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Title:

An Information-Based Framework for Incorporating Uncertainty in Transportation Modeling

Accession Number:

01593556

Record Type:

Component

Abstract:

This paper proposes a parsimonious modeling framework aimed at systematically incorporating perceived uncertainty into decision making. The model integrates theoretically sound concepts from information theory, communication, and cognitive science, in order to demystify concepts on information and uncertainty in existing research and practice. Difference between uncertainty and reliability are identified. Most existing modeling methods can be shown as special cases with certain assumptions on information availability and observer’s characteristics of perception which used to be implicit or unspecified. Potential applications are identified in information/uncertainty quantification, value-of-uncertainty (VOU) estimation, traffic assignment, simulation, departure time choice, ABM-DTA integration, system evaluation, etc.

Supplemental Notes:

This paper was sponsored by TRB committee ADB40 Standing Committee on Transportation Demand Forecasting.

Monograph Accession #:

01584066

Report/Paper Numbers:

16-4260

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Yu, Jiangbo
Jayakrishnan, R

Pagination:

20p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References

Subject Areas:

Planning and Forecasting; Transportation (General)

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-4260

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 5:53PM