Comparative Analysis of Different Machine Learning Techniques for Travel Mode Prediction
Author:
Affiliation:
1. NIMS Institute of Computing, Artificial Intelligence and Machine Learning, NIMS University Rajasthan,Jaipur,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10552677/10552678/10552724.pdf?arnumber=10552724
Reference21 articles.
1. Urban Activity Patterns
2. Activity-based models of travel demand: promises, progress and prospects
3. Addressing the awareness gap: A combined survey and vehicle registration analysis to assess car owners’ usage of ADAS in fleets
4. Active travel: using wearable technology to analyse daily travel behaviour;Harms;41st Australasian Transport Research Forum (ATRF),2019
5. Identification of determinants for rescheduling travel mode choice and transportation policies to reduce car use in urban areas
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