User behavior influence in transportation systems
Abstract
Systems and methods described receive a request for a transportation plan for a user, wherein the request comprises a starting point and an ending point for a route. Systems and methods then generate a set of potential transportation plans for the route, determine an impact of a subset of plans in the set of potential transportation plans and estimate a likelihood of acceptance of the subset of plans in the set of potential transportation plans based on a personal preference model for the user. Systems and methods also select an influence strategy of the user based on a user model and generate a message recommending a selected plan from the subset of plans for the user, wherein the message is generated based on the selected influence strategy.
- Inventors:
- Issue Date:
- Research Org.:
- Xerox Corporation, Norwalk, CT (United States)
- Sponsoring Org.:
- USDOE Advanced Research Projects Agency - Energy (ARPA-E)
- OSTI Identifier:
- 2293671
- Patent Number(s):
- 11774257
- Application Number:
- 17/354,820
- Assignee:
- Xerox Corporation (Norwalk, CT)
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01C - MEASURING DISTANCES, LEVELS OR BEARINGS
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
- DOE Contract Number:
- AR0000612
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 06/22/2021
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Klenk, Matthew, Bellotti, Victoria M., and Mohan, Shiwali. User behavior influence in transportation systems. United States: N. p., 2023.
Web.
Klenk, Matthew, Bellotti, Victoria M., & Mohan, Shiwali. User behavior influence in transportation systems. United States.
Klenk, Matthew, Bellotti, Victoria M., and Mohan, Shiwali. Tue .
"User behavior influence in transportation systems". United States. https://www.osti.gov/servlets/purl/2293671.
@article{osti_2293671,
title = {User behavior influence in transportation systems},
author = {Klenk, Matthew and Bellotti, Victoria M. and Mohan, Shiwali},
abstractNote = {Systems and methods described receive a request for a transportation plan for a user, wherein the request comprises a starting point and an ending point for a route. Systems and methods then generate a set of potential transportation plans for the route, determine an impact of a subset of plans in the set of potential transportation plans and estimate a likelihood of acceptance of the subset of plans in the set of potential transportation plans based on a personal preference model for the user. Systems and methods also select an influence strategy of the user based on a user model and generate a message recommending a selected plan from the subset of plans for the user, wherein the message is generated based on the selected influence strategy.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2023},
month = {10}
}
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