ASDA/FOTO based on Kerner’s three-phase traffic theory in North Rhine-Westphalia and its integration into vehicles
ASDA/FOTO based on Kerner’s three-phase traffic theory in North Rhine-Westphalia and its integration into vehicles
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DOI：
10.1109/ivs.2008.4621192
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发表时间：
2008-06
期刊：
影响因子：
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通讯作者：
H. Rehborn;J. Palmer
中科院分区：
文献类型：
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作者：
H. Rehborn;J. Palmer
在北莱茵-威斯特伐利亚州高速公路上使用固定环路探测器测量的交通数据被德国一家主要广播电台（WDR）用于检测和重建时空拥堵交通模式。这是通过基于Kernerpsila三相交通理论的ASDA（自动拥堵识别）和FOTO（交通对象预测）模型完成的。检测到的拥挤交通模式可以作为生产和控制RDS/TMC交通信息的基础，这些信息广播给车辆导航系统中的无线电听众和RDS/TMC接收器。本文简要讨论了ASDA和FOTO模型的理论背景，以及迄今为止在北莱茵-威斯特伐利亚州在线运行中未对模型参数进行任何校准的结果。介绍了为ASDA和FOTO开发的与RDS/TMC消息相关的质量指数，以及模型集成到车辆中的架构方面。
Traffic data measured with stationary loop detectors on freeways in North-Rhine Westphalia are used at a major German radio broadcasting station (WDR) for the detection and reconstruction of spatial-temporal congested traffic patterns. This is done with models ASDA (automatic jam recognition) and FOTO (forecasting of traffic objects) based on Kernerpsila three-phase traffic theory. The detected congested traffic patterns can be suitable as a basis for production and control of RDS/TMC traffic messages which are broadcasted to radio listeners and RDS/TMC receivers in vehicle navigation systems. The article briefly discusses the theoretical background of the models ASDA and FOTO as well as the results achieved until now in the on-line operation in North Rhine-Westphalia without any calibration of model parameters. A quality index developed for ASDA and FOTO relevant for RDS/TMC messages as well as architectural aspects of the modelpsilas integration into vehicles are presented.