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Title: Big Data Analysis to Measure Delays of Canadian Domestic and Cross-Border Truck Trips
Accession Number: 01626547
Record Type: Component
Abstract: Transportation delays are a commonplace occurrence for road users. Delays due to congestion can cause substantial stress and loss in time for passenger car users. On the other hand, delays have a direct impact on economic performance due to the added costs incurred by firms. This burden is amplified when delays are unpredictable, resulting in an uncertain arrival times for truck deliveries. The delays associated with truck deliveries can be attributed to a number of factors including congestion on major highways, custom clearance at border facilities, or unexpected events such as road accidents or inclement weather. This paper seeks to address the prevalence of delays with an emphasis on long-haul truck trips in North America. The analysis makes use of big data that represent the movements of over 30,000 Canadian owned trucks for the month of July, 2013. These movements are captured with approximately 31.1 million global positioning system (GPS) pings. These pings track the geographic position of trucks at different points in time. Numerical algorithms are devised to identify the trips conducted by the trucks and calculate their travel time from the origin to destination. The delays are then examined as a function of the overall trip time for the vehicle to reach their destination with a focus on international trips across the Canada-U.S border. The results from the analysis will contribute to the ongoing efforts to improve freight fluidity in Canada.
Supplemental Notes: This paper was sponsored by TRB committee AT015 Standing Committee on Freight Transportation Planning and Logistics.
Monograph Title: Monograph Accession #: 01618707
Report/Paper Numbers: 17-01615
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Gingerich, KevinMaoh, HannaPagination: 17p
Publication Date: 2017
Conference:
Transportation Research Board 96th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; Maps; References; Tables
TRT Terms: Geographic Terms: Subject Areas: Freight Transportation; Motor Carriers; Operations and Traffic Management
Source Data: Transportation Research Board Annual Meeting 2017 Paper #17-01615
Files: PRP, TRIS, TRB, ATRI
Created Date: Dec 8 2016 10:32AM
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