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Journal articles on the topic 'Intelligent Transport Systems (ITS)'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 April 2022

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1

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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2

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.

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3

Bell, M. C. "Environmental factors in intelligent transport systems." IEE Proceedings - Intelligent Transport Systems 153, no. 2 (2006): 113. http://dx.doi.org/10.1049/ip-its:20060017.

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4

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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5

Andersen, Johann, and Steve Sutcliffe. "Intelligent Transport Systems (ITS) - An Overview." IFAC Proceedings Volumes 33, no. 18 (July 2000): 99–106. http://dx.doi.org/10.1016/s1474-6670(17)37129-x.

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6

Hara, K. "ITS for rent [intelligent transport systems]." IEEE Intelligent Systems 15, no. 5 (September 2000): 84–85. http://dx.doi.org/10.1109/5254.889111.

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7

Horberry, T., M. A. Regan, and S. R. Toukhsati. "Airport ramp safety and intelligent transport systems." IET Intelligent Transport Systems 1, no. 4 (2007): 234. http://dx.doi.org/10.1049/iet-its:20070011.

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8

Rudin-Brown, C. M. "‘Intelligent’ in-vehicle intelligent transport systems: limiting behavioural adaptation through adaptive design." IET Intelligent Transport Systems 4, no. 4 (2010): 252. http://dx.doi.org/10.1049/iet-its.2009.0151.

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9

Dushkin, Roman. "Multi-agent systems for cooperative ITS." Тренды и управление, no. 1 (January 2021): 42–50. http://dx.doi.org/10.7256/2454-0730.2021.1.34169.

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This article presents an original perspective upon the problem of creating intelligent transport systems in the conditions of using highly automated vehicles that freely move on the urban street-road networks. The author explores the issues of organizing a multi-agent system from such vehicles for solving the higher level tasks rather than by an individual agent (in this case – by a vehicle). Attention is also given to different types of interaction between the vehicles or vehicles and other agents. The examples of new tasks, in which the arrangement of such interaction would play a crucial role, are described. The scientific novelty is based on the application of particular methods and technologies of the multi-agent systems theory from the field of artificial intelligence to the creation of intelligent transport systems and organizing free-flow movement of highly automated vehicles. It is demonstrated the multi-agent systems are able to solve more complex tasks than separate agents or a group of non-interacting agents. This allows obtaining the emergent effects of the so-called swarm intelligence of the multiple interacting agents. This article may be valuable to everyone interested in the future of the transport sector.

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10

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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11

Fukui, Ryotaro. "Intelligent Transport Systems. Communication Technology for ITS." Journal of the Robotics Society of Japan 17, no. 3 (1999): 334–38. http://dx.doi.org/10.7210/jrsj.17.334.

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Stevens, A. "Editorial: Intelligent Transport Systems, Services, Solutions, Society[ellipsis (horizontal)]." IET Intelligent Transport Systems 1, no. 1 (2007): 1. http://dx.doi.org/10.1049/iet-its:20079002.

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13

Wang, Tong, Xiaodan Wang, Ziping Cui, Yue Cao, and Chakkaphong Suthaputchakun. "Survey on cooperatively V2X downloading for intelligent transport systems." IET Intelligent Transport Systems 13, no. 1 (January 1, 2019): 13–21. http://dx.doi.org/10.1049/iet-its.2018.5104.

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14

Kalloniatis, Christos, Dimitris Kavroudakis, Amalia Polidoropoulou, and Stefanos Gritzalis. "Designing Privacy-Aware Intelligent Transport Systems." International Journal of Applied Geospatial Research 10, no. 1 (January 2019): 73–91. http://dx.doi.org/10.4018/ijagr.2019010104.

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Intelligent transport systems (ITSs) play a key role in people's daily activities. ITSs significantly improve mobility offering a variety of services to a vast number of users that increase on a daily basis, as more and new services are introduced. These services are based on advanced information and communication technologies (ICTs) and rely strongly on connectivity and computing resources. However, technical vulnerabilities of the technologies used in ITS, as well as the increase in users' awareness has brought security and privacy concerns to the forefront. This article aims at identifying a set of privacy concepts that provide the bases for designing trustworthy ITS services identifying possible threats and users' privacy concerns. A key contribution of the article is a roadmap that presents in detail how for every ITS function corresponding to privacy concepts can be realized for overcoming specific threats and users' privacy concerns in a smart city context.

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15

Katerna, Olga. "Research of market development of intelligent transport systems in the world." Economics of Development 17, no. 3 (November 28, 2018): 17–29. http://dx.doi.org/10.21511/ed.17(3).2018.02.

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The issues of the development of intelligent transport systems (ITS) in the world as an instrument for ensuring social and economic growth of the state have been investigated. The essence and role of the structure of management of intellectual systems in different countries has been described and common features of their implementation have been determined. To solve the research problems, the following methods have been applied: systematic, dialectic, synthesis and generalization and scientific abstraction. To achieve the goal in the research methods have been applied on the systems approach, management theory and decision theory. System analysis has been used to identify the scientific problem. The results of the investigation have allowed the author to determine that there are problems with increasing traffic in large cities, high accident rates, high traffic growth, poor quality of traffic management, transport services, and how ITS helps to solve these problems. The results of the analysis have proved that mechanisms of ITS implementation in different countries is differ, but the key elements can be watch common: public private partnership; presence in the developed countries of the world of priority programs for the development of ITS; mandatory formation of uniform unified standards; the creation of a state coordinating body whose main function is to protect and promote the interests of the country and beyond its borders; the creation of independent groups or organizations (the majority on the basis of scientific institutions) such as “ITS America”, “ERTICO” in Europe, “ITS Japan”; industrial base in the field of development as a technical and information component, as well as cooperation in developing or participating in the field of geoinformation support. It is important to conduct an analysis of the ITS market volume in the world in 2008 – 2017 years in mln. dol. USA and a detailed analysis of the geography distribution in 2017. The implementation of the ITS begins with institutional changes, so giving them the status of a national project and developing the appropriate state program for the creation of multi-year development plans that have the goal of developing science and technology in the country can form the basis for a recommendation when implementing ITS in Ukraine.

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Šimunović, Ljupko, Ivan Bošnjak, and Sadko Mandžuka. "Intelligent Transport Systems and Pedestrian Traffic." PROMET - Traffic&Transportation 21, no. 2 (March 2, 2012): 141–52. http://dx.doi.org/10.7307/ptt.v21i2.220.

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The paper gives an overview of the past development and implementation of Intelligent Transport Systems in pedestrian traffic. Starting from recent development projects and methodological approaches to the development of ITS, an overview of the existing technologies of implementing ITS in pedestrian traffic is given, and some solutions are proposed that would be feasible in the Republic of Croatia, as well as in other transition countries. As the most significant functions of integrated systems within ITS, the possibilities are presented of locating pedestrians in the network, pedestrian guidance (especially the blind and low-vision persons as well as persons in wheelchairs), provision of on-trip information, etc. Special focus is on the area of pedestrian protection in traffic (avoidance of accidents) using devices fitted onboard vehicles and embedded in road infrastructure. The significance of timely integration of the pedestrian traffic in designing the future ITS architecture has been indicated. KEY WORDS: intelligent transport systems (ITS), pedestrian traffic, pedestrian guidance, real-time information, traffic safety

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17

SOMA, Hitoshi. "Human Centered Design in Intelligent Transport Systems." Proceedings of the Transportation and Logistics Conference 2003.12 (2003): 19–22. http://dx.doi.org/10.1299/jsmetld.2003.12.19.

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Ostrowska, Martyna. "Intelligent transport systems vs. drivers’ safety." Occupational Safety – Science and Practice 559, no. 4 (April 18, 2018): 21–23. http://dx.doi.org/10.5604/01.3001.0011.7572.

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Contemporary transport systems do not meet either the expectations or the needs of their users. Hence the search for new, innovative traffic management methods, which would improve traffic safety. This article discusses the definition and impact on the safety of drivers, including professional ones, of a promising idea, namely, intelligent transport systems (ITS).

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Stepanov, О., and А. Venger. "INTELLIGENT TRANSPORTATION SYSTEMS IN THE TRANSPORT PROCESS." Municipal economy of cities 1, no. 161 (March 26, 2021): 212–17. http://dx.doi.org/10.33042/2522-1809-2021-1-161-212-217.

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The article is devoted to the consideration of the concept of "Intelligent transportation system" – ITS in modern society. The main world concepts of ITS development, which are aimed at the organization of road traffic in order to comply with road safety, are analyzed. The authors concluded that ITS is the most effective way to qualitatively solve road safety problems.

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Jelušić, Niko, Mario Anžek, and Božidar Ivanković. "Information Source Quality in Intelligent Transport Systems." PROMET - Traffic&Transportation 22, no. 2 (January 27, 2012): 125–31. http://dx.doi.org/10.7307/ptt.v22i2.171.

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Advanced automatic traffic control systems and various other ITS (Intelligent Transport Systems) applications and services rely on real-time information from the traffic system. This paper presents the overview and general functions of different information sources which provide real-time information that are used or could be used in ITS. The objective is to formally define the quality of information sources suitable for ITS based on formal models of the traffic system and information sources. The definition of quality encompasses these essential factors: traffic system information that exists or may be requested, user requirements and attributes that describe the information sources. This provides the framework and guidelines for the evaluation of information sources that accounts for relevant factors that influence their selection for specific ITS applications. KEY WORDS: information source, information source quality, Intelligent Transport Systems (ITS), automatic traffic control

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21

KOBAYASHI, Shigeo. "Open ITS to the Next." Journal of Information Processing and Management 56, no. 6 (2013): 335–43. http://dx.doi.org/10.1241/johokanri.56.335.

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22

Jarašūnienė, Aldona. "RESEARCH INTO INTELLIGENT TRANSPORT SYSTEMS (ITS) TECHNOLOGIES AND EFFICIENCY." TRANSPORT 22, no. 2 (June 30, 2007): 61–67. http://dx.doi.org/10.3846/16484142.2007.9638100.

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Intelligent Transport Systems work with information and control technologies which provide the core of ITS functions. Some of these technologies, like loop detectors, are well known to transportation professionals. However, there are a number of less familiar technologies and system concepts that are the key to ITS functions. The technical core of ITS is information and control technologies, but human factors are also vitally important, and potentially very complex. This paper introduces the main ITS enabling technologies and explains why transport professionals should involve human factor experts at an early stage of design of ITS equipment and facilities.

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23

Siergiejczyk, Mirosław, Adam Rosiński, and Jerzy Chmiel. "Reliability and exploitation analysis of ITS power systems including RES." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, no. 12 (December 31, 2018): 646–49. http://dx.doi.org/10.24136/atest.2018.470.

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The problem of reliability and exploitation analysis of power systems used in intelligent transport systems (ITS) is extremely important from the point of view of ensuring the traffic safety. The use of advanced electronic devices in ITS systems requires their power supply from properly designed power systems. To ensure the continuity of operation of electronic devices, the basic and backup power supply are most often used. They should have specific values of reliability and performance indicators. Therefore, a reliability and exploitation model of the power system has been developed, taking into account renewable energy sources (RES), such as used in intelligent transport systems. This allowed to obtain dependencies enqabling to determine the probability of staying of the power system used in the intelligent transport system in the specified reliability and exploitation states.

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24

Пышный, V. Pyshnyy, Моргачев, S. Morgachev, Коржанков, V. Korzhankov, Минкин, and I. Minkin. "IMPLEMENTATION OF INTELLIGENT TRANSPORT SYSTEMS (ITS) IN THE RUSSIAN FEDERATION." Alternative energy sources in the transport-technological complex: problems and prospects of rational use of 3, no. 1 (March 16, 2016): 269–72. http://dx.doi.org/10.12737/17924.

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The article presents some of the most urgent problems of the country´s transport infrastructure, and one of the ways to solve them, the main advantages of the introduction of intelligent transport systems in the Russian Federation in relation to road transport, also presented the priority goals and objectives of the ITS and their impact on the needs of society and the economy.

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25

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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Kolosz, Ben, and Susan Grant-Muller. "Sustainability assessment approaches for intelligent transport systems: the state of the art." IET Intelligent Transport Systems 10, no. 5 (June 1, 2016): 287–97. http://dx.doi.org/10.1049/iet-its.2015.0025.

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27

Arafat, Md Yeasir, Anis Salwa Mohd Khairuddin, Uswah Khairuddin, and Raveendran Paramesran. "Systematic review on vehicular licence plate recognition framework in intelligent transport systems." IET Intelligent Transport Systems 13, no. 5 (May 1, 2019): 745–55. http://dx.doi.org/10.1049/iet-its.2018.5151.

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28

El-Mowafy, Ahmed. "Fault detection and integrity monitoring of GNSS positioning in intelligent transport systems." IET Intelligent Transport Systems 14, no. 3 (March 1, 2020): 164–71. http://dx.doi.org/10.1049/iet-its.2019.0248.

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29

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.

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Neverauskienė, Laima Okunevičiūtė, Marta Novikova, and Eglė Kazlauskienė. "FACTORS DETERMINING THE DEVELOPMENT OF INTELLIGENT TRANSPORT SYSTEMS." Journal Business, Management and Economics Engineering 19, no. 02 (August 25, 2021): 229–43. http://dx.doi.org/10.3846/bmee.2021.15368.

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Purpose – foreign and Lithuanian researchers analyse the benefits of ITS (Intelligent transport systems) application and development opportunities in various aspects. Due to the rapid development of technology, most authors emphasise the need for new or at least repeated research on intelligent transport systems ITS. The aim of this article is to evaluate the factors determining the development of ITS after theoretical substantiation. Research methodology – the primary data was collected from the following databases: Eurostat, OECD, World Bank. This study uses the analysis of scientific literature, expert survey, multicriteria assessment (SAW and COPRAS methods). Findings – the results of this article indicate which factors determine the development of ITS the most: investments, the aim to increase road safety, well-developed infrastructure. It also identifies which of the chosen for analaysis countries has the greatest potential for developing of ITS – Germany. Research limitations – firstly, due to the lack of statistics only eight countries are included and the period of analysis is only two years. Another limitation is that experts from only two countries completed the survey. Practical implications – research on the development of ITS is carried out in order to analyse the country that has the biggest opportunity to develop ITS and the factors affecting the mentioned development. The results can be beneficial for ministries of transport in different countries for planning the application of ITS. Originality/Value – current study contributes to the existing literature by examining the specific factors affecting the development of ITS that were not analysed earlier. This article differs from others as includes some Northern ,Western European and Baltic countries. Findings can be used by government in planning the installation of ITS to get the maximum benefit from it.

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Mishra, Ankur, and Aayushi Priya. "A Comprehensive Study on Intelligent Transportation Systems." SMART MOVES JOURNAL IJOSCIENCE 4, no. 10 (October 13, 2018): 10. http://dx.doi.org/10.24113/ijoscience.v4i10.167.

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Transportation or transport sector is a legal source to take or carry things from one place to another. With the passage of time, transportation faces many issues like high accidents rate, traffic congestion, traffic & carbon emissions air pollution, etc. In some cases, transportation sector faced alleviating the brutality of crash related injuries in accident. Due to such complexity, researchers integrate virtual technologies with transportation which known as Intelligent Transport System. Intelligent Transport Systems (ITS) provide transport solutions by utilizing state-of-the-art information and telecommunications technologies. It is an integrated system of people, roads and vehicles, designed to significantly contribute to improve road safety, efficiency and comfort, as well as environmental conservation through realization of smoother traffic by relieving traffic congestion. This paper aims to elucidate various aspects of ITS - it's need, the various user applications, technologies utilized and concludes by emphasizing the case study of IBM ITS.

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Yu, Hui Jun, Zhi Gang Wang, Xiao Yan Liu, and Dong Hu. "A Big Data Application in Intelligent Transport Systems." Applied Mechanics and Materials 734 (February 2015): 365–68. http://dx.doi.org/10.4028/www.scientific.net/amm.734.365.

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Intelligent Transport Systems (ITS) theory is developed nearly a dozen years which is focused on building integrated transportation system, its success will inevitably have a fundamental change in the way the current traffic works. ITS is a large complex system, with integrated multidisciplinary knowledge to implement. The paper explores a new way of integrating big data insights with automated and assisted processes related to ITS. We show how innovation from China Si Chuan Province Traffic Management Bureau under our big data implementation to improve their business performance. With the new big data algorithm, we could predict drivers' behavior, and ultimately understand which factors are influencing the most. The architecture and implementation is thoroughly introduced in the paper, and we point out the future extension in the end.

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Aoki, Masayoshi. "Intelligent Transport Systems. Image Measurement and Image Processing in ITS." Journal of the Robotics Society of Japan 17, no. 3 (1999): 321–27. http://dx.doi.org/10.7210/jrsj.17.321.

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Tsekeris, Theodore, Charalambos Tsekeris, Konstantinos Koskinas, and Michael Lavdas. "Intelligent transport systems and regional digital convergence in Greece." Journal of Transport Literature 7, no. 2 (April 2013): 297–318. http://dx.doi.org/10.1590/s2238-10312013000200016.

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This paper investigates the aspects of regional digital convergence, i.e. the capability of the use of Information and Communication Technologies (ICTs) among all people living in the peripheral areas of a country, in relation to the ICT applications into the transport sector, known as Intelligent Transport Systems (ITS). It also examines the interdependent relationships between the digital and physical accessibility. Firstly, the ICT infrastructures and their access via the households and enterprises set the conditions for the use of ITS. On the other hand, the expansion of transport networks and decentralization of transport flows can contribute to the widespread adoption of ITS and ICTs in general, and the higher specialization and diversification of digital services. These interactions are analyzed in Greece, through investigating the spatial allocation of public expenditure, at a regional level, for the Information Society and the transport sector, during 2000-2009. The findings indicate that the increased concentration of public investments in road projects in peripheral areas does not imply the bridging of the digital gap between the metropolitan areas (Athens and Thessaloniki) and the rest of Greece. The need for designing a comprehensive regional investment policy is suggested to jointly reinforce the digital convergence and physical accessibility.

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NOVIKOV, A. N., S. V. EREMIN, A. V. KULEV, and D. O. LOMAKIN. "PROBLEMS OF IMPLEMENTING INTELLIGENT TRANSPORTATION SYSTEMS IN REGIONS." World of transport and technological machines 72, no. 1 (2021): 47–54. http://dx.doi.org/10.33979/2073-7432-2021-72-1-47-54.

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The development of intelligent transport systems (ITS) is one of the most important areas in improving transport infrastructure in the Russian Federation, as this allows: to optimize the distri-bution of vehicle flows along the road network; improve road capacity through better traffic man-agement; increase the level of road safety and reduce the likelihood of accidents; improve envi-ronmental safety; Organize effective traffic management options for road accidents, as well as or-ganize activities that facilitate traffic management; Rationalize options for granting priority to different modes of transport. The creation of ITS is based on a system approach, designing ITS based on the integration of various systems. ITS design principles include modernization and reengineering of existing transport systems. However, the development of these systems has a num-ber of common problems for most regions, without which it is impossible to create an effectively functioning ITS.

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Stevens, A., and S. Shladover. "Editorial: Selected papers from the 15th World Congress on Intelligent Transport Systems (ITS)." IET Intelligent Transport Systems 4, no. 1 (2010): 1. http://dx.doi.org/10.1049/iet-its.2010.9001.

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Vaa, T., M. Penttinen, and I. Spyropoulou. "Intelligent transport systems and effects on road traffic accidents: state of the art." IET Intelligent Transport Systems 1, no. 2 (2007): 81. http://dx.doi.org/10.1049/iet-its:20060081.

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Baublys, Adolfas, and Aldona Jarašūnienė. "STATISTICAL PROBABILITY EVALUATION OF OPERATING ITS." TRANSPORT 25, no. 2 (June 30, 2010): 163–70. http://dx.doi.org/10.3846/transport.2010.20.

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Intelligent Transport Systems (ITS) work with information and control technologies providing the core of ITS functions. Some of these technologies like loop detectors are well known to transportation professionals. However, there are a number of less familiar technologies and system concepts that are keys to ITS functions. Although information and control technologies act as a technical core of ITS, human factors also remain vitally important and potentially very complex issues. The process of operating ITS is influenced by a number of random factors. Along with an assessment of dependence upon separate random factors, the classification of those in the whole hierarchical structure of operating ITS is presented. Statistical information on operating ITS is renewed and replenished in the course of time. With the growth of information amounts, the costs of storing them also increase. Therefore, the article presents relevant algorithms for obtaining required statistical assessments with the least statistical information. It is deduced that while modelling the process of operating ITS, an analytical description of random factors applying non‐parametric assessment is suitable.

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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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Siergiejczyk, Mirosław, and Adam Rosiński. "Indicators and criteria for assessing ITS services in the context of road traffic safety." MATEC Web of Conferences 231 (2018): 02010. http://dx.doi.org/10.1051/matecconf/201823102010.

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Transport telematics systems integrate information technology with telecommunications for the purposes of transport systems. This helps to improve the safety of vehicles and facilities involved in transport tasks. At the same time, the efficiency of using transport infrastructure and means of transport increases. The development and use of specialised IT applications that use data from transport telematics systems helped to create Intelligent Transport Systems (ITS). Currently, in Poland (in Europe and in the world), more and more advanced services offered by Intelligent Transport Systems are being developed and implemented. It is particularly relevant in road transport, especially because Poland’s road safety is insufficient compared to other European countries. The article presents the authors’ proposed indicators and criteria that can be used for assessing ITS services in the context of road safety. The authors conducted analyses to study the application of AHP (Analytic Hierarchy Process), if ITS services were to be used to improve road safety. Then, it will be possible to choose one solution from all the assessed ones.

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Obaid, Mohammed, and Zsolt Szalay. "A Novel Model Representation Framework for Cooperative Intelligent Transport Systems." Periodica Polytechnica Transportation Engineering 48, no. 1 (May 21, 2019): 39–44. http://dx.doi.org/10.3311/pptr.13759.

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Cooperative Intelligent Transport Systems is C-ITS a set of ITS technologies that can provide services supported by the permanent, real time, information circulation among the components of the system. The paper aims to give an overview related to the modelling and evaluation possibilities of cooperative intelligent transportation system and to clarify the definition of the C-ITS and its differences from the regular ITS solutions. The paper introduce a proposed architecture of C-ITS modelling framework by describing C-ITS components, transferred data and its applications.

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42

Stevens, A. "Editorial: Selected papers from the 13th World Congress on Intelligent Transport Systems and Services." IET Intelligent Transport Systems 1, no. 2 (2007): 57. http://dx.doi.org/10.1049/iet-its:20079014.

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Owojaiye, G., and Y. Sun. "Focal design issues affecting the deployment of wireless sensor networks for intelligent transport systems." IET Intelligent Transport Systems 6, no. 4 (December 1, 2012): 421–32. http://dx.doi.org/10.1049/iet-its.2011.0113.

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Psaraki, V., I. Pagoni, and A. Schafer. "Techno-economic assessment of the potential of intelligent transport systems to reduce CO2 emissions." IET Intelligent Transport Systems 6, no. 4 (December 1, 2012): 355–63. http://dx.doi.org/10.1049/iet-its.2012.0056.

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Tian, Yanling, Yubo Du, Qieshi Zhang, Jun Cheng, and Zhuo Yang. "Depth estimation for advancing intelligent transport systems based on self-improving pyramid stereo network." IET Intelligent Transport Systems 14, no. 5 (May 1, 2020): 338–45. http://dx.doi.org/10.1049/iet-its.2019.0462.

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Rosiński, Adam. "Evaluation Criteria for Technical and Teleinformatic Solutions in its Services." Journal of KONBiN 45, no. 1 (March 1, 2018): 365–83. http://dx.doi.org/10.2478/jok-2018-0019.

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Abstract Transport telematics systems integrate IT with telecommunications in applications for different transport systems. Through their implementation, the use of transport infrastructure and means of transport increases, while increasing the level of safety of vehicles and facilities performing transport tasks. The implementation of modern Intelligent Transport Systems in road transport necessitates their evaluation (including reliability and operation) and the rational selection for planned criteria. The article presents the author’s work on criteria and sub-criteria that will be used to evaluate technical and teleinformatic solutions for ITS services.

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Nowacki, Gabriel. "PROBLEMS OF COOPERATIVE INTELLIGENT TRANSPORT SYSTEMS (ITS) IMPLEMENTATION IN EUROPEAN UNION." Journal of KONES. Powertrain and Transport 19, no. 1 (January 1, 2015): 301–10. http://dx.doi.org/10.5604/12314005.1137443.

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Boccardo, Piero, Fabrizio Arneodo, and Danilo Botta. "Application of Geomatic techniques in Infomobility and Intelligent Transport Systems (ITS)." European Journal of Remote Sensing 47, no. 1 (January 2014): 95–115. http://dx.doi.org/10.5721/eujrs20144707.

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Abdulhai, Baher, and Lina Kattan. "Reinforcement learning: Introduction to theory and potential for transport applications." Canadian Journal of Civil Engineering 30, no. 6 (December 1, 2003): 981–91. http://dx.doi.org/10.1139/l03-014.

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The aim of this paper is to develop insight into the potential of reinforcement learning (RL) agents and distributed reinforcement learning agents in the domain of transportation and traffic engineering and specifically in Intelligent Transport Systems (ITS). This paper provides a crystallized, comprehensive overview of the concept of RL and presents related successful applications in the field of traffic control and transportation engineering. It is divided into two parts: the first part provides a thorough overview of RL and its related methods and the second part reviews most recent applications of RL algorithms to the field of transportation engineering. Finally, it identifies many open research subjects in transportation in which the use of RL seems to be promising.Key words: reinforcement learning, machine learning, traffic control, artificial intelligence, intelligent transportation systems.

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Kamiński, Tomasz. "Kooperacyjne Inteligentne Systemy Transportowe (C-ITS) jako rozwiązania podnoszące bezpieczeństwo i efektywność transportu drogowego." Gospodarka Materiałowa i Logistyka 2020, no. 6 (June 20, 2020): 10–18. http://dx.doi.org/10.33226/1231-2037.2020.6.2.

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