•  
  •  
 

Journal of System Simulation

Abstract

Abstract: Aiming at the problem that the existing mesoscopic simulation models only convert buses into several standard vehicles and ignore the movement difference between buses and vehicles, a mesoscopic simulation model of mixed traffic flow is proposed. In the process of road driving, on the one aspect, we consider the feature that bus speed is usually lower than vehicle speed, and correspondingly establish the reduction function of bus speed; on the other aspect, we consider the influences of bus-station queue overflow on the adjacent lanes, and correspondingly construct the lane-based speed model of mixed flow.Moreover, we use the point queuing model to describe the processes of station stop and intersection queuing. The individual-based data from vehicle identity recognition to calibrate the model parameters is introduced. The experimental results show that the mean absolute percentage errors of link travel time simulation of buses and vehicles are respectively less than 4.55% and 8.20%, the proposed model has good simulation accuracy and can effectively simulate the bus-station overflow scenarios.

First Page

2019

Revised Date

2021-05-31

Last Page

2027

CLC

TP391.9

Recommended Citation

Yiting Zhu, Yun Yan, Zhaocheng He. Mesoscopic Modeling and Simulation of Mixed Traffic Flow of Buses and Vehicles[J]. Journal of System Simulation, 2022, 34(09): 2019-2027.

Corresponding Author

Zhaocheng He,hezhch@mail.sysu.edu.cn

DOI

10.16182/j.issn1004731x.joss.21-0286

Share

COinS