Delay Model of Vehicles at Urban Road Drop-off Area

Authors

Lifan Zhang, 1. Beijing advanced innovation center for future urban design, Beijing University of Civil Engineering and Architecture, Beijing 100044, China; ;
Pengpeng Jiao, 1. Beijing advanced innovation center for future urban design, Beijing University of Civil Engineering and Architecture, Beijing 100044, China; ;
Mingkai Si, 2. First Design Institute, Beijing General Municipal Engineering Design & Research Institute Co., Ltd., Beijing 100082, China;

Abstract

Abstract: A model for calculating the delay of the drop-off vehicles at urban road drop-off area is proposed. The traffic organization modes of the independent drop-off area and the road drop-off area are analysed. The “queue up to drop off” mode process is divided into two stages, a delay model of drop-off vehicle based on queuing theory and gap theory is established, and an optimization algorithm is presented. Taking the entrance section of Anzhen Hospital in Beijing as the test object, the model is tested by VISSIM simulation software and real survey data. The influence of drop-off rate and drop-off area length on vehicles delay is analyzed. The results show that the model can predict the traffic state of the drop-off area and the drop-off vehicle delay accurately, which provides a more reliable basis for the optimal settings of urban road drop-off area.

Recommended Citation

Zhang, Lifan; Jiao, Pengpeng; and Si, Mingkai (2020) "Delay Model of Vehicles at Urban Road Drop-off Area," Journal of System Simulation: Vol. 32: Iss. 9, Article 24.
DOI: 10.16182/j.issn1004731x.joss.19-0144
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss9/24

First Page

1839

Revised Date

2019-07-03

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-0144

Last Page

1846

CLC

U491.2

Recommended Citation

Zhang Lifan, Jiao Pengpeng, Si Mingkai. Delay Model of Vehicles at Urban Road Drop-off Area[J]. Journal of System Simulation, 2020, 32(9): 1839-1846.

Corresponding Author

Pengpeng Jiao,

DOI

10.16182/j.issn1004731x.joss.19-0144