在车辆之间分散传播短暂的道路事故信息

IF 2.8 3区 工程技术 Q3 TRANSPORTATION
Wenyan Hu , Stephan Winter , Kourosh Khoshelham
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引用次数: 0

摘要

对于附近的车辆,尤其是那些正在接近或计划经过的车辆来说,短暂事件,即交通中或路边发生的、对道路安全和道路通行能力只有局部和短期影响的事件,是值得注意的。我们研究了互联车辆间通信检测到的短暂事件的方法,比较了各种分散式(车对车)通信策略,并在效率和广播冗余方面对现有的集中式机制进行了权衡。我们利用现实的道路网络、行驶路线和交通流量对这些策略进行了模拟。我们确定了在每种情况下向受影响车辆发送事故信息的成功率高达 100% 的策略,同时将广播冗余降至最低。总体而言,分散式车对车通信策略在高效率、高效益地传输事故信息方面显示出强大的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decentralized spreading of ephemeral road incident information between vehicles

Ephemeral incidents, or events in traffic or on the roadside that have only local and short-term impact on road safety and road capacity, are noteworthy for vehicles nearby—especially those approaching and planning to pass by. We study ways to communicate detected ephemeral incidents between connected vehicles, comparing various decentralized (vehicle-to-vehicle) communication strategies and weighing with established centralized mechanisms with regard to efficiency and broadcasting redundancy. The strategies are implemented in a simulation using realistic road networks, travel routes and traffic. We identify the strategy that achieves up to 100% success rate in transmitting incident messages to the affected vehicles under each scenario, while minimizing broadcast redundancy. In general, decentralized vehicle-to-vehicle communication strategies show strong potential to transmit incident messages efficiently and effectively.

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来源期刊
CiteScore
8.80
自引率
19.40%
发文量
51
审稿时长
15 months
期刊介绍: The Journal of Intelligent Transportation Systems is devoted to scholarly research on the development, planning, management, operation and evaluation of intelligent transportation systems. Intelligent transportation systems are innovative solutions that address contemporary transportation problems. They are characterized by information, dynamic feedback and automation that allow people and goods to move efficiently. They encompass the full scope of information technologies used in transportation, including control, computation and communication, as well as the algorithms, databases, models and human interfaces. The emergence of these technologies as a new pathway for transportation is relatively new. The Journal of Intelligent Transportation Systems is especially interested in research that leads to improved planning and operation of the transportation system through the application of new technologies. The journal is particularly interested in research that adds to the scientific understanding of the impacts that intelligent transportation systems can have on accessibility, congestion, pollution, safety, security, noise, and energy and resource consumption. The journal is inter-disciplinary, and accepts work from fields of engineering, economics, planning, policy, business and management, as well as any other disciplines that contribute to the scientific understanding of intelligent transportation systems. The journal is also multi-modal, and accepts work on intelligent transportation for all forms of ground, air and water transportation. Example topics include the role of information systems in transportation, traffic flow and control, vehicle control, routing and scheduling, traveler response to dynamic information, planning for ITS innovations, evaluations of ITS field operational tests, ITS deployment experiences, automated highway systems, vehicle control systems, diffusion of ITS, and tools/software for analysis of ITS.
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