Using Truck Probe GPS Data to Identify and Rank Roadway Bottlenecks

Author:

Zhao Wenjuan1,McCormack Edward2,Dailey Daniel J.3,Scharnhorst Eric4

Affiliation:

1. Freight Policy and Project Manager, Washington State Dept. of Transportation, PO Box 47407, Olympia, WA 98504-7407; formerly, Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Washington.

2. Research Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Washington, Box 352700, Seattle, WA 98195-2700 (corresponding author).

3. Professor, Dept. of Electrical Engineering, Univ. of Washington, Box 352500, Seattle, WA 98195-2700.

4. Ph.D. Fellow, Royal Danish Academy of Architecture, Institue of Planning, Copenhagen, Denmark.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Reference16 articles.

1. American Transportation Research Institute (ATRI). (2011). “FPM congestion monitoring at 250 freight significant highway locations research methodology.” 〈http://www.atri-online.org/index.php?option=com_content&view=article&id=303&Itemid=70〉 (Nov. 10 2011).

2. Ban X. Chu L. and Benouar H. (2007). “Bottleneck identification and calibration for corridor management planning.” Transportation Research Record 1999 Transportation Research Board Washington DC 40–53.

3. Bertini R. L. and Myton A. M. (2005). “Use of performance measurement system data to diagnose freeway bottleneck locations empirically in Orange County California.” Transportation Research Record 1925 Transportation Research Board Washington DC 48–57.

4. Cambridge Systematics. (2005). “An initial assessment of freight bottlenecks on highways.” White Paper Prepared for the Office of Transportation Policy Studies Federal Highway Administration Washington DC.

5. Chen C. Skabardonis A. and Varaiya P. (2004). “Systematic identification of freeway bottlenecks.” Transportation Research Record 1867 Transportation Research Board Washington DC 46–52.

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