Collaborative Vehicle Longitudinal Safety Distance Model Based on Driving State Estimation

Tang, Ziqiang; Gong, Xun; Pan, Yong; Tang, Chao; Wang, Weilin

doi:10.1061/jhtrcq.0000573

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2020

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“…Some scholars established the vehicle safety distance model based on braking process to design an active collision avoidance algorithm for rearend collision. [4][5][6][7] Algorithm considers the extreme conditions that forward obstacle stops suddenly, which may lead to frequent false alarms. Also, some scholars propose an active collision avoidance algorithm based on collision time safety distance model.…”

Section: Introductionmentioning

confidence: 99%

Research on active collision avoidance algorithm for intelligent vehicle based on improved artificial potential field model

Yuan

Weng

Shen

et al. 2020

International Journal of Advanced Robotic Systems

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In this article, an active collision avoidance based on improved artificial potential field is proposed to satisfy collision avoidance for intelligent vehicle. A longitudinal safety distance model based on analysis of braking process and a lane-changing safety spacing model based on minimum time of lane changing under the constraint of sideslip angle are presented. In addition, an improved artificial potential field method is introduced, which represents the influence of environmental information with artificial force. Simulation results demonstrate the superior performance of the proposed algorithm over collision avoidance for intelligent vehicle.

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Section: Introductionmentioning

confidence: 99%