Research On The Deployment Of Joint Dedicated Lanes For Connected Autonomous Vehicles And Buses

In recent years,Connected Autonomous Vehicles(CAVs)are developing rapidly.CAVs and human-driven vehicles(HVs)will remain in a hybrid state for a long time.Providing CAVs with separate rights of way will reduce the cost of their own equipment and allow them to take full advantage of the benefits of CAVs.However,in the early stages of CAV development,building separate dedicated lanes will face problems such as high costs and under-utilization of dedicated lanes.Considering the phenomenon of under-utilization of bus lanes in urban road networks,it is of great application value to design joint dedicated lanes for both buses and CAVs by combining their demands for dedicated lanes.This thesis proposes a joint dedicated lane for CAVs and buses in a networked environment,and investigates the microscopic deployment conditions and macroscopic deployment methods of the joint dedicated lane,with the aim of providing an optimization method for mixed traffic flow road networks and a reference for improving the efficiency of the road network traffic system.in a networked environment.Deployment condition benefit evaluation of joint CAVs and buses joint dedicated lanes.Based on the characteristics of the mixed traffic flow,the strategy of joint dedicated lanes for CAVs and buses is proposed.And the conditions for joint dedicated lanes are initially analyzed.The evaluation indexes and methods of the joint dedicated lane are designed,and a meta-cellular automata simulation model is established to simulate three different scenarios of road sections with port stops taking no lanes,or bus lanes,or joint lanes.The evaluation results show that the construction of joint dedicated lanes can optimize the road network structure and improve the capacity.It ensures the efficiency of buses and CAVs traffic when the road is congested,while avoiding the waste of road resources.At the same time,the deployment conditions are obtained.When the density of the road section is small,the construction of joint special roads is better when the proportion of CAVs needs to exceed 20% in road sections.When the road section density is larger,the proportion of CAVs in road sections does not exceed 70% of the construction is better.CAVs and buses joint dedicated lane deployment planning model.Construct a mixed-flow traffic network in a networked environment,study the impact of CAVs on the capacity of road sections,and analyze the broad travel costs.Develop a multiprinciple traffic assignment model under mixed flow and analyze the nature of the model solution.Design a bi-level program model for joint dedicated lanes,with the lower level aiming at traffic equilibrium and the upper level aiming at minimizing the total system cost.A genetic algorithm based on the diagonalized F-W algorithm is proposed to solve the joint dedicated roadway bi-level program model.This thesis verifies the joint lane deployment conditions and deployment methods based on numerical examples.The Nguyen-Dupuis network and related data are selected,and the proposed deployment model and solution algorithm are applied to validate the results.The results show that,the deployment of joint dedicated lanes requires comprehensive consideration of the flow and proportion of various types of vehicles in the road network and road sections,applying the deployment model proposed,the construction of joint dedicated lanes can reduce the total system travel cost,reduce the cost of bus trips and increase the bus share,and promote the development of CAV to increase the penetration rate of CAV.