VRU-Personalized, Optimum, and Dynamic (POD) Routing
Transport is a challenge for vulnerable road users (VRU), reducing their participation in social and recreational activities. Real-time mixing and matching transport-means from private, public, and on-demand transportation at different pick-up locations is a solution that improves mobility, providing the best multimodal transport options to wheelchair users, who are sensitive to dynamic environmental barriers. A dynamic route planning for wheelchair users is required to account for all constraints changing by time with a cost function. Although transportation agencies have favored a simpler static route planning, static planning is only satisfactory when conditions of intermediate nodes in the transportation networks are consistent and the same fixed routes are valid every day. Recalculating the static version without modeling nonlinear function for cost to destination may not appropriately reflect VRU’s personal preference and tolerance to time. Especially, congested urban areas have less reliable transit arrival time at a stop which significantly increases cost of originally planned route of users with disabilities. Through personalization, optimization, and simulation, the proposed project will incorporate multimodal transportation information into the optimal route search. Artificial intelligence (AI) based algorithms to deal with complexity of algorithms and efficiently find optimal solutions.
Language
- English
Project
- Status: Completed
- Funding: $118259
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Contract Numbers:
69A3551747125
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Sponsor Organizations:
Center for Advanced Transportation Mobility
North Carolina Agricultural and Technical State University
Greensboro, NC United States 27411Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Project Managers:
Park, Hyoshin
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Performing Organizations:
North Carolina A&T State University
1601 E. Market Street
Greensboro, NC United States 27411Virginia Tech Transportation Institute
3500 Transportation Research Plaza
Blacksburg, Virginia United States 24061 -
Principal Investigators:
Park, Hyoshin
Owens, Justin
Yi, Sun
Seong, Younho
- Start Date: 20190201
- Expected Completion Date: 20200831
- Actual Completion Date: 20210715
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Algorithms; Artificial intelligence; Demand responsive transportation; Mobility; Multimodal transportation; Optimization; Persons with disabilities; Private transportation; Public transit; Routing; Vulnerable road users; Wheelchairs
- Subject Areas: Passenger Transportation; Planning and Forecasting; Public Transportation; Safety and Human Factors; Society;
Filing Info
- Accession Number: 01708118
- Record Type: Research project
- Source Agency: Center for Advanced Transportation Mobility
- Contract Numbers: 69A3551747125
- Files: UTC, RIP
- Created Date: Jun 20 2019 2:57PM