A dynamic mixed logit model with agent effect for pedestrian next location choice using ubiquitous Wi-Fi network data-Reference-Cited by-同舟云学术

A dynamic mixed logit model with agent effect for pedestrian next location choice using ubiquitous Wi-Fi network data

Published:2019-09 Issue:3 Volume:8 Page:280-289
ISSN:2046-0430
Container-title:International Journal of Transportation Science and Technology
language:en
Short-container-title:International Journal of Transportation Science and Technology

Author:

Beaulieu Alexandra,Farooq Bilal^ORCID

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference22 articles.

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3. Beaulieu, A., Farooq, B., 2017. Large-scale pedestrian movement analysis using a network of wi-fi sensors. In: ITSWorld Congress 2017, Montreal, Canada. p. TBD.

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5. Activity based travel demand model systems;Ben-Akiva,1998

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2. Simulating the effect of measurement errors on pedestrian destination choice model calibration;Transportmetrica A: Transport Science;2022-03-08

3. Activity Scheduling Behavior of the Visitors to an Outdoor Recreational Facility Using GPS Data;Sustainability;2021-04-26

4. A Semi-Supervised Deep Residual Network for Mode Detection in Wi-Fi Signals;Journal of Big Data Analytics in Transportation;2020-08