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Differentiation Analysis Between Driving Demand Based on Driving Atlas and Road Supply

In: Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

Author

Listed:
  • Guoqing Liu

    (Shanghai Maritime University, Institute of Logistics and Science)

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.

Suggested Citation

  • Guoqing Liu, 2024. "Differentiation Analysis Between Driving Demand Based on Driving Atlas and Road Supply," Advances in Economics, Business and Management Research, in: Suhaiza Hanim Binti Dato Mohamad Zailani & Kosga Yagapparaj & Norhayati Zakuan (ed.), Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), pages 1540-1547, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-256-9_156
    DOI: 10.2991/978-94-6463-256-9_156
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