Modeling the effect of bus stops on capacity of curb lane

Qingyu Luo (), Tianyao Zheng (), Wenjing Wu, Hongfei Jia () and Jin Li ()
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Qingyu Luo: School of Transportation, JiLin University, Changchun 130022, P. R. China
Tianyao Zheng: School of Transportation, JiLin University, Changchun 130022, P. R. China
Wenjing Wu: School of Transportation, JiLin University, Changchun 130022, P. R. China
Hongfei Jia: School of Transportation, JiLin University, Changchun 130022, P. R. China
Jin Li: School of Transportation, JiLin University, Changchun 130022, P. R. China

International Journal of Modern Physics C (IJMPC), 2018, vol. 29, issue 03, 1-20

Abstract: With the increase of buses and bus lines, a negative effect on road section capacity is made by the prolonged delay and queuing time at bus stops. However, existing methods of measuring the negative effect pay little attention to different bus stop types in the curb lanes. This paper uses Gap theory and Queuing theory to build models for effect-time and potential capacity in different conditions, including curbside bus stops, bus bays with overflow and bus bays without overflow. In order to make the effect-time models accurate and reliable, two types of probabilities are introduced. One is the probability that the dwell time is less than the headway of curb lane at curbside bus stops; the other is the overflow probability at bus bays. Based on the fundamental road capacity model and effect-time models, potential capacity models of curb lane are designed. The new models are calibrated by the survey data from Changchun City, and verified by the simulation software of VISSIM. Furthermore, with different arrival rates of vehicles, the setting conditions of bus stops are researched. Results show that the potential capacity models have high precision. They can offer a reference for recognizing the effect of bus stops on the capacity of curb lane, which can provide a basis for planning, design and management of urban roads and bus stops.

Keywords: Road capacity; public traffic; effect-time; potential capacity model (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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DOI: 10.1142/S0129183118500225

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