Traffic Congestion Detection Based On GPS Floating-Car Data
Yongchuan Zhang, Zuo Xiaoqing, Zhang Li-ting, Chen Zhen-ting
Abstract
Yongchuan Zhang, Zuo Xiaoqing, Zhang Li-ting, Chen Zhen-ting
Abstract
Congestion has been a major challenge to urban traffic system. Based on GPS floating-car data (FCD), a method to acquire traffic congestion information is studied. And then, using about 6,000,000 pieces of data generated by 500 taxis in one day as experiment data, we extract the traffic congestion information of a big city in China through GPS data preprocessing, map matching, travel speed estimation, and several other key steps, and finally a map which exhibit the traffic congestion distribution of the city is produced.
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Congestion has been a major challenge to urban traffic system. Based on GPS floating-car data (FCD), a method to acquire traffic congestion information is studied. And then, using about 6,000,000 pieces of data generated by 500 taxis in one day as experiment data, we extract the traffic congestion information of a big city in China through GPS data preprocessing, map matching, travel speed estimation, and several other key steps, and finally a map which exhibit the traffic congestion distribution of the city is produced.
Key concepts: Taxis, Traffic congestion, Global Positioning System, Floating car data, Map matching, Computer science, Data pre-processing, Traffic congestion reconstruction with Kerner's three-phase theory