Title
Estimation of lane-level travel time distributions under a connected environment
Abstract
Travel time distribution estimation is fundamentally important for the evaluation of travel time variability and reliability. For urban roads, signal delays are key components of travel time. They are stochastic and differ for vehicular movements due to different signal timings for through, left-turning, and right-turning vehicles. To better assist travelers in making trip decisions under connected environments, this study seeks to investigate lane-level travel time distributions for signalized arterial roads by specifically considering the impacts of both the link travel time and the vehicle movement-based signal delays at an intersection. A simulation testbed based on the VISSIM microscopic traffic simulator and a Java plugin is developed to mimic the traffic flow dynamics of a signalized arterial, El Camino Real, in Palo Alto, California, under a connected environment. The detailed vehicle trajectory data obtained from the simulation can be leveraged to obtain lane-level travel time information. Typical normal, lognormal, gamma, and Weibull distributions, as well as kernel density estimation (KDE), are adopted to calibrate the lane-level travel time distributions. The estimation results demonstrate that conventional distribution models are suitable for estimating the travel time distributions of only a few road segments, while KDE fully captures travel time reliability metrics such as the buffer time index, skewness, and width of the travel time distributions for all road segments. This result will help traffic managers and engineers carry out effective traffic management and control to optimize the operation of arterial roads.
Year
DOI
Venue
2021
10.1080/15472450.2020.1854093
Journal of Intelligent Transportation Systems
Keywords
DocType
Volume
Connected environments,kernel density estimation,lane-level travel time distribution,simulation,travel time reliability
Journal
25
Issue
ISSN
Citations 
5
1547-2450
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Lili Lu152.46
Zhengbing He240.76
Jian Wang300.34
Jufeng Chen400.34
Wei Wang59311.54