan cities all over the world. Traffic on the road networks are widely increasing at a larger rate and the current traffic management systems is unable to tackle this impediment. In this paper, we propose an Efficient Intelligent Traffic Light Control and Deviation (EITLCD) system, which is based on multi-agent system. This proposed system overcomes the difficulties of the existing traffic management systems and avoids the traffic congestion problem compare to the prior scenario. The proposed system is composed of two systems: Traffic Light Controller (TLC) system and Traffic Light Deviation (TLD) system. The TLC system uses three agents to supervise and control the traffic parameters. TLD system deviate the vehicles before entering into congested road. Traffic and travel related information from several sensors are collected through a VANET environment to be processed by the proposed technique. The proposed structure comprises of TLC system and makes use of vehicle measurement, which is feed as input to the TLD system in a wireless network. For route pattern identification, any traditional city map can be converted to planar graph using Euler’s path approach. The proposed system is validated using Nagel–Schreckenberg model and the performance of the proposed system is proved to be better than the existing systems in terms of its time, cost, expense, maintenance and performance.

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Liu, Sha, Xiang Li, and Chuanni He. "STUDY ON DYNAMIC INFLUENCE OF PASSENGER FLOW ON INTELLIGENT BUS TRAVEL SERVICE MODEL." Transport 36, no. 1 (February 26, 2021): 25–37. http://dx.doi.org/10.3846/transport.2021.14343.

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To improve the service quality and convenience of bus travel services, this paper proposes the Intelligent Bus Travel Service Model (IBTSM). The IBTSM makes it possible to provide a travel strategy considering every aspect of bus travel, specifically, delay in the peak period arising from limited carrying-capacities of buses. A three-step approach was executed toward implementing the IBTSM. First, the bus travel-time was predicted using Long Short-Term Memory (LSTM). Next, the crowding level in the bus was evaluated using a fuzzy expert system, based on which a reasonable start-off time was planned, and the delay caused by large passenger flow was circumvented. The k-Nearest Neighbours (k-NN) algorithm was used to provide input data of passenger flow. In this study, the correlation between passenger flow variation and bus services was investigated to extend the provisions of the travel strategy to include start-off time scheduling and target bus selection, rather than only bus running-time estimation. The proposed model was evaluated using a bus in China as a case study, and its reliability and positive impact on promoting both the quality of bus services and development of intelligent travel were demonstrated.

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Török, Árpád, and Gábor Pauer. "Road safety ranking of intelligent transport systems." Statisztikai Szemle 94, no. 4 (2016): 418–34. http://dx.doi.org/10.20311/stat2016.04.hu0418.

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Poltavskaya, Yuliya. "APPLICATION INTELLIGENT TRANSPORT SYSTEMS IN OPERATION OF PUBLIC TRANSPORT." Modern Technologies and Scientific and Technological Progress 2022, no. 1 (May 16, 2022): 197–98. http://dx.doi.org/10.36629/2686-9896-2022-1-197-198.

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Albekova, Z. M. "Development of the intelligent transport system "Commercial Transport Management"." News of the Kabardin-Balkar Scientific Center of RAS 2, no. 112 (2023): 9–17. http://dx.doi.org/10.35330/1991-6639-2023-2-112-9-17.

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37

Lytras, Miltiadis D., Kwok Tai Chui, and Ryan Wen Liu. "Moving Towards Intelligent Transportation via Artificial Intelligence and Internet-of-Things." Sensors 20, no. 23 (December 4, 2020): 6945. http://dx.doi.org/10.3390/s20236945.

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Misanova, I. N. "POINTS OF SUPPORT FOR INTELLIGENT SYSTEMS." World of Transport and Transportation 14, no. 2 (April 28, 2016): 112–17. http://dx.doi.org/10.30932/1992-3252-2016-14-2-12.

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[For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version)].ABSTRACT Theoretically justified, but remaining less demanded, innovative mechanisms seek and find reasons to assert themselves. The article gives a special place to the problems of development of Russian intelligent transport systems, especially those that allow to create new high-tech products. This topic has gained priority in the light of importance of restructuring public sector of economy, of the need to update legislation to accelerate the development of intelligence-bearing means of organization and maintenance of transportation process. Keywords: railway, legislation, economics, intelligent transport system, financial mechanisms, interaction of government and business, government guarantees, venture projects.

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Drop, Natalia, and Daria Garlińska. "Evaluation of Intelligent Transport Systems Used in Urban Agglomerations and Intercity Roads by Professional Truck Drivers." Sustainability 13, no. 5 (March 8, 2021): 2935. http://dx.doi.org/10.3390/su13052935.

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Using intelligent transport systems in cities is gaining popularity. The fundamental aim of their existence is to improve safety and traffic flow and prevent congestion in city centres. All people moving around the city, such as public transport passengers, as well as truck and emergency vehicle drivers and drivers of passenger vehicles, are users of intelligent transport systems. Research which was carried out for the article entirely concerns functioning and utility of intelligent transport systems from truck drivers’ experience. The main aim of the research was to evaluate services and tools within intelligent transport systems in European cities which are visited by Polish truck drivers. Our research indicates that most drivers (almost 98%) stated that they find intelligent transport systems useful and 92.5% of interviewed pointed that intelligent transport systems help with their everyday work duties. Of all the tools in the survey drivers agreed that variable content signs, accommodative traffic lights, and extra road illumination have most influence in road safety. Identifying the most useful and helpful tools of intelligent transport systems will allow to define their preferred development directions from truck drivers’ point of view.

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Baranov, Leonid, Nina Ivanova, and Igor' Mihalevich. "Fuzzy system for assessing the information security risk of intelligent water transport systems." Transport automation research 10, no. 1 (March 17, 2024): 7–17. http://dx.doi.org/10.20295/2412-9186-2024-10-01-7-17.

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The intellectualization of water transport is accompanied by an expansion of the landscape of threats to transport security, caused by the characteristics and weaknesses of the technologies being introduced, which are the convergence of information and telecommunication technologies, automated and automatic control technologies and artificial intelligence. The peculiarity of these technologies is working with large volumes of information. Violation of the security of information processed in intelligent systems of water transport (illegal access, modification, deletion and similar unauthorized influence) causes a violation of transport security and, as a consequence, the security of critical information infrastructure and the country’s critical infrastructure, national security. Convergent technologies used in intelligent transport systems are characterized by multiple and poorly formalized manifestations of the consequences of threats. The article presents a model for assessing the risks of information security of intelligent water transport systems, based on the methods of the theory of fuzzy sets and fuzzy logic, the use of which makes it possible to take into account the above-mentioned features of the technologies being implemented. The hierarchical structure of the model and the use of fuzzy set theory and fuzzy logic methods make it possible to adapt the model to various risk criteria, types of input data and the level of detail of risk analysis. For the presented model, a methodology for assessing information security risks has been developed and an example of risk calculation is given. The developed model and methodology are intended to build an information security risk management system for autonomous shipping, implementing technologies of hybrid (augmented, extended) intelligence, providing for the use of artificial intelligence controlled by people.

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Gorev, Andrey, Ol'ga Popova, Dmitriy Plotnikov, and Elena Oleschenko. "Efficiency of automated vehicle control in tram systems." Transport automation research 10, no. 1 (March 17, 2024): 32–51. http://dx.doi.org/10.20295/2412-9186-2024-10-01-32-51.

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Abstract:

The intellectualization of water transport is accompanied by an expansion of the landscape of threats to transport security, caused by the characteristics and weaknesses of the technologies being introduced, which are the convergence of information and telecommunication technologies, automated and automatic control technologies and artificial intelligence. The peculiarity of these technologies is working with large volumes of information. Violation of the security of information processed in intelligent systems of water transport (illegal access, modification, deletion and similar unauthorized influence) causes a violation of transport security and, as a consequence, the security of critical information infrastructure and the country’s critical infrastructure, national security. Convergent technologies used in intelligent transport systems are characterized by multiple and poorly formalized manifestations of the consequences of threats. The article presents a model for assessing the risks of information security of intelligent water transport systems, based on the methods of the theory of fuzzy sets and fuzzy logic, the use of which makes it possible to take into account the above-mentioned features of the technologies being implemented. The hierarchical structure of the model and the use of fuzzy set theory and fuzzy logic methods make it possible to adapt the model to various risk criteria, types of input data and the level of detail of risk analysis. For the presented model, a methodology for assessing information security risks has been developed and an example of risk calculation is given. The developed model and methodology are intended to build an information security risk management system for autonomous shipping, implementing technologies of hybrid (augmented, extended) intelligence, providing for the use of artificial intelligence controlled by people.

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Bao, Xiaodong. "Analysis on Current Situation and Present Development of Intelligent Transport System Traffic." Urban Transportation & Construction 1, no. 1 (June 28, 2014): 14. http://dx.doi.org/10.18686/utc.v1i1.4.

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This article introduces the constitution of intelligent transport system and the development of intelligent transport system in home and abroad. At the same time it analyzes the current situation development and suggestion of intelligent transport system in national.

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Sevinc Majidova, Zumrud Murtazaliyeva, Sevinc Majidova, Zumrud Murtazaliyeva. "INTELLIGENT CONTROL SYSTEM FOR SAFE TRAFFIC OF VEHICLES AND OTHER MOVING OBJECTS." PIRETC-Proceeding of The International Research Education & Training Centre 23, no. 02 (April 19, 2023): 80–86. http://dx.doi.org/10.36962/piretc23022023-80.

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Intellectualization of production and processes is one of the applications of information technology and it is always of interest to develop and apply new methods. The creation and use of an intelligent transport system is considered one of the most important tasks in the field of automation. The article review is devoted to the development and operation of an intelligent control system for the safe movement of vehicles and other moving objects. The basic principles of ensuring road safety are given, the works, standards for the creation and development of transport systems are investigated, the architecture of an intelligent transport system is determined. A simplified top-level logical architecture of an intelligent transport system is presented, which includes task groups, as well as links between them and with external objects. And the physical model includes the functions of the logical architecture, classes, subsystems of processes and placement of places for the implementation of these functions. Classes include: passengers, centers, vehicles, equipment, and telecommunications facilities. The subsystems of the intelligent transport system and the tasks they cover are listed. An intelligent transport system as an integrator of modes of transport can improve the efficiency and safety of transport systems. Keywords: Intelligent transport system, security, architecture, standardization, simplified, information, new method.

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Kovrei, Valentina, and Lyudmila Dubeshko. "Smart transport system in Minsk." Science and Innovations 6 (June 2021): 49–53. http://dx.doi.org/10.29235/1818-9857-2021-6-49-53.

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The article deals with the issues of innovative development of passenger transport through the introduction of IT technologies; intelligent transport systems in major cities of the world; the functions of the state in the creation and operation of intelligent transport systems. The article analyzes the legal framework of the Republic of Belarus, the state of information technologies in transport, and the need for their integration. A number of practical steps aimed at creating an intelligent transport system in Minsk are proposed.

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CHECHENOVA, Liana M. "Sustainable development of the transport industry based on artificial intelligence systems." BULLETIN OF SCIENTIFIC RESEARCH RESULTS 2021, no. 4 (December 2021): 125–38. http://dx.doi.org/10.20295/2223-9987-2021-4-125-138.

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Objective: Modification of trends in the development of railway transport with the introduction of artificial intelligence technologies that are optimal for predictive assessment of the activities of a transport organization. Methods: The key logical methods of cognition – analysis and synthesis – are used. Results: The scientific background related to the digitalization of the transport industry has been studied with the help of fundamental research, data from the Federal State Statistics Service, and the SPARK information resource. The necessity of introducing intelligent technologies to optimize transportation time and reduce costs has been determined. The main directions of application of intelligent technologies in railway transport are systematized, taking into account the strategic target direction of the industry. Practical importance: The main findings can be used in forecasting business processes using various digital technologies and tools

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Truong, Thanh Trung. "Intelligent CRM systems of transport companies." Revista Amazonia Investiga 9, no. 26 (February 21, 2020): 409–14. http://dx.doi.org/10.34069/ai/2020.26.02.47.

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High technological efficiency and the use of intelligent systems are the main internal factors in the evolution of the transport company. Transportation companies are introducing digital infrastructure, trying to achieve practical results by focusing on customer demand, such as actively using Customer Relationship Management and holding on to the customer, increasing their loyalty. But there are problems in activating such systems because of their heterogeneity and non-systemic approach to their use. A system analysis is needed, which is the main purpose of this article. This problem is discussed in this article for highly competitive transport (logistics) business. The capabilities and impact of the transport company 's customer relationship management systems in the cloud are analyzed. The method of organization and regulation of business processes oriented to relations with clients, creation and development of cloud business infrastructure is proposed. The evolutionary cycle of the transport system in cloud infrastructure is described. A comprehensive multiplicative transportation efficiency model similar to the Allen model has been built and described how to use it to evaluate system self-regulation. The results of the work can become a methodological basis for solving practical problems of business processes of transport systems and their transfer to cloud infrastructure.

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Zečević, Lazar, and Drazenko Glavic. "Intelligent transport systems in road tunnels." Put i saobraćaj 65, no. 1 (April 13, 2019): 37–42. http://dx.doi.org/10.31075/pis.65.01.06.

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Moos, P., M. Svítek, and Z. Votruba. "Information Power in Intelligent Transport Systems." Transactions on Transport Sciences 1, no. 4 (December 1, 2008): 193–202. http://dx.doi.org/10.5507/tots.2008.025.

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Popova, Irina M., Sergey V. Timofeev, and Igor K. Danilov. "Application of intelligent systems in transport." RUDN Journal of Engineering Researches 20, no. 3 (December 15, 2019): 236–43. http://dx.doi.org/10.22363/2312-8143-2019-20-3-236-243.

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The article discusses the application of intelligent transport systems for railway transport. The purpose of developing intelligent transport systems on railway transport is to strictly comply with the requirements for ensuring transport safety, reducing the level of environmental impact, significantly improving the efficiency of production activities. The software makes automatic accounting, control and analysis of fuel and energy resources consumption on the basis of the obtained data. At the same time, the dynamics of changes in fuel consumption indicators, actual and estimated costs of diesel fuel are visually reflected in real time on the monitor screen. If necessary, the system will help to identify the reasons for non-matching of these parameters and quickly contact the locomotive team to provide qualified assistance in their elimination. It is important that the hardware structure and the structure of the system software expand functionality, providing continuous operation and repair work, increasing the number of measured parameters, creating a closed fuel consumption control system in a locomotive economy. The use of these systems makes it possible to obtain an integrated assessment of the heat engineering condition of a locomotive with further scientifically substantiated correction of overhaul runs, to control its location and solve many other problems, which contributes to an increase in overhaul runs and the operational life of the locomotive.

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Falkhofen, Benedikt. "Cooperative Intelligent Transport Systems (C‑ITS)." Computer Law Review International 20, no. 3 (June 1, 2019): 65–70. http://dx.doi.org/10.9785/cri-2019-200302.

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