Analysis of urban road network operation state based on GPS data of floating car

Shangxin Gao

doi:10.1117/12.2683873

14 June 2023 Analysis of urban road network operation state based on GPS data of floating car

Shangxin Gao

Proceedings Volume 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）; 127080L (2023) https://doi.org/10.1117/12.2683873
Event: 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 2023, Chongqing, China

Abstract

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.

Citation Download Citation

Shangxin Gao "Analysis of urban road network operation state based on GPS data of floating car", Proc. SPIE 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 127080L (14 June 2023); https://doi.org/10.1117/12.2683873

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