Safe Speed Assistance System Coordinating Driver-Vehicle-Road For Curve

Intelligent Speed Assistance(ISA)system has been proved to improve vehicle safety and reduce drivers' workload effectively.However,existing speed assistance system can't adjust its speed according to the variation of road conditions or the speed risk of the individual driver,and its simple assistance algorithm is difficult to meet the demand of the actual driving conditions.The applicability of the system is much lower.To address these problems,this thesis proposes a curve speed assistance system synthesizing "person","vehicle",and "road".First,the driver's curve characteristics are analyzed base on the field experimental data.Second,a method computing safe speed for curves is studied considering driver characteristics,vehicle and road conditions.Furthermore,a assistance algorithm is designed taking safety driving and ride comfort for different curves.Finally,the system's performances are validated with driving simulator.To verify the research necessity of the curve speed assistance system,and make the system's performance meet driver's actual driving request,an experimental platform is developed,and driver's curve characteristics are analyzed base on the field experimental data.The state parameters'distributions of vehicle are described mainly by feature extraction and analysis of variance,driving decision of speed is analyzed under curve conditions.A safe speed computing algorithm integrating "person","vehicle" and "road" information is developed to judge the overspeed risk and ensure safety.A mathematical safe speed model is set up based road parameters with the goals of safe driving and two other parameters separately reflecting driver's characteristics and vehicle states are both introduced in the model.Adhesion workload which can reflect the ratio of the friction coefficient used by drivers is introduced to modify the mathematical safe speed model based Neural Network so that the safe speed standard can accord with the risk awareness of the individual driver.To improve the acceptability and comfort of the curve speed assistance system,the thesis proposes a multi-objective coordinated assistance algorithm.Aiming at the straight road scenario ahead of curve,a dynamic hierarchical algorithm is established with the goals of safe driving and ride comfort.Aiming at the curve road scenario,a assistance algorithm according with the actual speed adjustment of drives is designed using risk state estimation functions.The assistance algorithm can adjust its form along with the variation of the curve radius.To verify the validity of the curve speed assistance system,five specified curve scenario are designed with driving simulator.It is concluded that compared with the existing speed assistance system,the proposed curve speed assistance system can effectively and timely assist driver to adjust his actual speed,and it can enhance vehicle safety and ride comfort.