Predictive Analytics for No-Shows and Cancellations for Paratransit Operations
No-shows and late cancellations waste paratransit operators’ resources, as well as degrade a system’s productivity by preventing other users from utilizing supplied service slots. The objective of this research project is threefold: (i) to develop a classification methodology to predict no-shows and cancellations of trips in paratransit systems, (ii) to incorporate the classification model predictions into trip booking and routing models for paratransit operations (including novel overbooking problems in the context of paratransit), and (iii) to evaluate the value of the classification models’ predictions in paratransit planning and operations. As part of this project, the researchers will collaborate with Puerto Rico’s Metropolitan Bus Authority to develop and apply the data analytic techniques proposed in the project using data from the LV paratransit system previously discussed.
- Record URL:
Language
- English
Project
- Status: Active
- Funding: $150000
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Contract Numbers:
DTRT13-G-UTC48
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Sponsor Organizations:
University of Puerto Rico at Mayaguez
259, Avenida Alfonso Valdés Cobián, ,
Mayagüez, Puerto Rico United States 00681State University of New York, Buffalo
212 Ketter Hall
Buffalo, NY United States 14260Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Project Managers:
Kang, Jee
Rodriguez, Daniel
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Performing Organizations:
Transportation Informatics University Transportation Center
State University of New York, Buffalo
Buffalo, NY United States 14260 -
Principal Investigators:
Kang, Jee Eun
Rodriguez, Daniel
- Start Date: 20170901
- Expected Completion Date: 20180831
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Classification; Data analysis; Mathematical prediction; Operations; Overbooking; Paratransit services; Productivity; Reservations; Routing
- Geographic Terms: Puerto Rico
- Subject Areas: Operations and Traffic Management; Planning and Forecasting; Public Transportation;
Filing Info
- Accession Number: 01652083
- Record Type: Research project
- Source Agency: Transportation Informatics University Transportation Center
- Contract Numbers: DTRT13-G-UTC48
- Files: UTC, RiP
- Created Date: Nov 27 2017 1:38PM