Study On Vehicle Forward Collision Avoidance Early Warning System Based On Driver And Environment Characteristics

The rapid development of automobiles as a convenient means of transportation has also led to frequent traffic accidents.With the development of intelligent transportation systems,automotive active safety technology has also become a research hotspot.As a kind of advanced assisted driving technology,the Forward Collision Avoidance Warning System can effectively prevent rear-end collisions.It is important in reducing the occurrence of traffic accidents,improving driving safety,and promoting the development of intelligent transportation.significance.However,at present,there are many problems such as low accuracy of safety distance model,and insufficient consideration of driver and environmental characteristics,so it is necessary to carry out corresponding research on collision avoidance warning system.Forward Collision Avoidance Warning System model based on the driver and environment characteristics is built.First of all,the vehicle braking process and the typical safety distance model are quantitatively analyzed.Taking the moment when the two vehicles reach the same speed as the safety critical point,the warning and braking distance models are established under the conditions of the front vehicle in stationary,constant speed and decelerating conditions.The influence parameters of the safety distance model are analyzed.In order to improve the accuracy and applicability of the model,the safe distance model based on driver characteristics and environmental factors is proposed.Taking the driver’s reaction time as the breakthrough point,the influencing factors were analyzed and the eigenvalues were selected.The fuzzy control theory was used to establish the variable driver’s reaction time and the minimum safe distance considering road adhesion coefficient;By analyzing the influence of vehicle speed and vehicle distance changes on the headway time under car following conditions.The expected headway is improved and variable headway is obtained by fuzzy control.The results show that the improved safety distance model can adapt to the changes of different drivers and dynamic environment.Secondly,Carsim software is used to build vehicle dynamics and inverse dynamics system model.The integral separation PID controller takes the overall model of the vehicle as the control object to complete the tracking control of the distance and expected acceleration,and the desired throttle opening and brake pressure are obtained through the throttle/brake switching logic to realize the drive/brake control of the vehicle.The safety state is judged according to the driving conditions of the preceding vehicle,and the forward anti-collision warning control strategy model is established.Finally,a joint simulation system was built through Matlab/Simulink and Carsim software.To design simulation tests for the target vehicle under stationary,constant speed,and deceleration conditions according to the driving state of the preceding vehicle.The results show that the safety distance model based on driver and environmental characteristics is reasonable and the forward collision warning system control model is accurate and reliable.When the dangerous target ahead is identified,it can give an early warning within the set safe distance,and promptly brake after reaching the dangerous distance to ensure driving safety.The system improves the accuracy of the safety vehicle distance model and the driving safety,which is of practical significance to avoid the collision of the vehicle effectively.