Estimation of a recursive link-based logit model and link flows in a sensor equipped network-Reference-Cited by-同舟云学术

Estimation of a recursive link-based logit model and link flows in a sensor equipped network

Published:2020-10 Issue: Volume:140 Page:262-281
ISSN:0191-2615
Container-title:Transportation Research Part B: Methodological
language:en
Short-container-title:Transportation Research Part B: Methodological

Author:

van Oijen Tim P.,Daamen Winnie,Hoogendoorn Serge P.

Funder

European Research Council

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Civil and Structural Engineering

Reference31 articles.

1. New approach to route choice data collection : multiphase, computer-aided telephone interview panel surveys using geographic information systems data base;Abdel-Aty;Transp. Res. Rec.,1995

2. Discrete Choice Methods and their Applications to Short Term Travel Decisions;Ben-Akiva,1999

3. Discrete Choice Analysis Theory and Application to Travel Demand;Ben-Akiva,1985

4. Route choice modeling with network-free data;Bierlaire;Transp. Res. Part C,2008

5. Where do cyclists ride? A route choice model developed with revealed preference GPS data;Broach;Transp. Res. Part A,2012

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