Travel behavior modeling: taxonomy, challenges, and opportunities
Personal daily movement patterns have a longitudinal 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...
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Online Access: | https://eprints.ums.edu.my/id/eprint/30055/1/Travel%20behavior%20modeling%2C%20taxonomy%2C%20challenges%2C%20and%20opportunities-Abstract.pdf https://eprints.ums.edu.my/id/eprint/30055/2/Travel%20behavior%20modeling%2C%20taxonomy%2C%20challenges%2C%20and%20opportunities.pdf https://eprints.ums.edu.my/id/eprint/30055/ https://thesai.org/Downloads/Volume12No5/Paper_90-Travel_Behavior_Modeling_Taxonomy_Challenges.pdf https://doi.org/10.14569/IJACSA.2021.0120590 |
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my.ums.eprints.300552021-07-23T04:01:38Z https://eprints.ums.edu.my/id/eprint/30055/ Travel behavior modeling: taxonomy, challenges, and opportunities Aman Sharma Abdullah Gani David Asirvatham Riyath Ahmed Muzaffar Hamzah Mohammad Fadhli Asli HE Transportation and Communications TE Highway engineering. Roads and pavements Personal daily movement patterns have a longitudinal 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 challenges 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. The Science and Information (SAI) 2021 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/30055/1/Travel%20behavior%20modeling%2C%20taxonomy%2C%20challenges%2C%20and%20opportunities-Abstract.pdf text en https://eprints.ums.edu.my/id/eprint/30055/2/Travel%20behavior%20modeling%2C%20taxonomy%2C%20challenges%2C%20and%20opportunities.pdf Aman Sharma and Abdullah Gani and David Asirvatham and Riyath Ahmed and Muzaffar Hamzah and Mohammad Fadhli Asli (2021) Travel behavior modeling: taxonomy, challenges, and opportunities. International Journal of Advanced Computer Science and Applications (IJACSA), 12 (5). pp. 774-786. ISSN 2156-5570 https://thesai.org/Downloads/Volume12No5/Paper_90-Travel_Behavior_Modeling_Taxonomy_Challenges.pdf https://doi.org/10.14569/IJACSA.2021.0120590 |
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HE Transportation and Communications TE Highway engineering. Roads and pavements Aman Sharma Abdullah Gani David Asirvatham Riyath Ahmed Muzaffar Hamzah Mohammad Fadhli Asli Travel behavior modeling: taxonomy, challenges, and opportunities |
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Personal daily movement patterns have a longitudinal 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 challenges 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. |
format |
Article |
author |
Aman Sharma Abdullah Gani David Asirvatham Riyath Ahmed Muzaffar Hamzah Mohammad Fadhli Asli |
author_facet |
Aman Sharma Abdullah Gani David Asirvatham Riyath Ahmed Muzaffar Hamzah Mohammad Fadhli Asli |
author_sort |
Aman Sharma |
title |
Travel behavior modeling: taxonomy, challenges, and opportunities |
title_short |
Travel behavior modeling: taxonomy, challenges, and opportunities |
title_full |
Travel behavior modeling: taxonomy, challenges, and opportunities |
title_fullStr |
Travel behavior modeling: taxonomy, challenges, and opportunities |
title_full_unstemmed |
Travel behavior modeling: taxonomy, challenges, and opportunities |
title_sort |
travel behavior modeling: taxonomy, challenges, and opportunities |
publisher |
The Science and Information (SAI) |
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2021 |
url |
https://eprints.ums.edu.my/id/eprint/30055/1/Travel%20behavior%20modeling%2C%20taxonomy%2C%20challenges%2C%20and%20opportunities-Abstract.pdf https://eprints.ums.edu.my/id/eprint/30055/2/Travel%20behavior%20modeling%2C%20taxonomy%2C%20challenges%2C%20and%20opportunities.pdf https://eprints.ums.edu.my/id/eprint/30055/ https://thesai.org/Downloads/Volume12No5/Paper_90-Travel_Behavior_Modeling_Taxonomy_Challenges.pdf https://doi.org/10.14569/IJACSA.2021.0120590 |
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