Title
Using Real-Life Dual-Loop Detector Data To Develop New Methodology For Estimating Freeway Travel Time Reliability
Abstract
Travel time reliability is an important system performance measure for freeway traffic operations. It captures the variability experienced by individual travelers, and it is an indicator of the operational consistency of a facility over an extended period. Real-life transportation data were used to develop a new methodology for estimating travel time reliability of the I-4 corridor in Orlando, Florida. Four different travel time distributions were tested: Weibull, exponential, lognormal, and normal. The developed best-fit statistical distribution (lognormal) can be used to compute and predict travel time reliability of freeway corridors and report this information in real time to the public through traffic management centers. When compared with existing Florida and buffer time methods, the new reliability method showed higher sensitivity to geographical locations, which reflects the level of congestion and bottlenecks. Another advantage of the new method is its ability to estimate the travel time reliability as a function of departure time.
Publication Date
1-1-2006
Publication Title
Transportation Research Record
Issue
1959
Number of Pages
140-150
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.3141/1959-16
Copyright Status
Unknown
Socpus ID
33846070770 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/33846070770
STARS Citation
Emam, Emam B. and Al-Deek, Haitham, "Using Real-Life Dual-Loop Detector Data To Develop New Methodology For Estimating Freeway Travel Time Reliability" (2006). Scopus Export 2000s. 9120.
https://stars.library.ucf.edu/scopus2000/9120