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Research On Guidance Control Strategy Of Connected Vehicles In Expressway Under Vehicle And Infrastructure Cooperation

Posted on:2024-06-19Degree:MasterType:Thesis
Country:ChinaCandidate:X Y LuoFull Text:PDF
GTID:2542307178992819Subject:Traffic and Transportation Engineering
Abstract/Summary:PDF Full Text Request
Internet of vehicles technology enables vehicles to achieve vehicle to road communication and vehicle to vehicle communication,improving road efficiency and safety.In the development process of connected vehicles,there will be a mixed traffic flow composed of connected vehicles and regular vehicles,making the traffic situation more complex and variable.This article studies the impact of lane guidance strategies at the entrance and lane change control strategies near the ramp on traffic efficiency based on the operational status of mixed traffic flow,providing a theoretical basis for traffic management of mixed traffic flow.First of all,the car-following mode of vehicles in mixed traffic flow is constructed based on the reaction time interval.At the same time,the anticipatory and mandatory lane change rules are constructed based on the MOBIL(minimizing overall braking induced by lane changes)discretionary decision model.In addition,the expressway control system with vehicle-infrastructure cooperation is constructed.The central control unit can obtain the basic driving conditions of road vehicles through roadside equipment.On the basis of obtaining the number of different types of vehicles through the processing of the central controller,a steady-state speed prediction model for traffic flow is constructed based on the criteria for vehicle stability and the length of the road covered by the traffic flow.A lane guidance strategy is proposed by combining the steady-state speed,the type of tail vehicle on the road,and the expected speed,to select a lane for the connected vehicle that is more in line with the expected driving state.At the same time,the formation rate of the fleet is increased,and the road traffic efficiency is improved.Then,based on the anticipatory and mandatory lane changing behavior characteristics of vehicles,average acceleration prediction models for anticipatory and mandatory lane changing sections are established,and the average speed of the overall lane changing area is estimated.Lane changing control strategies are proposed based on lane changing safety criteria and vehicle expectations.Vehicles that need to enter the ramp can reduce the difficulty and time increase of lane changing by changing lanes in advance,while avoiding vehicles on the main road entering crowded sections.Finally,the effectiveness of the strategy was verified through MATLAB simulation.The results showed that compared with the dedicated lane and spacing selection strategies,the guidance strategy can improve the efficiency of vehicle flow under different penetration rates and vehicle arrival rates;The lane change control strategy can balance the traffic density of the two lanes,reduce traffic flow oscillation,and increase travel speed;The traffic flow that implements both vehicle guidance strategy and lane change control strategy operates best in the expected and forced lane change areas.
Keywords/Search Tags:Mixed traffic flow, Vehicle-infrastructure cooperation, Lane guidance, Connected vehicles, Lane change control
PDF Full Text Request
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