City-scalable Destination Recommender System for On-demand Senior Mobility
As one of the direct beneficiaries of advances in information & communications technologies, mobility on-demand (MOD) fleet operations have grown increasingly relevant to the operation of smart cities. Many seniors face mobility issues and differences in life-style from the rest of the population; as a result, recommended destinations for the general population may not be preferable to this specific subpopulation. This project is developing a new inference tool that fleet operators can use over time to efficiently learn users’ preferences for different destinations. A “routing-constrained recommender system” is being developed with a component to select a subset of destinations that are route-constrained to recommend to the user to select, and sequential learning component that takes different users’ feedback (e.g. a 5-star rating and selection of destination in each case) to update the knowledge base.
Project
- Status: Completed
- Funding: $103,694
-
Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
New York University
Tandon School of Engineering
Brooklyn, NY United States -
Performing Organizations:
Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
New York University
Tandon School of Engineering
Brooklyn, NY United States -
Principal Investigators:
Chow, Joseph
Cheu, Ruey
- Start Date: 20170301
- Expected Completion Date: 20181031
- Actual Completion Date: 20181031
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Aged; Algorithms; Consumer preferences; Demand responsive transportation; Mobility; Recommendations; Routes and routing
- Subject Areas: Data and Information Technology; Planning and Forecasting; Public Transportation; Society;
Filing Info
- Accession Number: 01648397
- Record Type: Research project
- Source Agency: Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
- Files: UTC, RiP
- Created Date: Oct 12 2017 10:11AM