Modeling and Prediction of Bus Operation States for Bunching Analysis

Abstract

Bus bunching deteriorates transit service quality and passengers' experience. The modeling and prediction of bus operation states are essential for improving the quality of transit service. Due to the nature of traffic evolution and state transition, bunching-oriented modeling based on bus operation state is more intuitive when compared with the headway-based modeling approach. This work explicitly predicted bus operation state by modeling the dynamic evolution of different states. Five different bus operation states were defined and classified by the K-means algorithm, and the dynamic state evolution was formulated as a Markov chain model. Finally, a multinomial logistic model was developed to predict the bus operation state. A case study was designed to test the performance of the proposed model based on the Global Positioning System (GPS) trajectory data collected from four bus routes in Xi'an, China. The results showed that the proposed model was able to accurately predict the bus operation states.

Department(s)

Civil, Architectural and Environmental Engineering

Comments

This study is supported by the National Key Research and Development Program of China (No. 2018YFB1600900), the Shaanxi Provincial Science and Technological Project (Grant No. 2020JM-244), and the Science and Technology Project of Department of Transportation in Shaanxi Province (No. 19-24X).

Keywords and Phrases

Bus bunching; Bus operation state prediction; Headway variation; Markov chain; Public transit

International Standard Serial Number (ISSN)

2473-2907; 2473-2893

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2020 American Society of Civil Engineers (ASCE), All rights reserved.

Publication Date

01 Sep 2020

Link to Full Text

Share

 
COinS