Evaluation Of Regional Driving Conditions Based On Vehicle Status

With the continuous development of society and transportation,traffic modes are becoming more and more diversified.The car is becoming more and more important in people's daily life.Traffic congestion and road safety problems have become a social problem which needs to be solved as soon as possible.The intelligent vehicle is of great importance in addressing traffic congestion and road safety issues which have attracted many researchers all around the world.Through the study of vehicle behavior and combination of Vehicular Cyber-Physical Systems(V-CPS),the assessment method of regional driving conditions is proposed in this thesis.The research results of this thesis are an important auxiliary driving technology,which have good scientific significance and excellent practical value.The main work of this thesis are as follows:First of all,methods of regional driving conditions evaluation are studied.A brief introduction is given to the developing path of vehicle safety and auto/auxiliary driving technology,moreover,vehicle clustering method is introduced in detail.Furthermore,study the architecture of V-CPS.Secondly,regional data processing method based on V-CPS platform is studied.Through analyzing the action of vehicles and its threat,vehicle clustering strategy based on risk center of gravity is put forward to have a real-time analysis of vehicle information in the cluster and evaluate the vehicle cluster.Then,method of threat evaluation for regional driving is proposed,which can provide basis for automatic/auxiliary travel path planning.Thirdly,based on the status of vehicles,method of calculation for road grid energy is proposed,besides,the thesis also propose a new method to construct the distribution of regional road threat.The above two methods are helpful for safety driving path planning.At last,the microscopic traffic flow model based on vehicle-following model and variable path model is presented by studying dynamic characteristics of traffic flow.The vehicle clustering method in this thesis is simulated and displayed by using AnyLogic platform,furthermore,real-time risk of regional driving conditions and vehicle is calculated and evaluated.MATLAB is used to plot the regional hazard map based on the data obtained above.