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Title:

Route-Cost-Assignment with Joint User and Operator Behavior as a Many-to-One Stable Matching Assignment Game

Accession Number:

01660435

Record Type:

Component

Abstract:

The authors propose a generic model using assignment game criteria compatible with transportation application. Unlike conventional assignment game models, capacity of the proposed model is at the link-route level. Using this model enables the authors to find both the stable pricing and matching of travelers to routes—a more generalized transportation assignment methodology that can evaluate diverse mobility systems. The authors examined two different examples to test the model. As a case study, they used this model to evaluate taxi ridesharing in lower Manhattan in NYC. The results show that, by accounting for traveler and taxi behavior, 60% of a sample of over 300 users would share their cab. The model also determines that taxi-sharing decreases travel miles by 31% compared to just 3% increasing in travel time. The model provides policy-makers with a tool to evaluate cost sharing mechanisms for different transport systems, including many shared mobility services.

Supplemental Notes:

This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling.

Report/Paper Numbers:

18-04367

Language:

English

Authors:

Rasulkhani, Saeid
Chow, Joseph Y J

Pagination:

8p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Maps; References

Subject Areas:

Highways; Operations and Traffic Management; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-04367

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 11:04AM