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Application of EUVC Algorithm to Evaluate Unconnected Vehicle in A Connected Vehicle Environment

机译:EUVC算法在连接车辆环境中评估未连接车辆的应用

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Actual traffic signal control strategies rely on detectors, it detects traffic information as a control logic input. In fact, this kind of detector is based on facilities and usually called point detector which cannot directly provide the data of vehicle situation which includes speed, location, acceleration and headway etc. Meanwhile with the development of vehicles, more and more vehicles bring a series of questions, just like traffic congestion, environmental pollution and emission. Comparing with other regions This phenomenon is especially serious in intersection. With the rapid development of wireless communication technology in the emerging inter-connected vehicle system, it is possible to contact with each other between the vehicle and vehicle, vehicle and infrastructure. In this paper it proposes that connected vehicles can provide more complete statistics when closing to intersection in connected environment, at the same time, applying a new algorithm calls EUVC, when a vehicle approaches to an intersection, three sections from this area are divided to evaluate unconnected vehicles situations with different algorithms, thereby it is possible to provide complete original statistics for adaptive signal control system to improve its work efficiency and reduce a series of traffic problems. In addition, combing VISSIM with a text bed to validate whether this algorithm can work well or not.
机译:实际交通信号控制策略依赖于探测器,它检测到作为控制逻辑输入的流量信息。事实上,这种检测器基于设施,通常被称为点检测器,该点检测器不能直接提供包括速度,位置,加速度和前进等的车辆情况的数据,同时随着车辆的发展,越来越多的车辆带来了一个系列问题,就像交通拥堵,环境污染和排放一样。与其他地区相比,这种现象在交叉路口中特别严重。随着在新出现的连接车辆系统中无线通信技术的快速发展,可以在车辆和车辆,车辆和基础设施之间彼此接触。在本文中,提出了连接的车辆在连接环境中关闭交叉点时可以提供更完整的统计数据,同时应用新算法呼叫EUVC,当车辆进入交叉路口时,该区域的三个部分被分开了评估未连接的车辆与不同算法的情况,从而可以提供自适应信号控制系统的完整原始统计,以提高其工作效率并减少一系列交通问题。此外,用文本床梳理Vissim以验证该算法是否可以很好地工作。

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