Non-myopic Pathfinding for Shared-Ride Vehicles: A Bi-Criteria Best-Path Approach Considering Travel Time and Proximity to Demand [Research Brief]

Hyland, Michael; Yang, Dingtong; Sarma, Navjyoth; METRANS Transportation Center (Calif.); Pacific Southwest Region 9 UTC, University of Southern California; University of California, Irvine

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Non-myopic Pathfinding for Shared-Ride Vehicles: A Bi-Criteria Best-Path Approach Considering Travel Time and Proximity to Demand [Research Brief]

2021-04-01
By Hyland, Michael ; Yang, Dingtong ; Sarma, Navjyoth

[PDF-293.95 KB]

English

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Details:

Creators:

Hyland, Michael ; Yang, Dingtong ; Sarma, Navjyoth

Hyland, Michael ; Yang, Dingtong ; Sarma, Navjyoth Less -
Corporate Creators:

METRANS Transportation Center (Calif.) ; Pacific Southwest Region 9 UTC, University of Southern California ; University of California, Irvine

METRANS Transportation Center (Calif.) ; Pacific Southwest Region 9 UTC, University of Southern California ; University of California, Irvine Less -
Corporate Contributors:

United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program

United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program Less -
Subject/TRT Terms:

[+]

Bi-criteria Routing Mobility Optimization Pooling Ridesharing Shared Mobility Travel Behavior Vehicle Routing
Resource Type:

Brief
Geographical Coverage:

United States ; California

United States ; California Less -
Edition:

Research Brief
Corporate Publisher:

METRANS Transportation Center (Calif.)
Abstract:

The overarching goal of this research project is to improve the operational efficiency of shared-ride mobility-on-demand services (SRMoDS) like UberPool and Lyft Line, in order to increase vehicle occupancies and decrease vehicle mileage. To meet this goal, the objective of this study is to develop a network pathfinding algorithm that considers both a network path’s travel time and its proximity to potential future demand (i.e., travel requests), as opposed to a conventional shortest path algorithm that solely considers travel time.
Format:

PDF
Funding:

USDOT Grant 69A3551747109 ; Caltrans contract 65A06

USDOT Grant 69A3551747109 ; Caltrans contract 65A06 Less -
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:a04c27e12cd4e1ca8d082fc96051bbe5514a1e7cc7f006b74b6552fba6acc805
Download URL:

https://rosap.ntl.bts.gov/view/dot/67965/dot_67965_DS1.pdf
File Type:

No Additional Files

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Non-myopic Pathfinding for Shared-Ride Vehicles: A Bi-Criteria Best-Path Approach Considering Travel Time and Proximity to Demand [Research Brief]

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