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DOI: 10.14569/IJACSA.2021.0120590
PDF

Travel Behavior Modeling: Taxonomy, Challenges, and Opportunities

Author 1: Aman Sharma
Author 2: Abdullah Gani
Author 3: David Asirvatham
Author 4: Riyath Ahmed
Author 5: Muzaffar Hamzah
Author 6: Mohammad Fadhli Asli

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 5, 2021.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: Personal daily movement patterns have a longitu-dinal impact on the individual’s decision-making in traveling. Recent observation on human travel raises concerns on the impact of travel behavior changes on many aspects. Many travel-related aspects like traffic congestion management and effective land-use were significantly affected by travel behavior changes. Existing travel behavior modeling (TBM) were focusing on assessing traffic trends and generate improvement insights for urban planning, infrastructure investment, and policymaking. However, literature indicates limited discussions on recent TBM adaptation towards future technological advances like the integration of autonomous vehicles and intelligent traveling. This survey paper aims to provide overview insights on recent advances of TBM including notable classifications, emerging challenges, and rising opportunities. In this survey, we reviewed and analyzed recently published works on TBM from high-quality publication sources. A taxonomy was devised based on notable characteristics of TBM to guide the classification and analysis of these works. The taxonomy classifies recent advances in TBM based on type of algorithms, applications, data sources, technologies, behavior analysis, and datasets. Furthermore, emerging research chal-lenges and limitations encountered by recent TBM studies were characterized and discussed. Subsequently, this survey identified and highlights open issues and research opportunities arise from recent TBM advances for the future undertaking.

Keywords: Travel behavior; travel behavior modeling; predic-tion modeling; intelligent traveling

Aman Sharma, Abdullah Gani, David Asirvatham, Riyath Ahmed, Muzaffar Hamzah and Mohammad Fadhli Asli, “Travel Behavior Modeling: Taxonomy, Challenges, and Opportunities” International Journal of Advanced Computer Science and Applications(IJACSA), 12(5), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120590

@article{Sharma2021,
title = {Travel Behavior Modeling: Taxonomy, Challenges, and Opportunities},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120590},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120590},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {5},
author = {Aman Sharma and Abdullah Gani and David Asirvatham and Riyath Ahmed and Muzaffar Hamzah and Mohammad Fadhli Asli}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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