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LU Hong
State Key Laboratory of CAD&CG,
Zhejiang University,
Hangzhou 310027, China
3D Technology Co., Ltd,
Ningbo 315040, China
YI Guodong
TAN Jianrong
LIU Zhenyu
State Key Laboratory of CAD&CG,
Zhejiang University,
Hangzhou 310027, China |
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COLLISION AVOIDANCE DECISION- MAKING
MODEL OF MULTI-AGENTS IN VIRTUAL DRIVING ENVIRONMENT WITH
ANALYTIC HIERARCHY PROCESS*
Abstract:
Collision avoidance decision-making models of multiple agents in
virtual driving environment are studied. Based on the behavioral characteristics and hierarchical structure of the collision avoidance decision-making in real life driving, delphi approach and mathematical statistics method are introduced to construct pair-wise comparison judgment matrix of collision avoidance decision choices to each collision situation. Analytic hierarchy process (AHP) is adopted to establish the agents’ collision avoidance decision-making model. To simulate drivers’ characteristics, driver factors are added to categorize driving modes into impatient mode, normal mode, and the cautious mode. The results show that this model can simulate human’s thinking process, and the agents in the virtual environment can deal with collision situations and make decisions to avoid collisions without intervention. The model can also reflect diversity and uncertainty of real life driving behaviors, and solves the multi-objective, multi-choice ranking priority problem in multi-vehicle collision scenarios. This collision avoidance model of multi-agents model is feasible and effective, and can provide richer and closer-to-life virtual scene for driving simulator, reflecting real-life traffic environment more truly, this model can also promote the practicality of driving simulator.
Key words:
Analytic hierarchy process (AHP) Collision avoidance Decision-making model Driving simulator Virtual driving environment Agent Driving behavior |