Evolution analysis of temporal-spatial distribution characteristics of fatal traffic accidents

Jiaxuan He; Dan Zhao; Xuejun Niu

doi:10.1117/12.2684739

21 July 2023 Evolution analysis of temporal-spatial distribution characteristics of fatal traffic accidents

Jiaxuan He, Dan Zhao, Xuejun Niu

Proceedings Volume 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023); 127171S (2023) https://doi.org/10.1117/12.2684739
Event: 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 2023, Wuhan, China

Abstract

In order to promote the work of "reduction and control" in public security traffic management, and to clarify the temporal and spatial evolution characteristics of traffic fatalities, this paper is based on the data of road traffic fatalities from 2019 to 2021, with the help of the AutoNavi map open platform to complete the spatial location of accidents. Using the improved density clustering algorithm, the clustering analysis was carried out on the key illegal behavior accidents, using geographic information analysis technology to analyze the spatial distribution characteristics and temporal evolution characteristics of fatal traffic accidents caused by three types of key violations. In the regional distribution of fatal accidents of drunk driving and unlicensed driving, the situation is mainly stable and improving, and the fatal accidents of failing to give way according to regulations are mostly deteriorating; in addition, the construction of the new city in District VII and the construction of the sub-center of the city in District VIII have been carried out steadily, the traffic demand has become increasingly strong, and many types of illegal activities and accidents have shown a worsening trend, and XI and IV districts are mainly stabilizing and improving. The results of the study are helpful for the traffic police department to implement refined management of regional traffic accidents and make corresponding preventive measures.

Citation Download Citation

Jiaxuan He, Dan Zhao, and Xuejun Niu "Evolution analysis of temporal-spatial distribution characteristics of fatal traffic accidents", Proc. SPIE 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 127171S (21 July 2023); https://doi.org/10.1117/12.2684739

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KEYWORDS

Roads

Failure analysis

Geographic information systems

Evolutionary algorithms

Safety

Statistical analysis

Data conversion

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