A Study On The Forced Lane-changing Of Vehicles In The Freeway Traffic Accident Affected Area Under The Internet Of Vehicles

With the continuous development of network technology,as one of the main parts of the network,the vehicle has gradually become an intelligent information service terminal.Vehicle data information is collected through wireless communication technologies such as Wi-Fi and Bluetooth,automobiles Positioning technology,information security technology,etc.and uploaded to the cloud platform for processing and feedback.The formation of cars and people,cars and cars,cars and roads,cars and urban infrastructure of intelligent network connection,that is,Internet of Vehicles system.The continuous development of the Internet of Vehicles system and the widespread popularity of autonomous driving are also just around the corner,but vehicle safety is still an important part that cannot be ignored.How to use the information obtained under the Internet of Vehicles to make safe and efficient lane changes is currently the focus of research.In the traditional manual lane change research,the driver basically relies on his own experience and vision to make judgments about road conditions,while in the Internet of Vehicles environment,more real-time information can be obtained by the vehicle through communication technology to choose better routes and avoid hazards effectively.In current lane-changing studies,most of them take bicycles as the research object,and more research is on free lane-changing,rarely involving scenes that require forced lane-changing.Therefore,this paper studys how all vehicles affected by the accident during the accident duration can use the real-time information for forcefully change lanes safely and efficiently to through the accident area after the traffic accident on the expressway in the Internet of Vehicles environment.This paper analyzes the existing vehicle lane-changing decision model,proposes an optimized vehicle lane-changing method,and studies lane-changing problems in a lane-closing scenario after a one-way two-lane freeway and one-way three-lane freeway accident,the question is about driverless vehicles in a connected vehicle environment.First,according to the real-time information obtained in the Internet of Vehicles environment and the service level requirements of the bottleneck road,the optimal speed of the vehicle passing through the accident point is determined,the propagation process of the vehicle deceleration after the accident point is analyzed,and the accident impact zone model is constructed based on the vehicle wave theory,and the length of the accident impact zone and the number of vehicles in the impact zone are determined.Secondly,with the constraints of minimum safety distance,etc.,the single lane change point model and the following lane change point model on the accident lanes of the one-way two-lane and three-lane freeway accident areas are constructed respectively.Compared with the two-lane freeway,when one lane is closed after the accident,the lane change model of the three-lane expressway needs to consider the choice of the target lane.Finally,the goal of minimizing the sum of the longitudinal lane-changing distances traveled by all lane-changing vehicles at the beginning of lane-changing,an optimal choice model of lane-changing points considering lane-changing with the vehicle is established,the safe changeover point,changeover mode and target lane of all vehicles are optimized.Finally,an example of the lane change model established in two different scenarios is analyzed,and the influence of different initial flow and initial speed on vehicle lane change is considered,and the feasibility of the model is verified.The results show that changes in initial flow and initial speed will significantly affect the choice of lane change point,lane change method and target lane.