Study on Severity and Influencing Factors of Injury at Intersections

DOI

10.2991/assehr.k.200312.001How to use a DOI?

Keywords

intersections, crash injury severity, influencing factors, K-means cluster

Abstract

Intersections are the places where traffic accidents occur frequently. As the hub of urban transportation, ensuring the efficient and safe operation of vehicles has become a problem that needs to be solved. The research on the mechanism of the severity of traffic accident injury at intersections can provide an important basis for traffic managers or autonomous vehicles to make driving decisions under dangerous conditions. The K-means clustering is used to analyze the traffic accident data, and the vehicle-road-environment is taken as the internal cause variable to characterize the severity of the collision injury, and the clustering results are used to classify the severity of the injury. The severity of injury can be divided into mild injury, moderate injury and severe injury. The clustering results based on the severity of the injury show that the four most significant factors are the type of intersection, the type of collision vehicles, the relative speed and the signal control of the intersection. The results of the study put forward policy suggestions for the planning and management of urban intersections from many angles.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Linlin Wang
AU  - Junyou Zhang
AU  - Yuan Feng
PY  - 2020
DA  - 2020/03/18
TI  - Study on Severity and Influencing Factors of Injury at Intersections
BT  - Proceedings of the 5th International Symposium on Social Science (ISSS 2019)
PB  - Atlantis Press
SP  - 1
EP  - 4
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200312.001
DO  - 10.2991/assehr.k.200312.001
ID  - Wang2020
ER  -