Obtaining the traffic operation state of the road network can help the traffic management department to optimize management measures, provide reference for travelers on travel modes and travel routes, effectively alleviate the congestion situation and avoid the vicious circle caused by blindly building more roads. Floating car method has become an important method for intelligent transportation system to collect road network operation information, and the collected data has the advantages of large quantity, wide coverage, low cost and great representativeness. This paper starts with GPS data collected by taxis in Dongguan, China, extracts traffic parameters from them, and uses clustering algorithm to identify traffic conditions. Finally, according to the correlation analysis method, the temporal and spatial variation law of the running state of each section in the road network is mined, which provides suggestions for improving traffic conditions.
Analysis of urban road network operation state based on GPS data of floating car
3rd International Conference on Internet of Things and Smart City (IoTSC 2023) ; 2023 ; Chongqing, China
Proc. SPIE ; 12708
2023-06-14
Conference paper
Electronic Resource
English
Urban regional road network operation index assessment method based on floating car technology
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