Intercity truck route choices incorporating toll road alternatives using enhanced GPS data

Journal Article (2020)
Author(s)

T. Toledo (Technion Israel Institute of Technology)

B. Atasoy (TU Delft - Transport Engineering and Logistics)

Peiyu Jing (Massachusetts Institute of Technology)

Jing Ding-Mastera (Massachusetts Institute of Technology)

Jorge Oliveira Santos (Mobile Market Monitor)

Moshe E. Ben-Akiva (Massachusetts Institute of Technology)

Research Group
Transport Engineering and Logistics
Copyright
© 2020 Tomer Toledo, B. Atasoy, Peiyu Jing, Jing Ding-Mastera, Jorge Oliveira Santos, Moshe Ben-Akiva
DOI related publication
https://doi.org/10.1080/23249935.2020.1722284
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 Tomer Toledo, B. Atasoy, Peiyu Jing, Jing Ding-Mastera, Jorge Oliveira Santos, Moshe Ben-Akiva
Research Group
Transport Engineering and Logistics
Issue number
3
Volume number
16
Pages (from-to)
654-675
Reuse Rights

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Abstract

This research presents the data collection, specification and estimation of a route choice model for intercity truck trips, with a focus on toll road usage. The data was obtained from driver-validated and enhanced GPS records. A mixed logit model with a path-size factor is specified. It accounts for heterogeneity among drivers using distributed coefficients for travel time and its variability. The estimation results show wide heterogeneity among drivers based on employment type and availability of electronic toll collection tags. Toll value of time and toll value of reliability distributions are derived. The model application is demonstrated on several trip corridors.

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