ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Travel Time Variability and Route Choice: An Integrated Modelling Framework

Biswas, M and Pinjari, AR and Dubey, SK (2019) Travel Time Variability and Route Choice: An Integrated Modelling Framework. In: 11th International Conference on Communication Systems and Networks, COMSNETS 2019, 7 January 2019 - 11 January 2019, Bengaluru, pp. 737-742.

[img] PDF
COMSNETS_2019.pdf - Published Version
Restricted to Registered users only

Download (226kB) | Request a copy
Official URL: https://doi.org/10.1109/COMSNETS.2019.8711185

Abstract

This study formulates an Integrated Choice and Latent Variable (ICLV) modelling framework that allows simultaneous estimation of route-level travel time variability and incorporation of its influence on route choice of travelers. The framework considers travel time on a route as a latent variable and uses GPS data measurements of the same to identify the parameters of its statistical distribution, while recognizing measurement errors. Notably, the framework helps inform/impute the travel time distribution for routes without measurements. The proposed model is applied to an empirical data set on route choice of freight trucks in Florida. The route choice component of the proposed model demonstrates a superior statistical fit and better predictive ability than route choice models that do not consider the influence of travel time variability on route choice.

Item Type: Conference Paper
Publication: 2019 11th International Conference on Communication Systems and Networks, COMSNETS 2019
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords: Computer networks; Information systems, Latent variable; Measurement data; Multinomial probit; Route choice; Travel time variabilities, Travel time
Department/Centre: Division of Mechanical Sciences > Civil Engineering
Date Deposited: 27 Dec 2022 07:10
Last Modified: 27 Dec 2022 07:10
URI: https://eprints.iisc.ac.in/id/eprint/78584

Actions (login required)

View Item View Item