Exploring Research Trends and Themes in Intelligent Transportation Systems in the Last 10 Years (2014 – 2023)
DOI:
https://doi.org/10.55151/ijeedu.v5i3.90Keywords:
Bibliometric Analysis, PRISMA, Scopus Database, Transport Services Flow, VOS ViewerAbstract
Intelligent Transportation Systems (ITS) are actively working towards transforming transportation systems by implementing solutions that improve the quality and quantity of transportation and traffic data at both individual and collective levels. This research aims to comprehensively analyze the field of Intelligent Transportation Systems (ITS) through a thorough bibliometric analysis covering the period from 2014 to 2023. The goal is to gain an in-depth understanding of the evolution of ITS research. This research employs bibliometric analysis to uncover trends and patterns in studies related to "Intelligent Transportation Systems." The research data is sourced from the Scopus database, encompassing information from document titles, abstracts, and keywords. The time frame considered for this study spans from 2014 to 2023. Studies were identified using the PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analyses) framework. From the 39,846 records identified from the Scopus database, 1,839 studies were included in the analysis. Subsequently, the results are analyzed using the VOS viewer software. The analysis highlights a significant shift in research focus, with core themes like "intelligent transportation sys," "vehicle," "algorithm," and "system" remaining central. Cybersecurity and associated risks have gained prominence due to increased connectivity in ITS. The study identifies promising research directions, including experimental technology validation, real-time traffic management solutions, and IoT and smart city concept integration. This research provides a comprehensive and novel overview of the ITS field's evolution and trends, offering actionable insights for advancing intelligent transportation systems.
References
R. J. Weiland and L. B. Purser, “Intelligent transportation systems,” Transp. new Millenn., 2000.
S. Ghosh, T. Lee, and T. S. Lee, Intelligent transportation systems: new principles and architectures. CRC Press, 2000.
J. S. Sussman, Perspectives on intelligent transportation systems (ITS). Springer Science & Business Media, 2008.
B. Chen and H. H. Cheng, “A review of the applications of agent technology in traffic and transportation systems,” IEEE Trans. Intell. Transp. Syst., vol. 11, no. 2, pp. 485–497, 2010.
G. A. Giannopoulos, “The application of information and communication technologies in transport,” Eur. J. Oper. Res., vol. 152, no. 2, pp. 302–320, 2004.
A. Balasubramaniam, A. Paul, W.-H. Hong, H. C. Seo, and J. H. Kim, “Comparative analysis of intelligent transportation systems for sustainable environment in Smart Cities,” Sustain., vol. 9, no. 7, 2017, doi: 10.3390/su9071120.
P. M. d’Orey and M. Ferreira, “ITS for sustainable mobility: A survey on applications and impact assessment tools,” IEEE Trans. Intell. Transp. Syst., vol. 15, no. 2, pp. 477–493, 2013.
S. Al-Sultan, A. H. Al-Bayatti, and H. Zedan, “Context-aware driver behavior detection system in intelligent transportation systems,” IEEE Trans. Veh. Technol., vol. 62, no. 9, pp. 4264–4275, 2013.
F.-Y. Wang, “Parallel control and management for intelligent transportation systems: Concepts, architectures, and applications,” IEEE Trans. Intell. Transp. Syst., vol. 11, no. 3, pp. 630–638, 2010.
S. Weilant, A. Strong, and B. Miller, “Incorporating resilience into transportation planning and assessment,” RAND Santa Monica, CA, 2019.
O. Vermesan and P. Friess, Internet of things: converging technologies for smart environments and integrated ecosystems. River publishers, 2013.
R. Kala, “Intelligent Transportation Systems with Diverse Vehicles,” Burlingt. Oxford, United Kingdom, pp. 420–458, 2016.
G. Cohen-Blankshtain and O. Rotem-Mindali, “Key research themes on ICT and sustainable urban mobility,” Int. J. Sustain. Transp., vol. 10, no. 1, pp. 9–17, 2016.
M. J. Cobo, F. Chiclana, A. Collop, J. de Ona, and E. Herrera-Viedma, “A bibliometric analysis of the intelligent transportation systems research based on science mapping,” IEEE Trans. Intell. Transp. Syst., vol. 15, no. 2, pp. 901–908, 2013.
Y. He, S. Yang, C.-Y. Chan, L. Chen, and C. Wu, “Visualization analysis of intelligent vehicles research field based on mapping knowledge domain,” IEEE Trans. Intell. Transp. Syst., vol. 22, no. 9, pp. 5721–5736, 2020.
A. A. Ouallane, A. Bakali, A. Bahnasse, S. Broumi, and M. Talea, “Fusion of engineering insights and emerging trends: Intelligent urban traffic management system,” Inf. Fusion, 2022.
S. Tang et al., “Theme classification and analysis of core articles published in IEEE transactions on intelligent transportation systems from 2010 to 2013,” IEEE Trans. Intell. Transp. Syst., vol. 15, no. 6, pp. 2710–2719, 2014.
J. A. Moral-Muñoz, M. J. Cobo, F. Chiclana, A. Collop, and E. Herrera-Viedma, “Analyzing highly cited papers in intelligent transportation systems,” IEEE Trans. Intell. Transp. Syst., vol. 17, no. 4, pp. 993–1001, 2015.
X. Sun, S. Ge, X. Wang, H. Lu, and E. Herrera-Viedma, “A Bibliometric Analysis of IEEE T-ITS Literature Between 2010 and 2019,” IEEE Trans. Intell. Transp. Syst., vol. 23, no. 10, pp. 17157–17166, 2022.
X. Zhao, T. Wang, H. Lu, X. Sun, X. Wang, and F.-Y. Wang, “A bibliographic and co-authorship analysis of IEEE T-ITS literature between 2014 and 2016,” IEEE Trans. Intell. Transp. Syst., vol. 19, no. 9, pp. 2751–2761, 2017.
L. Li, X. Li, Z. Li, D. D. Zeng, and W. T. Scherer, “A bibliographic analysis of the IEEE Transactions on Intelligent Transportation Systems literature,” IEEE Trans. Intell. Transp. Syst., vol. 11, no. 2, pp. 251–255, 2010.
X. Xu, W. Wang, Y. Liu, X. Zhao, Z. Xu, and H. Zhou, “A bibliographic analysis and collaboration patterns of IEEE transactions on intelligent transportation systems between 2000 and 2015,” IEEE Trans. Intell. Transp. Syst., vol. 17, no. 8, pp. 2238–2247, 2016.
N. M. Modak, J. M. Merigó, R. Weber, F. Manzor, and J. de Dios Ortúzar, “Fifty years of Transportation Research journals: A bibliometric overview,” Transp. Res. Part A Policy Pract., vol. 120, pp. 188–223, 2019.
C. Jiang, C. R. Bhat, and W. H. K. Lam, “A bibliometric overview of Transportation Research Part B: Methodological in the past forty years (1979–2019),” Transp. Res. Part B Methodol., vol. 138, pp. 268–291, 2020.
E. J. Tomaszewska and A. Florea, “Urban smart mobility in the scientific literature—bibliometric analysis,” Eng. Manag. Prod. Serv., vol. 10, no. 2, pp. 41–56, 2018.
N.-K. Gamboa-Rosales, J.-L. Ayastuy-Arizti, J.-R. Otegi-Olaso, and J.-R. López-Robles, “Research overview of hydrogen production from biomass: A bibliometric analysis of the research published during the 1979-2019 period,” 2019.
N.-K. Gamboa-Rosales et al., “Past, current and future of fuel cell technologies: A bibliometric analysis of the research published during the 1968-2018 period,” 2019.
J. González-Benito, G. Lannelongue, and J. A. Alfaro-Tanco, “Study of supply-chain management in the automotive industry: a bibliometric analysis,” Int. J. Prod. Res., vol. 51, no. 13, pp. 3849–3863, 2013.
R. Jayakrishnan, H. S. Mahmassani, and T.-Y. Hu, “An evaluation tool for advanced traffic information and management systems in urban networks,” Transp. Res. Part C Emerg. Technol., vol. 2, no. 3, pp. 129–147, 1994.
M. R. R. Shaon, X. Li, Y.-J. Wu, and S. Ramos, “Quantitative evaluation of advanced traffic management systems using analytic hierarchy process,” Transp. Res. Rec., vol. 2675, no. 12, pp. 610–621, 2021.
R. Zeng and A. Chini, “A review of research on embodied energy of buildings using bibliometric analysis,” Energy Build., vol. 155, pp. 172–184, 2017.
T. M. Cristino, A. Faria Neto, and A. F. B. Costa, “Energy efficiency in buildings: analysis of scientific literature and identification of data analysis techniques from a bibliometric study,” Scientometrics, vol. 114, pp. 1275–1326, 2018.
M. Hu and D. Milner, “Visualizing the research of embodied energy and environmental impact research in the building and construction field: A bibliometric analysis,” Dev. Built Environ., vol. 3, p. 100010, 2020.
M. Marzouk and N. Elshaboury, “Science mapping analysis of embodied energy in the construction industry,” Energy Reports, vol. 8, pp. 1362–1376, 2022.
M. J. Cobo, A. G. López‐Herrera, E. Herrera‐Viedma, and F. Herrera, “SciMAT: A new science mapping analysis software tool,” J. Am. Soc. Inf. Sci. Technol., vol. 63, no. 8, pp. 1609–1630, 2012.
M. Aria and C. Cuccurullo, “bibliometrix: An R-tool for comprehensive science mapping analysis,” J. Informetr., vol. 11, no. 4, pp. 959–975, 2017.
M.-S. Yin, “Fifteen years of grey system theory research: A historical review and bibliometric analysis,” Expert Syst. Appl., vol. 40, no. 7, pp. 2767–2775, 2013.
Y. Gan, D. Li, N. Robinson, and J. Liu, “Practical guidance on bibliometric analysis and mapping knowledge domains methodology–A summary,” Eur. J. Integr. Med., vol. 56, p. 102203, 2022.
J. J. M. Ferreira, C. I. Fernandes, and V. Ratten, “A co-citation bibliometric analysis of strategic management research,” Scientometrics, vol. 109, pp. 1–32, 2016.
S. A. Suban, “Bibliometric analysis on wellness tourism–citation and co-citation analysis,” Int. Hosp. Rev., vol. 37, no. 2, pp. 359–383, 2023.
K. Fellnhofer, “Visualized bibliometric mapping on smart specialization: A co-citation analysis,” Int. J. Knowledge-Based Dev., vol. 9, no. 1, pp. 76–99, 2018.
F. J. Acedo, C. Barroso, C. Casanueva, and J. L. Galán, “Co‐authorship in management and organizational studies: An empirical and network analysis,” J. Manag. Stud., vol. 43, no. 5, pp. 957–983, 2006.
K. Fischbach, J. Putzke, and D. Schoder, “Co-authorship networks in electronic markets research,” Electron. Mark., vol. 21, pp. 19–40, 2011.
M. Callon, J.-P. Courtial, W. A. Turner, and S. Bauin, “From translations to problematic networks: An introduction to co-word analysis,” Soc. Sci. Inf., vol. 22, no. 2, pp. 191–235, 1983.
Y. Ding, G. G. Chowdhury, and S. Foo, “Bibliometric cartography of information retrieval research by using co-word analysis,” Inf. Process. Manag., vol. 37, no. 6, pp. 817–842, 2001.
Q.-J. Zong, H.-Z. Shen, Q.-J. Yuan, X.-W. Hu, Z.-P. Hou, and S.-G. Deng, “Doctoral dissertations of Library and Information Science in China: A co-word analysis,” Scientometrics, vol. 94, pp. 781–799, 2013.
C.-P. Hu, J.-M. Hu, S.-L. Deng, and Y. Liu, “A co-word analysis of library and information science in China,” Scientometrics, vol. 97, pp. 369–382, 2013.
P. Pradhan, “Science mapping and visualization tools used in bibliometric & scientometric studies: An overview,” 2017.
W. M. Sweileh, “Research trends on human trafficking: A bibliometric analysis using Scopus database,” Global. Health, vol. 14, pp. 1–12, 2018.
H. Y. Khudhair, D. A. Bin Jusoh, A. F Abbas, A. Mardani, and K. M. Nor, “A review and bibliometric analysis of service quality and customer satisfaction by using Scopus database,” Int. J. Manag., vol. 11, no. 8, 2020.
R. McCullough, “Scopus Roadmap: What’s New in 2022?,” blog.scopus.com, 2022. https://blog.scopus.com/posts/scopus-roadmap-whats-new-in-2022 (accessed Nov. 12, 2023).
A. Agarwal et al., “Bibliometrics: tracking research impact by selecting the appropriate metrics,” Asian J. Androl., vol. 18, no. 2, p. 296, 2016.
Y. Yu et al., “A bibliometric analysis using VOSviewer of publications on COVID-19,” Ann. Transl. Med., vol. 8, no. 13, 2020.
N. Van Eck and L. Waltman, “Software survey: VOSviewer, a computer program for bibliometric mapping,” Scientometrics, vol. 84, no. 2, pp. 523–538, 2010.
L. Meng, K.-H. Wen, R. Brewin, and Q. Wu, “Knowledge atlas on the relationship between urban street space and residents’ health—a bibliometric analysis based on VOSviewer and CiteSpace,” Sustainability, vol. 12, no. 6, p. 2384, 2020.
R. Molontay and M. Nagy, “Twenty years of network science: A bibliographic and co-authorship network analysis,” in Big Data and Social Media Analytics: Trending Applications, Springer, 2021, pp. 1–24.
J. Hu and Y. Zhang, “Discovering the interdisciplinary nature of Big Data research through social network analysis and visualization,” Scientometrics, vol. 112, pp. 91–109, 2017.

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