United States Department of Transportation
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Estimation of Origin-Destination Matrix and Identification of User Activities Using Public Transit Smart Card Data
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2018-08-01
[PDF-2.57 MB]
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Corporate Contributors:University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
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Edition:Final Report
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Abstract:The goal of this project is to develop a systematic transit passengers’ origin-destination (OD) estimation methodology that utilizes data with only limited information to enhance the trip-chain-based OD estimation algorithms using the bus transit smart card data collected in Guangzhou City, China in this research. Specific objectives are to: (1) Detect the direction information of the records, (2) Detect the boarding cluster information of the records, (3) Extract boarding stop information, (4) Extract alighting stop information, and (5) Generate OD matrix and analyze transit users’ travel patterns. This report focuses on the algorithms that are developed and used to extract OD information step by step and to present data analysis results based on the extracted information to help the transit planners make informed decisions.
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