V2I-Based Multi-Objective Driver Assistance System for Intersection Support

作者: Jianqiang Wang , Jiaxi Liu , Xiaohui Qin , Keqiang Li

DOI: 10.1016/B978-0-12-397199-9.00009-4

关键词: Traffic simulationRelation (database)SmoothnessBeaconAdvanced driver assistance systemsIdentification (information)Kalman filterSimulationEngineeringIntersection (aeronautics)

摘要: Abstract Vehicle driving assistance systems that recognize traffic signals can enhance safety, and improve comfort smoothness at intersections. This study presents a configuration of Intersection Driver Assistance Systems (IDAS) an algorithm multi-objective IDAS for intersection support, which includes the two functions support signal violation avoidance warning. Firstly, system structure is designed strategy developed. To provide with necessary information, estimation method vehicle status based on Kalman filtering relative positioning between Radio-Frequency Identification (RFID) beacons proposed. In relation to safety strategy, this chapter passing critical speed dynamic warning multiple levels velocity threshold. Then algorithms are matched various scenarios The effects analyzed by random simulation field tests. results show besides function enhancing proposed reduce deceleration times increase rates intersections, therefore smoothness.

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