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.

Language

  • English

Project

  • Status: Active
  • Funding: $150000
  • Contract Numbers:

    DTRT13-G-UTC48

  • Sponsor Organizations:

    University of Puerto Rico at Mayaguez

    259, Avenida Alfonso Valdés Cobián, ,
    Mayagüez, Puerto Rico  United States  00681

    State University of New York, Buffalo

    212 Ketter Hall
    Buffalo, NY  United States  14260

    Office 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

  • Performing Organizations:

    Transportation Informatics University Transportation Center

    204 Ketter Hall
    University at 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

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