Improving Travel Time Estimation

Chenxi Lu

ISBN 10: 3844384014 / ISBN 13: 9783844384017

Published by LAP LAMBERT Academic Publishing Mai 2011, 2011

About this Item

Neuware -For decades, the travel time estimation in transportation planning models is mainly based on Bureau of Public Roads (BPR) equation. Though many other functions have been developed, including Highway Capacity Manual (HCM) method, none of them were widely applied due to either accuracy or convenience issue. This dissertation aimed to improve travel time estimation for the purpose of transportation planning by developing an analytical form of travel time estimation that incorporates the effects of signal timing plans. The model considers the influence of signal timing plans for a variety of traffic volume combinations without requiring signal timing information as input and shows promise of improving the accuracy of travel time prediction. The proposed model is feasible for application to a large network without the burden of signal timing input. The book is useful for the professionals in transportation, especially those in transportation planning and operation.Books on Demand GmbH, Überseering 33, 22297 Hamburg 168 pp. Englisch.

Seller Inventory # 9783844384017

Bibliographic Details

• Title: Improving Travel Time Estimation
• Publisher: LAP LAMBERT Academic Publishing Mai 2011
• Publication Date: 2011
• Language: English
• ISBN 10: 3844384014
• ISBN 13: 9783844384017
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 11D millimeters 220 millimeters width by 150 millimeters height by 11 millimeters depth
• Weight: 268 grams

About this title

Synopsis

For decades, the travel time estimation in transportation planning models is mainly based on Bureau of Public Roads (BPR) equation. Though many other functions have been developed, including Highway Capacity Manual (HCM) method, none of them were widely applied due to either accuracy or convenience issue. This dissertation aimed to improve travel time estimation for the purpose of transportation planning by developing an analytical form of travel time estimation that incorporates the effects of signal timing plans. The model considers the influence of signal timing plans for a variety of traffic volume combinations without requiring signal timing information as input and shows promise of improving the accuracy of travel time prediction. The proposed model is feasible for application to a large network without the burden of signal timing input. The book is useful for the professionals in transportation, especially those in transportation planning and operation.

About the Author

Born in Shanxi, a professor at Ningbo University of Technology in China. He holds a Ph.D. in Civil Engineering and Physics at Florida International University in U.S., a M.S. from China Academy of Engineering Physics and a B.S. from Fudan University. His main interests are in transportation planning, traffic simulation, and signal optimization.