Journal of Jilin University(Engineering and Technology Edition) ›› 2022, Vol. 52 ›› Issue (7): 1515-1523.doi: 10.13229/j.cnki.jdxbgxb20210118

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Collision avoidance trajectory planning for intelligent vehicles in emergency conditions

Wei ZHANG(),Shu-pei ZHANG(),Chong-en LUO,Sheng ZHANG,Guo-lin WANG   

  1. School of Automotive and Traffic Engineering，Jiangsu University，Zhenjiang 212013，China
  • Received:2021-02-05 Online:2022-07-01 Published:2022-08-08
  • Contact: Shu-pei ZHANG E-mail:zhangwei@ujs.edu.cn;zhangsp@ujs.edu.cn

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Abstract:

The mandatory stability constraints of the existing trajectory planning methods lead to insufficient utilization of the vehicle's collision avoidance potential. This makes it impossible to plan an effective collision avoidance trajectory for intelligent vehicles under certain critical conditions. Aiming at this practical problem， this paper proposes the concept and definition method of emergency conditions， and based on the optimal control theory， integrates nonlinear vehicle dynamics model， stability domain information and environmental information， and considers the saturation constraints of the vehicle steering actuator to develop a method for planning the collision avoidance trajectory of intelligent vehicles under emergency conditions. The simulation results show that this method can accurately plan the safe collision avoidance trajectory when the vehicle is in a critical steady state under emergency conditions， and it has good applicability on different roads， which provides strong theoretical support for the development of collision avoidance control systems for intelligent vehicles.

Key words: transportation system engineering, intelligent vehicle, emergency conditions, trajectory planning

CLC Number: 

  • U491

Fig.1

Schematic diagram of division of feasible collision avoidance areas"

Fig.2

Two-degree-of-freedom vehicle model"

Fig.3

β-dβ phase plane diagram for different roadadhesion coefficients"

Fig.4

Size of stability region changes with road adhesion coefficient"

Fig.5

β-dβ phase plane diagram at different longitudinal vehicle speeds"

Fig.6

Size of stability region changes with longitudinal speed"

Fig.7

β-dβ phase plan view at different front wheel angles"

Fig.8

Size of stability field varies with front wheel angle"

Table 1

Simulation conditions"

工况

道路附着

系数

车速/

（km·h-1）

方向盘输入

幅值/（°）

I0.812020
II0.8120120
III0.38020
IV0.380120

Fig.9

Simulation curve of working condition I"

Fig.10

Simulation curve of working condition II"

Fig.11

Collision avoidance scene"

Table 2

Values of simulation parameters"

参数单位值
mkg1723
lfm1.232
lrm1.468
Izkg·m24175
bm1.988
dfm1.8
drm2.2
τ-1.02
Dsm0.1

Fig.12

Time domain response of collision avoidance trajectory and dynamic index under dry concrete pavement"

Fig.13

Stability comparison at different vehicle speeds （dry concrete pavement）"

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