Safety Verification of Driving Resource Occupancy Rules Based on Functional Language

Author:

Hu Zhixi,Zhu YiORCID,Chen Xiaoying,Zhao YuORCID

Abstract

Autonomous driving is a safety-critical system, and the occupancy of its environmental resources affects the safety of autonomous driving. In view of the lack of safety verification of environmental resource occupation rules in autonomous driving, this paper proposes a verification method of automatic driving model based on functional language through CSPM. Firstly, the modeling and verification framework of an autopilot model based on CSPM is given. Secondly, the process algebra definition of CSPM is given. Thirdly, the typical single loop environment model in automatic driving is abstracted, and the mapping method from automatic driving model to CSP is described in detail for the automatic driving environment and the typical collision, overtaking, lane change and other scenes involved. Finally, the autopilot model of the single loop is mapped to CSPM, and the application effect of this method is discussed by using FDR tool. Experiments show that this method can verify the safety of autonomous driving resources, thereby improving the reliability of the autonomous driving model.

Funder

National Natural Science Foundation of China

the Open Project Fund of Key Laboratory of Safety-Critical Software Ministry of Industry and In-formation Technology

Publisher

MDPI AG

Subject

Computer Networks and Communications

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