United States Department of Transportation
i
Development of Transit Performance Measures Using Big Data
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2017-06-01
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[PDF-10.32 MB]
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Edition:Project start date: January, 2014 Project end date: December, 2017
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Abstract:All transportation systems can be evaluated using metrics that demonstrate their performance. The estimation of these metrics is based on data which could be obtained through different methods or equipment, such as global positioning system (GPS). The equipment records updated information about vehicle units’ time and location. The fundamental purpose of this project is to propose a methodology to obtain real-time data from large databases, generated by GPS-based Automatic Vehicle Location (AVL) systems installed in public transit vehicles, and merge that information with transportation demand related data available from other sources, including the Census, to estimate system performance measures and propose new metrics to help improve service with the use of "Big Data" management programs, such as Knime-Analytics. This type of synthesized, real-time information can improve decision making at the operational and planning levels. The performance measures presented in this project report can be used to evaluate the system in real-time day to day operations, as well as in short and medium-term planning. This project is taking place using the Metropolitan Bus Authority system (whose Spanish acronym is AMA), which is the main public transit operator in the San Juan Metropolitan Area of Puerto Rico. Performance metrics are calculated for AMA Route 5. The service level obtained using the proposed measures correlate with the boarding levels observed in the field. One recommendation is to expand this type of study to the entire system.
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