Do Not Pass Warning System Based On V2X

After decades of rapid development in our country’s road traffic,highway mileage has increased rapidly,most of which,however,are still low-grade roads with two lanes.Compared with urban roads and highways,the overtaking process on this two-way road is more dangerous with more urgent situation.Because the vehicle has a long initial distance and relatively high speed during reverse overtaking,traditional vehicles based on on-board perception systems cannot provide early warning for such extreme scenarios.In addition,the driver’s vision field is limited when overtaking,unable to fully obtain the position and speed information of the vehicle in front.The overtaking behavior made in the case of incomplete information is very dangerous.Therefore,early warning of reverse overtaking scenes has a greater challenge.At the same time,C-V2 X technology provides the feasibility for the realization of the reverse overtaking early warning algorithm by virtue of its low delay,high speed and other reliability factors.This article conducts an in-depth analysis of reverse overtaking scenarios to promote the in-depth application of the Internet of Vehicles technology in improving vehicle safety,economy and transportation system efficiency,including the following innovations:1)This paper proposes a Do Not Pass Warning(DNPW)algorithm for assisted driving,and proposes the concept of the minimum overtaking distance for reverse overtaking for the purpose of improving road traffic safety,and thus proposes the danger coefficient of reverse overtaking.The coefficient quantifies the degree of danger during reverse overtaking.This article analyzes the reverse overtaking scenario and the traditional overtaking scenario,clarifies the main risk factors in the reverse overtaking process,and shows the triggering conditions of the reverse overtaking warning algorithm.2)When analyzing the minimum overtaking distance of reverse overtaking,the process of reverse overtaking is embodied into two parts: overtaking process and merging process.In the overtaking process considering the safety distance,the vehicle’s driving distance during the overtaking process is calculated according to the road scene and the movement state of the vehicle.According to the extreme scene in the merging process of reverse overtaking,that is,when the vehicle is decelerating at the maximum deceleration,the distance of the vehicle in the longitudinal lane is calculated.The minimum overtaking distance is a combination of the two distances calculated during the overtaking process and the merging process.In the merging process of reverse overtaking,the situation of the vehicle avoiding the preceding vehicle when merging back to the original lane is also considered.On the premise of retaining sufficient safety distance,this paper analyzes and calculates the different motion states of the preceding vehicle in the original lane,and proposes the minimum merging distance for the merging process and the merging risk factor.3)This article builds a virtual test scene in the vehicle simulation software.Set various parameters such as speed,location and direction of participants in the traffic environment,and create different test cases according to different combinations of parameters.By observing the driving state of the vehicle when the risk factor of reverse overtaking is at the absolute critical value in the simulation process,it can be seen that the motion state of the tested vehicle conforms to the theoretical analysis.The final simulation experiment results are consistent with the algorithm prediction results,indicating that the reverse overtaking risk coefficient proposed in this paper is feasible and has corresponding reference value for the prediction of dangerous scenes in the reverse overtaking process.