Can smartphones serve as an instrument for driver behavior of intelligent transportation systems research? A systematic review: Challenges, motivations, and recommendations

被引:0
|
作者
Garfan, Salem [1 ]
Zaidan, Bilal Bahaa [2 ]
Zaidan, Aws Alaa [2 ]
Qahtan, Sarah [3 ]
Ibrahim, Hassan Abdulsattar [4 ]
Deveci, Muhammet [5 ,6 ,7 ]
Kadry, Seifedine [8 ,9 ,10 ]
Moslem, Sarbast [11 ]
Ding, Weiping [12 ,13 ]
机构
[1] Univ Pendidikan Sultan Idris UPSI, Fac Comp & Meta Technol FKMT, Perak, Malaysia
[2] SP Jain Sch Global Management, Sydney, Australia
[3] Middle Tech Univ, Coll Hlth & Med Tech, Dept Comp Ctr, Baghdad 10047, Iraq
[4] Mazaya Univ Coll, Res Ctr, Nasiriyah, Iraq
[5] Natl Def Univ, Turkish Naval Acad, Dept Ind Engn, TR-34942 Istanbul, Turkiye
[6] Imperial Coll London, Royal Sch Mines, London SW7 2AZ, England
[7] Western Caspian Univ, Dept Informat Technol, Baku 1001, Azerbaijan
[8] Noroff Univ Coll, Dept Appl Data Sci, Kristiansand, Norway
[9] Ajman Univ, Artificial Intelligence Res Ctr AIRC, Ajman 346, U Arab Emirates
[10] Middle East Univ, MEU Res Unit, Amman 11831, Jordan
[11] Univ Coll Dublin, Sch Architecture Planning & Environm Policy, Dublin D04 V1W8, Ireland
[12] Nantong Univ, Sch Artificial Intelligence & Comp Sci, Nantong 226019, Peoples R China
[13] City Univ Macau, Fac Data Sci, Macau 999078, Peoples R China
关键词
Driver behaviour; Intelligent transport system; Smartphone transportation; Transport sustainability; Systematic literature review; Eco-driving; DRIVING STYLE RECOGNITION; IN-VEHICLE; ELECTRIC VEHICLES; NETWORK MODEL; REAL-WORLD; SAFE; IMPACT; TELEMATICS; NAVIGATION; SPEED;
D O I
10.1016/j.pmcj.2024.101978
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The increasing number of road accidents is a major issue in many countries. Studying drivers' behaviour is essential to identify the key factors of these accidents. As improving sustainability can be reached by improving driving behaviour, this study aimed to review and thoroughly analyse current driver behaviour literature that focuses on smartphones and attempted to provide an understanding of various contextual fields in published studies through different open challenges encountered and recommendations to enhance this vital area. All articles about driver behaviour with the scope of using smartphone were searched systematically in four main databases, namely, IEEE Xplore, ScienceDirect, Scopus and Web of Science, from 2013 to 2023. The final set of 207 articles matched our inclusion and exclusion criteria. The basic characteristics of this emerging field are identified from the aspects of motivations, open challenges that impede the technology's utility, authors' recommendations and substantial analysis of the previous studies are discussed based on five aspects (sample size, developed software, techniques used, smartphone sensor based and, available datasets). A proposed research methodology as new direction is provided to solve the gaps identified in the analysis. As a case study of the proposed methodology, the area of eco-driving behaviour is selected to address the current gaps in this area and assist in advancing it. This systematic review is expected to open opportunities for researchers and encourage them to work on the identified gaps.
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页数:35
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    Al-Qaysi, Z.T.
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    Hamddi, S.A.
    Hameed, Qabas A.
    Ismail, Reem D.
    [J]. Iraqi Journal for Computer Science and Mathematics, 2024, 5 (03): : 358 - 377
  • [2] A Landscape of Research on Bus Driver Behavior: Taxonomy, Open Challenges, Motivations, Recommendations, Limitations, and Pathways Solution in Future
    Mohammed, Ali
    Yazid, Muhamad Razuhanafi Mat
    Zaidan, B. B.
    Zaidan, A. A.
    Garfan, Salem
    Zaidan, R. A.
    Ameen, H. A.
    Kareem, Z. H.
    Malik, R. Q.
    [J]. IEEE ACCESS, 2021, 9 : 139896 - 139927
  • [3] A Systematic Review of Reliability Studies on Composite Power Systems: A Coherent Taxonomy Motivations, Open Challenges, Recommendations, and New Research Directions
    Abunima, Hamza
    Teh, Jiashen
    Lai, Ching-Ming
    Jabir, Hussein Jumma
    [J]. ENERGIES, 2018, 11 (09)
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    Alamoodi, A. H.
    Zaidan, B. B.
    Zaidan, A. A.
    Albahri, O. S.
    Talal, Mohammed
    Garfan, Salem
    Sulaiman, Suliana
    Mohammed, Ali
    Kareem, Z. H.
    Malik, R. Q.
    Ameen, H. A.
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2022, 111
  • [5] A systematic review on sensor-based driver behaviour studies: coherent taxonomy, motivations, challenges, recommendations, substantial analysis and future directions
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    Kiah, Miss Laiha Mat
    Yee, Por Lip
    Zaidan, B. B.
    [J]. PEERJ COMPUTER SCIENCE, 2021, 7 : 1 - 50
  • [6] Energy Efficiency in Sustainable Buildings: A Systematic Review with Taxonomy, Challenges, Motivations, Methodological Aspects, Recommendations, and Pathways for Future Research
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    Sa'di, Bahaaeddin
    Safa-Gamal, M.
    Taufiq-Yap, Y. H.
    Alrifaey, Moath
    Seyedmahmoudian, Mehdi
    Stojcevski, Alex
    Horan, Ben
    Mekhilef, Saad
    [J]. ENERGY STRATEGY REVIEWS, 2023, 45
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    Zaidan, B. B.
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    Lim, C. K.
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