Expressway traffic capacity cooperative regulation and control method based on lane dynamic allocation of CAVs mixed traffic flow

Abstract

The invention discloses an expressway traffic capacity cooperative regulation and control method based on lane dynamic allocation of CAVs mixed traffic flow, wherein the method comprises the steps: setting a special lane for a networked automatic driving vehicle on an expressway under the condition that the networked automatic driving vehicle CAVs has certain market permeability, and through the constraint of multiple factors, establishing an integer nonlinear lane dynamic allocation model; and dynamically adjusting the distribution of lane rights and the driving data of the vehicle, outputting a change curve of the traffic capacity of the expressway, selecting an optimization solution, feeding back to a traffic control platform, and dynamically adjusting an expressway lane distribution scheme and vehicle driving data management and control in time to realize cooperative regulation and control of the traffic capacity of the expressway. According to the method, the CAVs special lane isreasonably arranged to separate the mixed traffic flow, and meanwhile, the influence of the road service level and a confluence area on the road is considered, so that the designed traffic capacity ofthe basic road section of the expressway meets the actual traffic requirements, and the purposes of improving the traffic efficiency and the traffic safety are achieved.

Description

Technical field[0001]The invention belongs to the technical field of intelligent transportation, and relates to a method for coordinated regulation and control of expressway capacity based on the dynamic allocation of CAVs mixed traffic flow lanes.Background technique[0002]In recent years, Connected and Automated vehicles (CAVs) have gradually entered the actual road from the test site. It has become a consensus that a single CAVs traffic flow can improve the efficiency, safety, and fuel efficiency of expressways. Popularization does not happen overnight, during which it needs to go through a long period of mixed traffic flow (HMVs and CAVs) where CAVs and HMVs are mixed.[0003]The characteristics of mixed traffic flow and its safety are still unclear. Most of the current researches on the characteristics of mixed traffic flow are based on simulation experiments or numerical models. The disadvantage is that it is not easy to characterize the randomness of vehicle driving, and the res...

AI Technical Summary

Problems solved by technology

In the prior art, there is no expressway traffic capacity for the dynamic allocation of lanes of CAVs mixed traffic flow established by combining complex conditions such as the penetration rate of CAVs (MPRs), CAVs lane management (road network and lanes), and the randomness of traffic conditions. collaborative regulation method

[0008] Therefore, in order to expand the mixed traffic flow lane management strategy and make up for the overly optimistic results of the analytical model, it is necessary to propose a collaborative control method for expressway capacity based on the dynamic allocation of lanes for CAVs mixed traffic flow. Traffic flow, while considering the road service level and the impact of the merge area on the road, so that the design capacity of the basic section of the expressway can meet the actual traffic demand, achieve the purpose of improving traffic efficiency and traffic safety, and provide important information for the future mixed traffic flow management of the expressway. It can also provide a theoretical basis for the calculation of the theoretical capacity of expressways

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