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.
Recommended Citation
Zhu, Yiting; Yan, Yun; and He, Zhaocheng
(2022)
"Mesoscopic Modeling and Simulation of Mixed Traffic Flow of Buses and Vehicles,"
Journal of System Simulation: Vol. 34:
Iss.
9, Article 11.
DOI: 10.16182/j.issn1004731x.joss.21-0286
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss9/11
First Page
2019
Revised Date
2021-05-31
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.21-0286
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.
DOI
10.16182/j.issn1004731x.joss.21-0286
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