Title

Statistical Evaluation Of Interstate 4 Traffic Prediction System

Abstract

Short-term traffic prediction systems have received considerable attention in the past few years as a means to support advanced traveler information and traffic management systems. Predictive information allows transportation system users to make better trip decisions at the pretrip planning stage and en route. A comprehensive statistical analysis of the traffic prediction system performance implemented on the 40-mi corridor of Interstate 4 in Orlando, Florida, is presented. The system was evaluated under a wide range of traffic conditions and various model parameters. The prediction performance in terms of prediction errors was examined with both link-based and path-based approaches.

Publication Date

1-1-2003

Publication Title

Transportation Research Record

Issue

1856

Number of Pages

16-24

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.3141/1856-03

Socpus ID

2142827160 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/2142827160

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