Campus Units

Civil, Construction and Environmental Engineering

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

2018

Journal or Book Title

Transportmetrica B: Transport Dynamics

Volume

6

Issue

2

First Page

97

Last Page

114

DOI

10.1080/21680566.2017.1325785

Abstract

Travel time and its reliability are intuitive system performance measures for freeway traffic operations. This paper proposes a method to estimate travel times based on data collected from roadside radar sensors, considering spatially correlated traffic conditions. Link-level and corridor-level travel time distributions are estimated using these travel time estimates and compared with the ones estimated based on probe vehicle data. The maximum likelihood estimation is used to estimate the parameters of Weibull, gamma, normal, and lognormal distributions. According to the log-likelihood values, lognormal distribution is the best fit among all the tested distributions. Corridor-level travel time reliability measures are extracted from the travel time distributions. The proposed travel time estimation model can well capture the temporal pattern of travel time and its distribution.

Research Focus Area

Transportation Engineering

Comments

This is an Accepted Manuscript of an article published by Taylor & Francis as Lu, Chaoru, and Jing Dong. "Estimating freeway travel time and its reliability using radar sensor data." Transportmetrica B: Transport Dynamics 6, no. 2 (2018): 97-114. DOI: 10.1080/21680566.2017.1325785. Posted with permission.

Copyright Owner

Taylor & Francis

Language

en

File Format

application/pdf

Published Version

Share

COinS