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Title: Algorithms to Quantify Impact of Congestion on Time-Dependent Real-World Urban Freight Distribution Networks
Accession Number: 01158424
Record Type: Component
Record URL: Availability: Transportation Research Board Business Office 500 Fifth Street, NW Find a library where document is available Abstract: Urban congestion presents considerable challenges to time-definite transportation service providers. Package, courier, and less than truckload operations and costs are severely affected by growing congestion levels. With congestion increasing at peak morning and afternoon periods, public policies and logistics strategies that avoid or minimize deliveries during congested periods have become crucial for many operators and public agencies. However, in many cases these strategies or policies can introduce unintended side effects, such as higher labor costs, shorter working hours, and tighter customer time windows. Research efforts to analyze and quantify the impact of congestion are hindered by the complexities of vehicle routing problems with time-dependent travel times and the lack of networkwide congestion data. Research used real-world road network data to estimate travel distance and time matrices, land use and customer data to localize and characterize demand patterns, congestion data from an extensive archive of freeway and arterial street traffic sensor data to estimate time-dependent travel times, and an efficient time-dependent vehicle routing problem (TDVRP) solution method to design routes. Novel algorithms were developed to integrate real-world road network and travel data to TDVRP solution methods. Results show the impact of congestion on depot location, fleet size, and distance traveled.
Monograph Title: Monograph Accession #: 01226710
Report/Paper Numbers: 10-4113
Language: English
Authors: Conrad, Ryan GFigliozzi, Miguel AndresPagination: pp 104-113
Publication Date: 2010
ISBN: 9780309160377
Media Type: Print
Features: Figures; Maps; References
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; Tables
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TRT Terms: Uncontrolled Terms: Subject Areas: Freight Transportation; Planning and Forecasting; I72: Traffic and Transport Planning
Files: TRIS, TRB, ATRI
Created Date: Jan 25 2010 12:08PM
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