Anthropomorphic random lane changing driving behavior modeling method

A modeling method and anthropomorphic technology, applied in the field of human driver modeling, can solve the problems of poor interaction, insignificant test effect, integration, etc., and achieve the effect of randomness, simple calculation and strong portability

Pending Publication Date: 2021-11-30
JILIN UNIV
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Problems solved by technology

However, the anthropomorphic random lane-changing driving behavior model that integrates the three modules of lane-changing decision, lane-changing planning and lane-changing execution is still blank in the field of lane-changing models, and human psychological factors a...

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  • Anthropomorphic random lane changing driving behavior modeling method
  • Anthropomorphic random lane changing driving behavior modeling method
  • Anthropomorphic random lane changing driving behavior modeling method

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Embodiment Construction

[0056] The invention proposes an anthropomorphic random lane-changing driving behavior modeling method. In the lateral lane change driving scenario, the lane change trajectory generation method considers the human driver's lane change psychological motivation / driving style and associated driving style during the lane change process, such as "following the car tolerance", "lane change politeness", etc. As well as anthropomorphic features such as preview execution, a full-chain anthropomorphic lane-changing process probability model covering motivation, rational decision-making, and preview execution is established, realizing the anthropomorphic effect of the lane-changing model. Invented a parameterized mathematical description and identification method for the driver's "following tolerance", "lane-changing politeness" and other psychological motivations / driving styles for lane-changing, which solved the problem of difficult anthropomorphic feature extraction in lane-changing sc...

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Abstract

The invention discloses an anthropomorphic random lane changing driving behavior modeling method, and belongs to the technical field of human driver modeling. The invention aims to provides a lane changing track generation method which considers lane changing psychological motivations/driving styles and associated driving styles of a human driver in a transverse lane changing driving scene, such as 'car following tolerance ', 'lane changing comity' and the like, and anthropomorphic characteristics of preview execution and the like in a lane changing process. A full-chain anthropomorphic lane changing process probability model covering motivation excitation, rational decision and preview execution is established, and the anthropomorphic random lane changing driving behavior modeling method of the anthropomorphic effect of a lane changing model is achieved. A lane changing scene driving segment database logic extraction module, a lane changing psychological motivation module, a stylized lane changing track planning module and a lane changing preview execution module are included. According to the method, the problem of difficulty in anthropomorphic feature extraction in a lane changing scene is solved, and the usability, effectiveness and anthropomorphic effect of a lane changing model are improved.

Description

technical field [0001] The invention belongs to the technical field of human driver modeling. Background technique [0002] Driver behavior modeling in typical scenarios such as car following and lane changing is an important topic in the field of autonomous driving research. In the development process of autonomous driving technology, the scene of autonomous driving vehicles and human-driving vehicles will last for a long time. The reaction behavior of human-driven vehicles to the surrounding traffic conditions directly affects the decision-making behavior of autonomous vehicles. Lane changing is the most typical scene in the process of vehicle driving, and the establishment of an anthropomorphic random lane changing driving model is an important link in the research of driver behavior, the development of automobile intelligent assisted driving system and its safety evaluation. [0003] Lane-changing model establishment includes lane-changing decision-making, lane-changin...

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Application Information

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IPC IPC(8): G06F30/15G06F30/20G06F111/08G06F119/14
CPCG06F30/15G06F30/20G06F2111/08G06F2119/14
Inventor 刘震宫洵曲婷胡云峰陈虹李勇
Owner JILIN UNIV
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