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Please use this identifier to cite or link to this item: http://hdl.handle.net/1903/12777

Title: Real-Time Short-Term Travel Time Prediction
Authors: Qiao, Wenxin
Advisors: Haghani, Ali
Department/Program: Civil Engineering
Type: Dissertation
Sponsors: Digital Repository at the University of Maryland
University of Maryland (College Park, Md.)
Subjects: Civil engineering
Keywords: non-parametric model
travel time prediction
Issue Date: 2012
Abstract: Real-time short-term travel time prediction is a critical component of the Intelligent Transportation System (ITS) and an important element of the Advanced Traveler Information System (ATIS). Accurate and reliable travel time prediction enables both user and system controller to be well informed of the likely future conditions on roadways, so that pre-trip plans and traffic control strategies can be made accordingly in order to reduce travel time and relieve traffic congestion. With these travel time predictions, roads may be used more efficiently with better overall network performance. This research will study short-term travel time prediction for freeway applications using various sources of real time travel time data. The integrated prediction model proposed here will put emphasis on travel time prediction under various traffic and weather scenarios and especially inclement weather conditions.
URI: http://hdl.handle.net/1903/12777
Appears in Collections:UMD Theses and Dissertations
Civil & Environmental Engineering Theses and Dissertations

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