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Title:

Using Location Observations to Observe Routing for Choice Models

Accession Number:

01155461

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Map matching algorithms try to map a series of location observations to an underlying network, to generate a single hypothesized true location or route. For some applications, including route choice modeling, such map matching is not required, and may introduce unnecessary biases into the model. This paper proposes a methodology for mapping location data to a underlying network in a probabilistic fashion, to try to avoid these potential biases. A framework for generating probabilistic matchings is presented, and the results of the algorithm are presented for a demonstration trip, to demonstrate the viability of the algorithm.

Monograph Accession #:

01147878

Report/Paper Numbers:

10-3753

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Bierlaire, Michel
Chen, Jingmin
Newman, Jeffrey

Pagination:

12p

Publication Date:

2010

Conference:

Transportation Research Board 89th Annual Meeting

Location: Washington DC, United States
Date: 2010-1-10 to 2010-1-14
Sponsors: Transportation Research Board

Media Type:

DVD

Features:

Photos (2) ; References (5)

Uncontrolled Terms:

Map matching algorithms

Subject Areas:

Highways; Planning and Forecasting; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2010 Paper #10-3753

Files:

TRIS, TRB

Created Date:

Jan 25 2010 11:55AM