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Applying floating car data in traffic monitoring

机译:在交通监控中应用浮动汽车数据

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摘要

A new data fusion method has been developed which theoretically provides relevant information about traffic states at all crucial locations of urban road networks. This mainly based on Floating Car Data(FCD). FCD based on the collection of localisation data, speed, direction of travel and time information from GPS in vehicles that are being driven. The scope of the project is to development and creation of a Web-based data mart for the collection of FCD. The aim of this traffic management is to improve traffic flows by promoting more efficient use of the capacity of existing road infrastructure and transportation networks. For high quality traffic and safety information services, floating car data are essential to generate content. This system coverage is up to 80% and the accuracy of the information can reach more than 85%.
机译:已经开发了一种新的数据融合方法,该方法理论上可提供有关城市道路网络所有关键位置的交通状态的相关信息。这主要基于浮动汽车数据(FCD)。 FCD基于正在行驶的车辆中GPS的定位数据,速度,行进方向和时间信息的收集。该项目的范围是开发和创建用于收集FCD的基于Web的数据集市。这种交通管理的目的是通过促进更有效地利用现有道路基础设施和交通网络的容量来改善交通流量。对于高质量的交通和安全信息服务,浮动汽车数据对于生成内容至关重要。该系统覆盖率高达80%,信息的准确性可以达到85%以上。

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