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Automotive Engineering ›› 2025, Vol. 47 ›› Issue (8): 1448-1458.doi: 10.19562/j.chinasae.qcgc.2025.08.002

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Research on Topology Modeling Method of Dynamic Driving Environment for Automated Driving Vehicle Simulation

Xin Jia,Qiang Zhang(),Zhiheng Zhang,Jinpeng Gao,Hsin Guan   

  1. Jilin University,National Key Laboratory of Automotive Chassis Integration and Bionics,Changchun 130025
  • Received:2024-10-16 Revised:2025-02-06 Online:2025-08-25 Published:2025-08-18
  • Contact: Qiang Zhang E-mail:qiangzhang18@mails.jlu.edu.cn

Abstract:

To meet the requirements of simulation tools for automated driving system development, for the lack of complete and concise expression models and fast indexing methods for the driving related information in complex traffic scenarios, a dynamic driving environment modeling method based on topological psychological principles is proposed. With the environment representation model based on humanlike thinking patterns and the information storage and indexing methods based on humanlike memory patterns, effective organization, management, and rapid screening and extraction of environmental information required for driving decisions can be achieved. The model can be used for both traffic simulation and automated driving system. Two dynamic driving environment models of typical scenarios are established in VTD, and the effectiveness of the proposed method is verified.

Key words: automated driving system, dynamic driving environment, graph database, topological psychology, Gestalt psychology