Paper Info
Title
Estimation of delay variability at signalized intersections for urban arterial performance evaluation
Abstract
Urban arterial performance evaluation has been broadly studied, with the major focus on average travel time estimation. However, in view of the stochastic nature of interrupted flow, the ability to capture the characteristics of travel time variability has become a critical step in determining arterial level of service (LOS). This article first presents a stochastic approach that integrates classic cumulative curves and probability theories in order to investigate delay variability at signalized intersections, as a dominant part of the link travel time variability. This serves as a basis for arterial travel time estimation, which can be obtained through a convolution of individual link travel time distributions. The proposed approach is then applied in the estimation of travel time along one arterial in Shanghai, China, with abundant automatic vehicle identification (AVI) data sources. The travel time variability is evaluated thoroughly at 30-min intervals, with promising results achieved in comparison to the field measurements. In addition, the estimated travel time distributions are utilized to illustrate the probability of multiple LOS ranges, namely, reliability LOS. The results provide insights into how we might achieve a more reliable and informative understanding of arterial performance.
Year
DOI
Venue
2017
10.1080/15472450.2016.1216319
Journal of Intelligent Transportation Systems
Keywords
Field
DocType
delay variability,performance evaluation,signalized intersection,travel time variability,urban arterial
Automatic vehicle identification,Level of service,Simulation,Convolution,Flow (psychology),Transport engineering,Engineering,Travel time
Journal
Volume
Issue
ISSN
21
2
1547-2450
Citations 
PageRank 
References 
5
0.53
5
Authors
3
Name
Order
Citations
PageRank
Chen Peng110014.00
Jian Sun26014.76
Hongsheng Qi350.87