Chapter
Apr 26, 2012
Online Implementation of a Short-Term Traffic Prediction Model
Publication: Applications of Advanced Technologies in Transportation (2002)
Abstract
One of the key elements for an effective ATMIS is the ability to predict traffic conditions with reasonable accuracy such that transportation system users are able to make better travel decisions. This study evaluates and implements a traffic prediction model on I-4. The performance is evaluated against different prediction horizons and traffic conditions. The algorithm was also used to support the implementation of an online traffic prediction system that provides the freeway travelers with predicted travel times and delays along the freeway corridor.
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© 2002 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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M.ASCE
Assistant Professor, Dept. of Civil and Env. Engineer, Louisiana State University, Baton Rouge, LA 70803. E-mail: [email protected]
M.ASCE
Associate Professor, Dept. of Civil and Env. Eng., University of Central Florida, Orlando, FL 32816. E-mail: [email protected]
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.