Multi-Modal Tripchain Planner for Disadvantaged Travelers to Incentivize Transit Usage
This research project aims to enhance accessibility and mobility for disadvantaged travelers by developing an artificial intelligence (AI)-powered multimodal tripchain planner. Current navigation solutions overlook the needs of people with mobility limitations, leading to challenges in accessing essential services. The proposed planner optimizes for multiple trips in a day, considering various modes and group-based travel preferences. Collaborating with partners like CoA, and Replica, the project tests the planner's reliability and effectiveness on real-world instances. Outputs include an open-source tripchain planner, behavioral models for Arlington users, survey data demonstrating data collection capabilities, and revenue management strategy evaluation. This initiative promotes equity and reduces congestion by facilitating transit ridership, mobility for all users, and car use reduction. Ultimately, the project advances equitable mobility, supported by stakeholder collaboration and AI-driven analytics, in alignment with U.S. Department of Transportation (USDOT) goals.
Language
- English
Project
- Status: Active
- Funding: $200000
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Contract Numbers:
69A3552348326
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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:
New York University
Brooklyn, New York United States 11201 -
Project Managers:
Pohl, Lizzie
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Performing Organizations:
New York University
Brooklyn, New York United States 11201North Carolina A&T State University
1601 E. Market Street
Greensboro, NC United States 27411New York University Tandon School of Engineering
6 Metrotech Center
Brooklyn, NY United States 11201 -
Principal Investigators:
Pandey, Venktesh
Chow, Joseph
Park, Hyoshin
Bikdash, Marwan
- Start Date: 20231001
- Expected Completion Date: 20240930
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Accessibility; Artificial intelligence; Equity; Incentives; Public transit; Transportation disadvantaged persons; Trip chaining
- Subject Areas: Planning and Forecasting; Public Transportation; Society;
Filing Info
- Accession Number: 01897931
- Record Type: Research project
- Source Agency: Connected Communities for Smart Mobility Towards Accessible and Resilient Transportation for Equitably Reducing Congestion (C2SMARTER)
- Contract Numbers: 69A3552348326
- Files: UTC, RIP
- Created Date: Oct 30 2023 10:56PM