84,993 research outputs found

    Editorial Advanced Driver Assistance Systems

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    The application of Intelligent Transportation Systems (ITS), in particular Advanced Driver Assistance Systems (ADAS), is expected to improve the performance of road transportation significantly. Public policy makers, among others, are therefore increasingly interested in the implementation of these systems. Available knowledge on various implementation issues is growing, but still limited. This is due to the complex interactions between technological re- quirements, market introduction, impacts on driver behaviour and traffic performance and policy priorities. This article provides a framework for ADAS implementation, reviews recent developments in this field and introduces the contributions to this special issue

    LimSim: A Long-term Interactive Multi-scenario Traffic Simulator

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    With the growing popularity of digital twin and autonomous driving in transportation, the demand for simulation systems capable of generating high-fidelity and reliable scenarios is increasing. Existing simulation systems suffer from a lack of support for different types of scenarios, and the vehicle models used in these systems are too simplistic. Thus, such systems fail to represent driving styles and multi-vehicle interactions, and struggle to handle corner cases in the dataset. In this paper, we propose LimSim, the Long-term Interactive Multi-scenario traffic Simulator, which aims to provide a long-term continuous simulation capability under the urban road network. LimSim can simulate fine-grained dynamic scenarios and focus on the diverse interactions between multiple vehicles in the traffic flow. This paper provides a detailed introduction to the framework and features of the LimSim, and demonstrates its performance through case studies and experiments. LimSim is now open source on GitHub: https://www.github.com/PJLab-ADG/LimSim .Comment: Accepted by 26th IEEE International Conference on Intelligent Transportation Systems (ITSC 2023

    TRA-953: AUTOMATION IN DRIVING FOR ENHANCING RESILIENCY IN TRANSPORTATION SYSTEM

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    The ability of the transportation system to continue to serve traffic under disruptive conditions is a resilience characteristic of infrastructure and traffic management. In the context of this research, resilience is defined as the ability to resist the loss of traffic-serving capability by using traffic (including geometric) and control system design advances (i.e. the inherent resilience) and by activating capacity-enhancing measures (i.e. the dynamic resilience). Vulnerabilities in road traffic networks cause the loss of capability to serve demand overloads. On the other hand, intelligent technology and associated methodology can potentially prevent or reduce this loss of capability. An outstanding research question is the role of automation in driving for enhancing the resilience of urban road traffic network. This paper reports research in-progress on improving resilience of adaptive capacity in traffic networks with intelligent systems and advanced methods. An introduction is provided to vulnerabilities in traffic network, and available information is used as empirical evidence of vulnerabilities. Inherent and dynamic resilience measures of the traffic system are defined at the scales of corridors and networks that can potentially overcome vulnerabilities. Features of autonomous driving are presented as resilience-enhancing measures. Finally, conclusions are presented on the potential of automation in driving to enhance the resilience of urban traffic network so that it can withstand high predictive imbalances of demand vs. capacity as well as stochastic traffic overloads and recover functionality at a tolerable level of performance within an acceptable time period

    Guest editorial : Introduction to the special issue on connected vehicles in intelligent transportation systems

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    Connected vehicles (CVs) are one of the critical components of intelligent transportation systems. CVs enable any vehicle to act as a smart node that collects and shares information on vehicles, roads, and their surroundings. This information can then be distributed to other vehicles via vehicle-to-vehicle (V2V) communication, and also to road users via vehicle-to-human (V2H) communication, for an improved driving experience. The information can also be forwarded toward traffic control systems via vehicle-to-infrastructure (V2I) communication, for improved traffic management and road safety. Making use of of connected vehicles in intelligent transportation systems will revolutionize the way we drive. Many issues, however, need to be resolved to achieve better performance of connected vehicles. Improvements relate to data processing and storage, the development of standards and regulations across all platforms, design and deployment of new communication protocols and system architectures, and the creation and introduction of new services and applications.http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979hj2018Electrical, Electronic and Computer Engineerin

    A study of Intelligent Transport Systems (ITS) in Dublin Port in conjunction with the Intelligent Transport for Dynamic Environment (InTraDE) Project

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    In the last four decades the container as an essential part of a unit load-concept has achieved authentic importance in international sea freight transportation. With ever increasing containerization the number of port container terminals and competition among them has become quite remarkable. Port container operations are nowadays unthinkable without effective and efficient use of Intelligent Transport Systems (ITS) (Steenken & Stahlbock, 2004). The main problem in handling increasing levels of cargo is managing the internal traffic and optimizing space inside smaller and medium sized ports. A gap exists between automated cargo handling equipment that is suitable for use in the larger container terminals such as Rotterdam and its suitability in smaller terminals such as Dublin. A new generation of cargo handling technology has been designed in the form of an Intelligent Autonomous Vehicle (IAV). The IAV is a clean, safe, intelligent vehicle which will contribute to improving the traffic management and space optimization inside confined space by developing a clean, safe and intelligent transport system. This technology has been designed and developed as part of the ‘InTraDE’ (Intelligent Transport for Dynamic Environment) project to which the research has contributed. By using ITSs, logistics operations could be improved by enhancing the exchange of information and real-time status updates regarding different business operations in different modes of transportation (Schumacher et al., 2011). Maritime transport has recently gained increased attention, especially in connection to the building and further development of ITS (Pietrzykowski, 2010). This research looks at the main logistic processes and operations in port container terminals. It discusses the extent to which the terminal shipping operators in Dublin Port currently meet the demands of their customers and whether the introduction of ITS could enhance the efficiency and productivity of such services

    Sharing and Using Connected Device Data to Improve Traveler Safety and Traffic Management\u2014Concept of Operations, Use Cases, Traveler Information Needs, Messages, and Requirements

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    DTFH61-16-D-00051 T-0005The ability to exchange electronic messages with mobile devices in realtime can to improve travel safety, mobility, and the experience for users of the surface transportation systems. Intelligent transportation system devices and traffic management systems using information derived from electronic messages travelers, vehicles, and other sources agree to offer new options for agencies to consider how to improve how they manage traffic and travelers. This report provides information and strategies that can assist agencies as they evaluate, plan, or develop efforts associated with electronic message sharing with mobile devices. As an introduction to the topic, the report provides an overview of the components involved with sharing and using these electronic messages and the needs of travelers to process and use this information

    Resource providing components of economic security of engineering enterprises

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    In the area of Intelligent Transportation Systems the introduction of wireless communications is reshaping the information distribution concept, and is one of the most important enabling technologies. The distribution of real-time traffic information, scheduling and route-guidance information is helping the transportation management systems in their strive to optimize the system. The communication required to transfer all this information is rather expensive in terms of transmission power, use of the scarce resources of frequencies and also the building of an infrastructure to support the transceivers. By using information that already exists and is exchanged within the infrastructures of the GSM and UMTS networks, a lot of the resource problems are solved. The information that could be extracted from these cellular networks could be used to obtain accurate road traffic information to support real-time traffic information. In this way the cellular networks not only becomes the means to distribute information but also a source of road traffic information. From the analysis made it is obvious that the potential of retrieving valuable road traffic information from cellular systems in a cost efficient way, i.e. by using already existing signalling data, is very high. It has however not been clear what to expect from these systems in terms of accuracy, availability and coverage. In this chapter the basics for this is laid out and discussed in detail. A practical trial has also been performed and the results show clearly the potential as well as the differences in using the GSM compared to the UMTS system. The advantages and drawbacks are discussed and backed up by real measurements from an existing road segment environment. The main advantages of using the existing signalling data, i.e., passive monitoring compared to active monitoring where the terminal sends extra data is discussed and could be summarized in three components, no user acceptance is necessary, no extra signalling is necessary and it does not drain the terminal battery. In the future it is likely that vehicles need to communicate more frequently with each other and with some kind of traffic control centre. This traffic will also be very useful in order to estimate road traffic information using the signalling information obtained from the cellular system. However, the enhanced communication systems will also change traffic patterns in the cellular networks which will affect the potential of estimating road traffic from cellular systems. The evolvement indicates that the terminals will be in active state almost constantly, and hence the updating information will be more frequent and the information more accurate
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