Modeling and Simulation of Single Lane Taxi Boarding System Based on Queuing Theory

Authors

Sun Jian, 1. Management Institute China University of Mining and Technology(Beijing), Beijing 100083, China; ;2. Experimental Institute Beijing University of Technology, Beijing 101101, China; ;
Rijia Ding, 1. Management Institute China University of Mining and Technology(Beijing), Beijing 100083, China; ;
Yanyan Chen, 3. Beijing Key Laboratory of Traffic Engineering Beijing University of Technology, Beijing 100124, China;

Abstract

Abstract: Taxi pick-up area was described as a queuing system based on the GPSS language to establish a simulation model, to find out a new way to improve taxi traffic capacity. Vehicle release officer and passenger release officer were represented by logic switch object, such business logic as taxi producing, taxi entering, boarding, taxi leaving could be reappeared well in computer. The time which spent on the above processes were analysed and by video data. Multi wheel simulation experiments were carried out. Quantitative analysis was executed to find out how the traffic capacity are affected by the berth quantity and the fluctuation of boarding time. Two conclusions were drawn through simulation experiments：1. Quantitative relation between berth quantity and system capacity. 2. Equipped with waiters to help carry bulky luggage passengers could improve traffic capacity 15%.

Recommended Citation

Jian, Sun; Ding, Rijia; and Chen, Yanyan (2020) "Modeling and Simulation of Single Lane Taxi Boarding System Based on Queuing Theory," Journal of System Simulation: Vol. 29: Iss. 5, Article 9.
DOI: 10.16182/j.issn1004731x.joss.201705009
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss5/9

First Page

996

Revised Date

2016-12-06

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201705009

Last Page

1004

CLC

C93;TP308

Recommended Citation

Sun Jian, Ding Rijia, Chen Yanyan. Modeling and Simulation of Single Lane Taxi Boarding System Based on Queuing Theory[J]. Journal of System Simulation, 2017, 29(5): 996-1004.

DOI

10.16182/j.issn1004731x.joss.201705009