Differentiation Analysis Between Driving Demand Based on Driving Atlas and Road Supply
- DOI
- 10.2991/978-94-6463-256-9_156How to use a DOI?
- Keywords
- driving behavior; graph representation; feature classification; supply-demand difference analysis
- Abstract
In order to reduce traffic accidents on special sections of mountainous highways and optimize individual driving behaviors, a behavioral map for studying individual driving behaviors is proposed. Based on simulated driving behavior data of individual drivers on mountainous highways, the statistical characteristics of driving behaviors are studied. The acceleration, deceleration, and steering wheel angle of the vehicle are selected as the feature indicators to describe individual driving behaviors, and a graph-based individual driving behavior feature expression method is constructed to study the supply-demand differences between different driving behaviors and road conditions. The results show that the driving behavior map can not only accurately and intuitively express the relationship between driving behavior and driving safety, but also clearly display the conflicts between road condition supply and driving behavior demand. The research results provide reasonable suggestions and solutions for alleviating supply-demand conflicts and behavior control, and improve the safety and operational efficiency of road traffic.
- Copyright
- © 2024 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.
Cite this article
TY - CONF AU - Guoqing Liu PY - 2023 DA - 2023/10/09 TI - Differentiation Analysis Between Driving Demand Based on Driving Atlas and Road Supply BT - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023) PB - Atlantis Press SP - 1540 EP - 1547 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-256-9_156 DO - 10.2991/978-94-6463-256-9_156 ID - Liu2023 ER -