Study On Intersection Vehicle Driving Assistance System

In the areas with low traffic volume and not locating city center,the car drivers could reach the next intersection quickly after they pass an intersection.There will be three scenes in this process.Firstly,the drivers arrive at the next intersection with an appropriate speed and then pass the intersection exactly.Secondly,the drivers arrive at the next intersection with an appropriate speed at the stop lights.They have to stop and wait because they couldn't pass the intersection even acceleration.Thirdly,the green light just turn to red light when the cars arrive at the next intersection with a high speed and the drivers must immediately brake.The drivers who were between two intersections couldn't see the real-time status of the traffic lights of the second intersection even the traffic lights with countdown device when the distance from the drivers to the traffic lights is far.The drivers can only coast or brake immediately at the red light considering the inertia and characteristics of the vehicles.Therefore,the drivers need the optimal speed induction which is a kind of driving behavior optimization strategy to make the vehicles maintaining a relatively stable speed when they pass an intersection.In order to help the drivers to solve these problems,this paper brings forward the system of vehicle auxiliary driving based on the development of the intelligent traffic system,especially internet of vehicles technology to realize the automatic driving of the vehicle.This paper mainly uses modern information technology,vehicle positioning technique,distance measurement technique and Android software implement the system.The main content is as follows:(1)Design of the system of automobile auxiliary driving at intersections.The applicable conditions and structure principles of the system were determined on the research of types,functions,composition factors of intersections,the basic requirement of the intersection and the expectations of the drivers.Then the obstacle recognition module based on laser ranging sensor was presented to provide protection for safe driving.(2)Precise positioning module for vehicle.It needs to improve the accuracy of vehicle positioning in order to ensure the accuracy of the induced velocity provided by the auxiliary driving system.This paper used space linear constraint algorithm which based on the latitude and longitude information of roads and intersections to improve the vehicle positioning accuracy,which was described in detail.Finally,it was proved that the algorithm can improve the positioning accuracy greatly and meet the requirements of theauxiliary drive system.(3)The algorithm of vehicle auxiliary driving.In this paper,the principle of driving strategy and how to determine the driving strategy were analyzed.Speed guidance algorithm through the establishment of the objective function(travel time,delay time,the cost of fuel consumption),and the main constraint is just through the intersection.When the value of the objective function is minimal,the solution is the guidance speed.The feasibility judgment of guidance speed include the speed limit,the plus and minus speed,the impact of the previous car.The guidance speed which is feasible is provided to the driver and help the driver to go through the intersection smoothly.(4)Development and experimental analysis of system.With the Android smart phones widely used,the auxiliary driving system used the Android smart phones as operating platform to design the system.The system included function module design,service libraries,system implementation and so on.Then the experimental platform including test equipment,test sites and the required data was built based on the design of the software.Finally the validity and practicability of the auxiliary driving system were proved through field tests.