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University of Applied Sciences Stuttgart, Department of Geomatics, Computer Science and Mathematics, SchellingstraBe 24, D-70174 Stuttgart

机译:应用科学大学斯图加特,电脑科学与数学系,Schellingstrabe 24,D-70174 Stuttgart

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With the improvement of road condition, traffic control and traffic information services become more and more popular and necessary. The accurate raw data of traffic situation is vital precondition for traffic decision-making. Intelligent transportation system is the certain outcome when the modern traffic system develops to a high degree. In intelligent transportation systems, real-time transportation information can be collected by Floating Car Data (FCD). In this situation, positions of a sufficient number of vehicles can be frequently sent to the center site and travel time can be measured directly. The traffic center gathers all FCD to realize traffic pattern recognition and then the recognition sets are sent by broadcast. Users can receive this information by wireless implements for dynamic navigation. In this paper, coordinate transformation of FCD, map-matching method and road segment velocity considering FCD and traffic information publication are discussed. To verify the feasibility of these methods, they are applied in a case study and prototype for Urban Transport Simulation System and certain experiment results are obtained.
机译:随着道路状况的提高,交通管制和交通信息服务变得越来越受欢迎,必要。交通状况的准确原始数据是交通决策的重要前提。当现代交通系统发展到高度时,智能交通系统是某些结果。在智能交通系统中,可以通过浮动汽车数据(FCD)收集实时运输信息。在这种情况下,可以经常将足够数量的车辆的位置送到中心现场,并且可以直接测量行程时间。交通中心收集所有FCD以实现流量模式识别,然后通过广播发送识别集。用户可以通过用于动态导航的无线实现来接收此信息。本文讨论了考虑FCD和交通信息公开的FCD,MAP匹配方法和道路段速度的坐标变换。为了验证这些方法的可行性,它们适用于在城市运输模拟系统的案例研究和原型中,获得了某些实验结果。

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