Study On Lane Allocation Of Expressway Main Toll Station Under Abnormal Events

In recent years,the continuous improvement and upgrading of highway network toll collection and ETC technology has effectively alleviated the congestion of toll stations and improved the efficiency of highway system.However,the increasing traffic volume still causes the congestion of toll stations.The main line toll station often results in transaction failure due to abnormal events,such as the removal of OBU,OBU failure,insufficient balance,too close to the rear vehicle,too fast speed and blacklist,etc.The occurrence of abnormal events will greatly reduce the capacity of the main line toll station,increase the queuing time and driving delay of vehicles,and form the traffic bottleneck of the toll station.Due to the randomness of abnormal events in time and space,it is difficult to capture the relevant information of abnormal events in time.At the same time,the insufficient historical data of abnormal vehicle events at the main toll station makes the research more difficult.At present,the processing of abnormal events is limited to post-event processing,and no preparatory plan has been set up in advance.This paper focuses on analyzing the internal mechanism of abnormal events,and proposes countermeasures to minimize the impact of abnormal events.According to the regulation of toll station operation management,the traffic characteristics of toll station area are analyzed.Taking Gaoxinnan main line toll station of Jiuyong Expressway as an example,the traffic characteristics such as traffic volume and vehicle composition characteristics of the toll station are analyzed statistically.According to the traffic abnormal event data provided by toll station operation management personnel,the occurrence types and countermeasures of abnormal events are analyzed in detail.Based on the analysis of the upstream section of toll station area and driver behavior,the capacity of ETC lane and MTC lane under normal conditions is calculated by using the minimum headway and M/G/K queuing theory,which lays a foundation for the impact analysis of subsequent abnormal events.Based on the analysis of the internal mechanism of the occurrence,duration and dissipation of abnormal events,the traffic wave theory is used to study the dissipation of abnormal events.Firstly,based on Van Aerde model,the queue length caused by abnormal events of main toll station is predicted.Then,according to the continuous process of abnormal events,the cases with unconditional lane change to adjacent lanes are discussed.The probability and duration of abnormal events are used to analyze the reduction of traffic capacity caused by abnormal events,and the average vehicle delay model under abnormal events is established.Finally,the model is verified by simulation modeling,which proves that the model has high accuracy.Finally,according to the relationship between the queue length of vehicles and traffic capacity,the service level was divided according to the queue length of vehicles.Under the condition of ensuring the B-level service level,the opening and closing configuration model of mixed lane based on queue length was constructed.The relationship between the three factors that affect the length of vehicle queue and the number of lane allocation is analyzed.Based on the mixed lane opening and closing model,the improvement scheme of diversion ETC lane under peak flow is proposed.Through the simulation verification of the hybrid lane opening and closing model and lane improvement scheme,the average vehicle delay is reduced by 56.3% and the lane queue length by 9.51% after the optimization of the time-segment lane configuration,and the applicable traffic volume scenarios of the two lane improvement schemes are obtained,which can effectively relieve traffic congestion.