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1

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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2

Moisio, Luisa, and Stuart Hillmansen. "Intelligent Transport System – RRUKA Special Issue - Editorial." IET Intelligent Transport Systems 10, no. 1 (February 1, 2016): 1. http://dx.doi.org/10.1049/iet-its.2016.0005.

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3

Osaba, Eneko, Enrique Onieva, Asier Moreno, Pedro Lopez-Garcia, Asier Perallos, and Pablo G. Bringas. "Decentralised intelligent transport system with distributed intelligence based on classification techniques." IET Intelligent Transport Systems 10, no. 10 (December 1, 2016): 674–82. http://dx.doi.org/10.1049/iet-its.2016.0047.

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4

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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5

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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6

Mbiydzenyuy, Gideon. "Impact assessments of intelligent transport system performance in a freight transport corridor." IET Intelligent Transport Systems 12, no. 9 (November 1, 2018): 1071–81. http://dx.doi.org/10.1049/iet-its.2018.5307.

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7

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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8

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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Pagano, Paolo, Matteo Petracca, Daniele Alessandrelli, and Claudio Salvadori. "Is ICT mature for an EU-wide Intelligent Transport System?" IET Intelligent Transport Systems 7, no. 1 (March 1, 2013): 151–59. http://dx.doi.org/10.1049/iet-its.2011.0161.

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10

Garcia Zuazola, Ignacio Julio, Asier Moreno, Mohamed A. Ziai, Nekane Sainz, Ignacio Angulo, Hugo Landaluce, J. M. H. Elmirghani, John C. Batchelor, Unai Hernández-Jayo, and Asier Perallos. "Telematics system for the intelligent transport and distribution of medicines." IET Intelligent Transport Systems 7, no. 1 (March 1, 2013): 131–37. http://dx.doi.org/10.1049/iet-its.2012.0017.

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11

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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12

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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13

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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14

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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15

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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16

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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17

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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18

Di Lecce, V., and A. Amato. "Route planning and user interface for an advanced intelligent transport system." IET Intelligent Transport Systems 5, no. 3 (2011): 149. http://dx.doi.org/10.1049/iet-its.2009.0100.

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19

Korhonen, T., T. Väärämäki, V. Riihimäki, R. Salminen, and A. Karila. "Selecting telecommunications technologies for intelligent transport system services in Helsinki Municipality." IET Intelligent Transport Systems 6, no. 1 (2012): 18. http://dx.doi.org/10.1049/iet-its.2010.0090.

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20

Schulz, Wolfgang, and Isabella Geis. "Future role of cost–benefit analysis in intelligent transport system-research." IET Intelligent Transport Systems 9, no. 6 (August 1, 2015): 626–32. http://dx.doi.org/10.1049/iet-its.2014.0203.

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21

Dhage, Prajakta. "GPS and RFID Based Intelligent Bus Tracking System." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 2795–98. http://dx.doi.org/10.22214/ijraset.2021.35604.

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RFID is an innovation like that of scanner tag checking. A RFID framework comprises of labels, which utilize radio recurrence signs to communicate its area data to a pursuer, which generally sends this data to a worker that measures it as indicated by the requirements of the application. This paper presents a framework that can follow transports across a city by putting RFID labels in the transports and the pursuers in each elective bus station. The neighborhood worker for the city gets the area data, and cautions the impending bus stations during the transport, of the transport's number, course, and anticipated season of appearance, which are then shown at the stop. This framework accordingly depicts is a financially savvy and simple to carry out plot for following transports continuously.
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22

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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23

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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24

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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25

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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26

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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27

Giovanna, Chilà, Musolino Giuseppe, Russo Francesco, Polimeni Antonio, Vitetta Antonino, and Rindone Corrado. "Transport models and intelligent transportation system to support urban evacuation planning process." IET Intelligent Transport Systems 10, no. 4 (May 1, 2016): 279–86. http://dx.doi.org/10.1049/iet-its.2015.0127.

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28

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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29

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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30

Katerna, Olga. "INTELLIGENT TRANSPORT SYSTEM: THE PROBLEM OF DEFINITION AND FORMATION OF CLASSIFICATION SYSTEM." Economic Analysis, no. 29(2) (2019): 33–43. http://dx.doi.org/10.35774/econa2019.02.033.

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Introduction. The experience of developing the economies of the developed countries of the world suggests that it is directly related to the evolution of transport and infrastructure. In most of countries, intelligent transport systems (ITS) are under investigation as one of the scientific directions of the symbiosis of the economy - technology – telematics, and considered as the most effective tool for solving transport problems. The efforts of international organizations, state representatives in the field of transport, scientists, entrepreneurs and the public are aimed at such key areas as: significant increase in both the safety of transport on all modes of transport and capacity grows of the transport system of the country. Purpose. The goal of the article is to develop a single integrated approach to the definition of the term ITS and to provide a general classification system with details on the management objects. Methods. To achieve the goal methods have been used based on the systems approach, management theory and decision-making theory. The system analysis has been used to determine the scientific task. Results. In order to implement the tasks of transport management in terms of ITS, the system analysis of the field of research has been carried out in the article, including the systematization of the definition and the construction of a general classification system with details on the management objects. The analysis of the subject area of ITS usage has allowed establishing the main classes of the analyzed objects, to classify the tasks of monitoring characteristics, organization of management of transport flows and transportation process, information support for participants, organization of transport infrastructure management. Research of the literature sources allowed to form an integrated approach to the ITS classification system, which includes both systems introduced in the objects of transport infrastructure and in the management of transport flows. In the addition to the above, the main thing in the infrastructure objects is the terminal monitoring and management system, as well as the security management system. Conclusion. ITS is a new type of transport management systems that are gradually replaced by automated control systems. They are focused on modeling various cases and forecasting of dangerous situations and be used for decision-making tool in the condition of great complexity and large amounts of data. ITC can be considered as an important component of the modern integrated approach to improving the efficiency of the functioning of the country's transport system by expanding their information infrastructure: automated data collection on state of the system in real time, modeling direct and indirect operational impact on the formation and change of transport flows.
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31

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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32

Kunicina, Nadezhda, Alina Galkina, Anatolijs Zabasta, Antons Patlins, and Kaspars Kondratjevs. "Traffic Route Modelling and Assignment with Intelligent Transport System." Electrical, Control and Communication Engineering 7, no. 1 (December 1, 2014): 34–40. http://dx.doi.org/10.1515/ecce-2014-0021.

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Abstract The development of signal transmitting environment for multimodal traffic control will enhance the integration of emergency and specialized transport routing tools in usual traffic control paradigms - it is one of the opportunities offered by modern intelligent traffic control systems. The improvement of effective electric power use in public transport system is an advantage of Intelligent Transport System (ITS). The research is connected with the improvement of on-line traffic control and adaptation of special traffic lighting alternatives by ITS. The assignment of the nearest appropriate transport will be done by passenger request, but unlike information system, the transport planning is done on demand. The task can be solved with the help of modern technical methods and equipment, as well as by applying control paradigms of the distributed systems. The problem is solved with the help of calculations hyper-graph and scheduling theory. The goal of the research is to develop methods, which support scheduling of the emergency transport, using high performance computing.
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33

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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34

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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35

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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36

Krawiec, Krzysztof, Marcin Jacek Kłos, Sylwester Markusik, and Aleksander Bułkowski. "Evaluation of a transportation system based on electric drive from cybersafety point of view." WUT Journal of Transportation Engineering 124 (March 1, 2019): 65–78. http://dx.doi.org/10.5604/01.3001.0013.6762.

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The article presents threats related to broadly understood cybersecurity, encountered in modern public transport, especially in cases of increasingly introduced Intelligent Transport Systems (ITS). Experience to date has shown strong links between the technical sphere and IT system of public transport, ensuring its protection against unwanted externa l interference from people (or organizations) trying to disrupt its functioning. The following - inter alia - are of a key importance: the system of existing bus network as well as organization of bus work on routes (schedule) and its IT links, monitoring and system protection against external interference. The main goal of cybersecurity in public transport is to increase the level of cybersecurity in city agglomeration by increasing the availability of hardware and IT tools, included in intelligent transport systems, protecting safety and reliability of operation of public transport.
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37

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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38

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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39

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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40

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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41

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

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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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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Tuominen, A., T. Järvi, J. Räsänen, A. Sirkiä, and V. Himanen. "Common preferences of different user segments as basis for intelligent transport system: case study – Finland." IET Intelligent Transport Systems 1, no. 2 (2007): 59. http://dx.doi.org/10.1049/iet-its:20060065.

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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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Kijewska, Kinga. "Analysis of selected elements of smart systems transportation in Szczecin." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, no. 6 (June 30, 2018): 857–60. http://dx.doi.org/10.24136/atest.2018.190.

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The aim of the article is to present solutions in the field of intelligent transport systems used in Szczecin. The city of Szczecin, due to its location and communication routes, is an important element of the national transport system. The city's task is to provide all users with efficient mobility, not forgetting to maintain the principles of sustainable development. The way to meet these goals is the implementation of intelligent transport systems. The subject of the research presented in the article are the selected subsystems of the intelligent transport system operating in Szczecin. The analysis was made by verifying information provided by Variable Message Signs.
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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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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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Dahl, Martin, Kristofer Bengtsson, and Petter Falkman. "Application of the Sequence Planner Control Framework to an Intelligent Automation System with a Focus on Error Handling." Machines 9, no. 3 (March 12, 2021): 59. http://dx.doi.org/10.3390/machines9030059.

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Future automation systems are likely to include devices with a varying degree of autonomy, as well as advanced algorithms for perception and control. Human operators will be expected to work side by side with both collaborative robots performing assembly tasks and roaming robots that handle material transport. To maintain the flexibility provided by human operators when introducing such robots, these autonomous robots need to be intelligently coordinated, i.e., they need to be supported by an intelligent automation system. One challenge in developing intelligent automation systems is handling the large amount of possible error situations that can arise due to the volatile and sometimes unpredictable nature of the environment. Sequence Planner is a control framework that supports the development of intelligent automation systems. This paper describes Sequence Planner and tests its ability to handle errors that arise during execution of an intelligent automation system. An automation system, developed using Sequence Planner, is subjected to a number of scenarios where errors occur. The error scenarios and experimental results are presented along with a discussion of the experience gained in trying to achieve robust intelligent automation.
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Jakimavičius, Marius, and Marija Burinskienė. "ROUTE PLANNING METHODOLOGY OF AN ADVANCED TRAVELLER INFORMATION SYSTEM IN VILNIUS CITY." TRANSPORT 25, no. 2 (June 30, 2010): 171–77. http://dx.doi.org/10.3846/transport.2010.21.

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As a subsystem of an Intelligent Transportation System (ITS), an Advanced Traveller Information System (ATIS) disseminates real‐time traffic information to travellers. To help them with making better decisions on choosing their routes, a strong need to predict traffic congestion and to disseminate the predicted congestion information relating to travellers can be seen. This paper describes a methodology used by drivers for calculating an optimal driven route in Vilnius. The paper discusses how ATIS systems will likely evolve the experience of Information Service Providers (ISP) and optimal route planning calculations. A few methods of route planning have been taken into account. The paper presents the following types of route calculation: 1) the shortest route; 2) the quickest route; 3) the quickest forecasted route according to historical traffic information. Also, the paper deals with the architecture of the WEB based information system for drivers in Vilnius and analyzes data on traffic workflow. Furthermore, a comprehensive route planning procedure that forecasts data on driving time considering historical traffic is followed.
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