Load Characteristics-based Traffic Safety Risk Assessment

DOI

10.2991/978-94-6463-845-5_88How to use a DOI?

Keywords

Load Characteristics; Weight-in-Motion (WIM); Traffic Safety Risk Assessment; Intelligent Connected Environments

Abstract

The weight of vehicles has a significant impact on traffic safety. Advanced vehicle weight measurement technologies, such as Dynamic Weighing (WIM), can use tire pressure sensors to obtain traffic and vehicle weight characteristics in a non-intrusive manner, providing the possibility for conducting traffic safety research that integrates vehicle weight. This study investigated the relationship between vehicle load characteristics (vehicle weight and gross vehicle ratio) and macro traffic safety indicators (average speed and standard deviation of speed). By analyzing the integrated data of traffic and meteorology, vehicle weight and the rate of large vehicles are significantly negatively correlated with the average speed, which means that the higher the rate of large vehicles, the lower the average speed. However, the correlations between vehicle weight, the rate of large vehicles and the standard deviation of speed are relatively weak. In addition, the correlation between meteorological factors and this average vehicle speed and the standard deviation of vehicle speed is extremely small. However, the model considering vehicle weight, the rate of large vehicles and axle load/number can well reflect the change in average speed. Studies show that in an intelligent and interconnected environment, traffic safety assessment should take vehicle weight and the rate of large vehicles as key indicators.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ying Wang
AU  - Yameng Li
PY  - 2025
DA  - 2025/09/16
TI  - Load Characteristics-based Traffic Safety Risk Assessment
BT  - Proceedings of the 2025 6th International Conference on Management Science and Engineering Management (ICMSEM 2025)
PB  - Atlantis Press
SP  - 895
EP  - 903
SN  - 2667-1271
UR  - https://doi.org/10.2991/978-94-6463-845-5_88
DO  - 10.2991/978-94-6463-845-5_88
ID  - Wang2025
ER  -