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Title: Bus Travel Time Deviation Analysis Using Automatic Vehicle Location Data and Structural Equation Modeling
Authors: Gong, X
Guo, X
Dou, X 
Lu, L
Keywords: Bus transportation
Traffic control
Traffic signals
Automatic vehicle location systems
Automatic vehicle locations
Estimation results
Exogenous variables
Schedule recovery
Signalized intersection
Structural equation modeling
Travel time variabilities
Travel time
Issue Date: 2015
Publisher: Hindawi Publishing Corporation
Citation: Gong, X, Guo, X, Dou, X, Lu, L (2015). Bus Travel Time Deviation Analysis Using Automatic Vehicle Location Data and Structural Equation Modeling. Mathematical Problems in Engineering 2015 : 410234. ScholarBank@NUS Repository.
Rights: Attribution 4.0 International
Abstract: To investigate the influences of causes of unreliability and bus schedule recovery phenomenon on microscopic segment-level travel time variance, this study adopts Structural Equation Modeling (SEM) to specify, estimate, and measure the theoretical proposed models. The SEM model establishes and verifies hypotheses for interrelationships among travel time deviations, departure delays, segment lengths, dwell times, and number of traffic signals and access connections. The finally accepted model demonstrates excellent fitness. Most of the hypotheses are supported by the sample dataset from bus Automatic Vehicle Location system. The SEM model confirms the bus schedule recovery phenomenon. The departure delays at bus terminals and upstream travel time deviations indeed have negative impacts on travel time fluctuation of buses en route. Meanwhile, the segment length directly and negatively impacts travel time variability and inversely positively contributes to the schedule recovery process; this exogenous variable also indirectly and positively influences travel times through the existence of signalized intersections and access connections. This study offers a rational approach to analyzing travel time deviation feature. The SEM model structure and estimation results facilitate the understanding of bus service performance characteristics and provide several implications for bus service planning, management, and operation. © 2015 Xiaolin Gong et al.
Source Title: Mathematical Problems in Engineering
ISSN: 1024-123X
DOI: 10.1155/2015/410234
Rights: Attribution 4.0 International
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