Discrete Choice Models of Truck Traveler in Variable Pricing of Freeway
Currently, freeway traffic demand during rush hours is very high and freeway traffic demand during non rush hours is very low. Thus, the capacity during rush hours is significantly reduced and many traffic crashes happen, mainly due to the high traffic volume of truck and their much slower speed. Variable pricing is a potential travel demand management strategy that can shift peak period travel to off peak periods thereby contributing to peak period congestion relief. In the paper, field questionnaire surveys were performed to obtain truck traveler's behavior data regarding their departure choices if different variable pricing schemes would be implemented. Based on the survey data, discrete choice models of truck traveler response to the variable toll rates are estimated.
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Supplemental Notes:
- © 2009 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Ren, Yingwei
- Lu, Jian
- Wu, Shourong
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Conference:
- Second International Conference on Transportation Engineering
- Location: Chengdu , China
- Date: 2009-7-25 to 2009-7-27
- Publication Date: 2009-7
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 1176-1181
- Monograph Title: International Conference on Transportation Engineering 2009
Subject/Index Terms
- TRT Terms: Choice models; Congestion pricing; Peak hour traffic; Traffic crashes; Traffic volume; Travel behavior; Travel surveys; Truck traffic
- Geographic Terms: China
- Subject Areas: Finance; Highways; Motor Carriers; Operations and Traffic Management; I73: Traffic Control;
Filing Info
- Accession Number: 01529573
- Record Type: Publication
- ISBN: 9780784410394
- Files: TRIS, ASCE
- Created Date: Jun 30 2014 9:44AM