Smart Transportation System Evolution: a Comprehensive Mapping and Analysis
DOI:
https://doi.org/10.58344/jws.v2i12.520Keywords:
Evolution, Smart Transportation System, Smart CityAbstract
Smart transportation is an important trend worldwide, reducing accidents, traffic jams, and pollution. It uses technology and communication to parse errors and monitor everything online. This research aims to determine how to implement a smart transportation system to provide convenience for users and the city. Smart transportation systems are designed to reduce accidents, pollution, and other problems. However, many cities still need to implement them and require government approval. This research aims to implement the system in every city to ensure citizens can use it more. This research uses a qualitative and bibliometric analysis approach to analyze bibliographic research data in journals from 2012 to 2022. The cluster obtained from software shows that smart transportation uses the most electricity from ordinary transportation and requires a ready implementation system. Other topics related to implementing an intelligent transportation system, such as benefits and how to implement it, are obtained. The conclusion is that smart transportation must be implemented to reduce risks and make urban citizens feel more secure and comfortable using it.
References
Alhilal, A. Y., Finley, B., Braud, T., Su, D., & Hui, P. (2022). Street Smart in 5G: Vehicular Applications, Communication, and Computing. IEEE Access, p. 10, 105631–105656. https://doi.org/10.1109/ACCESS.2022.3210985
Andrienko, G., Andrienko, N., Chen, W., Maciejewski, R., & Zhao, Y. (2017). Visual analytics of mobility and transportation: State of the art and further research directions. IEEE Transactions on Intelligent Transportation Systems, 18(8), 2232–2249. https://doi.org/10.1109/TITS.2017.2683539
Anthony Jnr, B., Abbas Petersen, S., Ahlers, D., & Krogstie, J. (2020). Big data-driven multi-tier architecture for electric mobility as a service in smart cities: A design science approach. International Journal of Energy Sector Management, 14(5), 1023–1047. https://doi.org/10.1108/IJESM-08-2019-0001
Attaran, H., Kheibari, N., & Bahrepour, D. (2022). Toward integrated smart city: a new model for implementation and design challenges. GeoJournal, 87(s4), 511–526. https://doi.org/10.1007/s10708-021-10560-w
Chen, Y., & Silva, E. A. (2021). Smart transport: A comparative analysis using the most used indicators in the literature juxtaposed with interventions in English metropolitan areas. Transportation Research Interdisciplinary Perspectives, 10(October 2020), 100371. https://doi.org/10.1016/j.trip.2021.100371
Expósito-Izquierdo, C., Expósito-Márquez, A., & Brito-Santana, J. (2017). Mobility as a Service. Smart Cities: Foundations, Principles, and Applications, 409–435. https://doi.org/10.1002/9781119226444.ch15
Garau, C., Masala, F., & Pinna, F. (2015). Benchmarking smart urban mobility: A study on Italian cities. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9156, 612–623. https://doi.org/10.1007/978-3-319-21407-8_43/COVER
Hager, S., Bocker, S., Jamali, S., Reinsch, T., & Wietfeld, C. (2021). A Novel System Architecture for Small-Scale Motion Sensing Exploiting 5G mmWave Channels. 2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings. https://doi.org/10.1109/GCWKSHPS52748.2021.9682166
Ibrahim, M. R., Haworth, J., & Cheng, T. (2021). URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision. Environment and Planning B: Urban Analytics and City Science, 48(1), 76–93. https://doi.org/10.1177/2399808319846517
Ilié, J. M., & Chaouche, A. C. (2017). Toward an Efficient Ambient Guidance for Transport Applications. Procedia Computer Science, 110, 190–198. https://doi.org/10.1016/j.procs.2017.06.084
Imoize, A. L., Adedeji, O., Tandiya, N., & Shetty, S. (2021). 6G Enabled Smart Infrastructure for Sustainable Society: Opportunities, Challenges, and Research Roadmap. Sensors 2021, Vol. 21, Page 1709, 21(5), 1709. https://doi.org/10.3390/S21051709
Julion, W. A., Sumo, J., Bounds, D. T., Breitenstein, S. M., Schoeny, M., Gross, D., & Fogg, L. (2016). Study protocol for a randomized clinical trial of a fatherhood intervention for African American non-resident fathers: Can we improve father and child outcomes? Contemporary Clinical Trials, 49, 29–39. https://doi.org/10.1016/j.cct.2016.05.005
Kadir Abdul. (2006). Dalam Pertumbuhan Ekonomi Nasional. Transportasi Peran Dan Dampaknya Dalam Pertumbuhan Ekonomi Nasional, 1, 121–131.
Lenfers, U. A., Ahmady-Moghaddam, N., Glake, D., Ocker, F., Ströbele, J., & Clemen, T. (2021). Incorporating multi-modal travel planning into an agent-based model: A case study at the train station kellinghusenstraße in Hamburg. Land, 10(11). https://doi.org/10.3390/land10111179
Leung, X. Y., Sun, J., & Bai, B. (2017). Bibliometrics of social media research: A co-citation and co-word analysis. International Journal of Hospitality Management, 66, 35–45. https://doi.org/10.1016/j.ijhm.2017.06.012
Leviäkangas, P., & Ahonen, V. (2021). The Evolution of Smart and Intelligent Mobility - A Semantic and Conceptual Analysis. International Journal of Technology, 12(5), 1019–1029. https://doi.org/10.14716/ijtech.v12i5.5256
Liang, D., De Jong, M., Schraven, D., & Wang, L. (2022). Mapping key features and dimensions of the inclusive city: A systematic bibliometric analysis and literature study. International Journal of Sustainable Development and World Ecology, 29(1), 60–79. https://doi.org/10.1080/13504509.2021.1911873
Lingli, J. (2016). Smart city, smart transportation - Recommendations of the logistics platform construction. Proceedings - 2015 International Conference on Intelligent Transportation, Big Data and Smart City, ICITBS 2015, pp. 729–732. https://doi.org/10.1109/ICITBS.2015.184
Moham, H. A. A. (2019). A Synthetic Case Study for Analysis of the Rising Interdependency between the Power Grid and E-Mobility. IEEE Access, 7, 58802–58809. https://doi.org/10.1109/ACCESS.2019.2914198
Moya Osorio, D. P., Ahmad, I., Sanchez, J. D. V., Gurtov, A., Scholliers, J., Kutila, M., & Porambage, P. (2022a). Towards 6G-Enabled Internet of Vehicles: Security and Privacy. IEEE Open Journal of the Communications Society, 3, 82–105. https://doi.org/10.1109/OJCOMS.2022.3143098
Moya Osorio, D. P., Ahmad, I., Sanchez, J. D. V., Gurtov, A., Scholliers, J., Kutila, M., & Porambage, P. (2022b). Towards 6G-Enabled Internet of Vehicles: Security and Privacy. IEEE Open Journal of the Communications Society, 3(February), 82–105. https://doi.org/10.1109/OJCOMS.2022.3143098
Oswald, K. F. (2014). Nexus Systems, September.
Raissi, K., & Gouissem, B. B. (2020). LTE scheduler algorithms for VANET traffic in a smart city. International Journal of Computer Networks and Communications, 12(1), 53–64. https://doi.org/10.5121/ijcnc.2020.12104
Rezwanul Mahmood, M., Matin, M. A., Sarigiannidis, P., & Goudos, S. K. (2022). A Comprehensive Review on Artificial Intelligence/Machine Learning Algorithms for Empowering the Future IoT Toward 6G Era. IEEE Access, 1. https://doi.org/10.1109/ACCESS.2022.3199689
Ribeiro, P., Dias, G., & Pereira, P. (2021). Transport systems and mobility for smart cities. Applied System Innovation, 4(3). https://doi.org/10.3390/asi4030061
Saber, T., Ventresque, A., & Murphy, J. (2013). ROThAr: Real-time online traffic assignment with load estimation. Proceedings - IEEE International Symposium on Distributed Simulation and Real-Time Applications, DS-RT, 79–86. https://doi.org/10.1109/DS-RT.2013.17
Sun, L., Jin, J. G., Axhausen, K. W., Lee, D. H., & Cebrian, M. (2015). Quantifying long-term evolution of intra-urban spatial interactions. Journal of The Royal Society Interface, 12(102). https://doi.org/10.1098/RSIF.2014.1089
Sweeting, D., & Hambleton, R. (2020). The dynamics of depoliticization in urban governance: Introducing a directly elected mayor. Urban Studies, 57(5), 1068–1086. https://doi.org/10.1177/0042098019827506
Valderrama-Zurián, J. C., Aguilar-Moya, R., Melero-Fuentes, D., & Aleixandre-Benavent, R. (2015). A systematic analysis of duplicate records in Scopus. Journal of Informetrics, 9(3), 570–576. https://doi.org/10.1016/j.joi.2015.05.002
van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer is a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3
van Eck, N. J., & Waltman, L. (2017). Citation-based clustering of publications using CitNetExplorer and VOSviewer. Scientometrics, 111(2), 1053–1070. https://doi.org/10.1007/s11192-017-2300-7
Whittingham, M. S. (2012). History, evolution, and future status of energy storage. Proceedings of the IEEE, 100(SPL CONTENT), 1518–1534. https://doi.org/10.1109/JPROC.2012.2190170
Yang, F., & Xu, J. (2018). Privacy concerns in China’s smart city campaign: The deficit of China’s Cybersecurity Law. Asia and the Pacific Policy Studies, 5(3), 533–543. https://doi.org/10.1002/app5.246
Zhang, J., Wang, F. Y., Wang, K., Lin, W. H., Xu, X., & Chen, C. (2011). Data-driven intelligent transportation systems: A survey. IEEE Transactions on Intelligent Transportation Systems, 12(4), 1624–1639. https://doi.org/10.1109/TITS.2011.2158001
Zhang, L., Cao, W., Zhang, X., & Xu, H. (2018). MAC2: Enabling multicasting and congestion control with multichannel transmission for intelligent vehicle terminal in Internet of Vehicles. International Journal of Distributed Sensor Networks, 14(8). https://doi.org/10.1177/1550147718793586
Zupic, I., & ?ater, T. (2015). Bibliometric Methods in Management and Organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Journal of World Science

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International. that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
















