Modeling And Simulation Analysis Of Adaptive Cruise Control Sysyem In Urban Conditions

Adaptive Cruise Control system as an important part of advanced driver assistance systems,Provides a feasible solution to the problems of driving safety and traffic congestion caused by the rising car ownership.Traditional adaptive cruise systems are mostly suitable for high-speed sections,and their application range is limited,making it difficult to adapt to the complex driving environment of urban roads.This thesis studies the adaptive cruise control strategy and algorithm,and builds an adaptive cruise system control model suitable for urban conditions based on the d SPACE platform to improve the system’s ability to cope with urban complex road conditions.The paper uses the idea of hierarchical control to carry out overall planning for the design of the adaptive cruise system,combines the characteristics of urban roads to modularize the adaptive cruise system,and optimizes the control scheme of each module for different functional requirements.In the design of the decision-making control module,a safe distance model was built using the fixed workshop time algorithm to calculate the safe driving distance in real time.In order to further enhance the safety performance of the system,an emergency collision avoidance model was established using a state estimation algorithm based on the collision time,so that the system has the ability to deal with dangerous situations.In order to improve the system’s ability to adapt to curves,a curvature prediction model was designed based on the motion state of the host vehicle,and a real vehicle test environment was established to verify the reliability of the model.In the lower-level controller of the decision-making layer,the design of the drive control inverse model and the brake control inverse model is completed based on the expected acceleration value.In this paper,the adaptive cruise control algorithm is optimized and improved to improve the comfort of the system.The exponential decay function is introduced to optimize the traditional PID speed control algorithm,and the fuzzy PID control algorithm is used to improve the distance control in the following mode.Through simulation experiments,the optimized algorithm is compared with the traditional control algorithm,and the comfort of the optimized system is significantly improved.Based on dSPACE/ASM,the paper builds an adaptive cruise system joint simulation platform,and designs various simulation conditions to verify the adaptive cruise control strategy proposed in this paper.The simulation results show that the adaptive cruise control model established in this paper has good adaptability to complex urban road conditions.