ITS-based wireless traffic monitoring solution

Osintsev, Natalja; Nozick, Victoria

doi:10.22105/bdcv.2023.190408

Document Type : Original Article

Authors

Natalja Osintsev ¹
Victoria Nozick ²

¹ Fraunhofer-Institut für Holzforschung Wilhelm-Klauditz Institut WKI, Bienroder Weg 54 E, 38108 Brunswick, Germany.

² Operations and Information Management Group, Aston Business School, Aston University, Birmingham B4 7ET, United Kingdom.

https://doi.org/10.22105/bdcv.2023.190408

Abstract

In recent times, we have witnessed an extraordinary surge in technological advancements. The rise in transportation, driven by various factors such as schools, offices, factories, and more, has become increasingly apparent. The extensive use of personal vehicles contributes significantly to the escalation of transportation demands, resulting in pollution and a rapid surge in traffic congestion, especially in urban areas. To curb this issue, it is imperative to implement effective techniques. This paper explores the contemporary approach to traffic monitoring systems and highlights the indispensable role of wireless sensor networks in addressing these challenges.

Keywords

References

[1] D’Amico, G., Arbolino, R., Shi, L., Yigitcanlar, T., & Ioppolo, G. (2022). Digitalisation driven urban metabolism circularity: a review and analysis of circular city initiatives. Land use policy, 112, 105819. DOI:10.1016/j.landusepol.2021.105819

[2] Tang, L., Zhao, Y., Cabrera, J., Ma, J., & Tsui, K. L. (2019). Forecasting short-term passenger flow: an empirical study on shenzhen metro. IEEE transactions on intelligent transportation systems, 20(10), 3613–3622. DOI:10.1109/TITS.2018.2879497

[3] Tasgaonkar, P. P., Garg, R. D., & Garg, P. K. (2020). Vehicle detection and traffic estimation with sensors technologies for intelligent transportation systems. Sensing and imaging, 21(1), 1–28. DOI:10.1007/s11220-020-00295-2

[4] Kamal, M., Atif, M., Mujahid, H., Shanableh, T., Al-Ali, A. R., & Al Nabulsi, A. (2019). IoT based smart city bus stops. Future internet, 11(11), 227. https://doi.org/10.3390/fi11110227

[5] Básaca-Preciado, L. C., Orozco-Garcia, N. A., Terrazas-Gaynor, J. M., Moreno-Partida, A. S., Rosete-Beas, O. A., Rizzo-Aguirre, J., ... & Ponce-Camacho, M. A. (2018). Intelligent transportation scheme for autonomous vehicle in smart campus. IECON 2018 - 44th annual conference of the IEEE industrial electronics society (pp. 3193–3199). IEEE. DOI: 10.1109/IECON.2018.8592824

[6] Cheng, Q., & Gao, C. Z. (2017). A cloud aided privacy-preserving profile matching scheme in mobile social networks. 2017 IEEE international conference on computational science and engineering (CSE) and IEEE international conference on embedded and ubiquitous computing (EUC) (Vol. 2, pp. 195–198). IEEE. DOI: 10.1109/CSE-EUC.2017.219

[7] Liu, Q., Zhou, X., Liu, N., Zeng, Y., & Wang, M. (2023). Design and implementation of smart community information management system. 2023 international seminar on computer science and engineering technology (SCSET) (pp. 636-639). IEEE. DOI: 10.1109/SCSET58950.2023.00144

[8] Patil, J., & Sidnal, N. (2022). Big data analytics for vehicular edge networks. In Cloud computing enabled big-data analytics in wireless ad-hoc networks (pp. 65–84). CRC Press. DOI: 10.1201/9781003206453-5

[9] Fernández-Ares, A. J., Mora, A. M., Odeh, S. M., García-Sánchez, P., & Arenas, M. G. (2017). Wireless monitoring and tracking system for vehicles: a study case in an urban scenario. Simulation modelling practice and theory, 73, 22–42. DOI:10.1016/j.simpat.2016.11.004

[10] Ouhmidou, H., Nabou, A., Ikidid, A., Bouassaba, W., Ouzzif, M., & El Kiram, M. A. (2023). Traffic control, congestion management and smart parking through VANET, ML, and IOT: a review. 2023 10th international conference on wireless networks and mobile communications (WINCOM) (pp. 1-6). IEEE.DOI: 10.1109/WINCOM59760.2023.10322908

[11] Li, Y. (2023). Constructing the intelligent expressway traffic monitoring system using the internet of things and inspection robot. Journal of supercomputing, 1–25. DOI:10.1007/s11227-023-05794-z

[12] Sakr, A., El-Afifi, M. I., Team, P., & others. (2023). Intelligent traffic management systems: a review. Nile journal of communication and computer science, 5(1), 42–56. https://njccs.journals.ekb.eg/article_321169.html

[13] Anjum, M., Shahab, S., Dimitrakopoulos, G., & Guye, H. F. (2023). An in-vehicle behaviour-based response model for traffic monitoring and driving assistance in the context of smart cities. Electronics (Switzerland), 12(7), 1644. DOI:10.3390/electronics12071644

[14] Boubedra, S., & Tolba, C. (2023). Enhancing urban traffic management using internet of vehicles: a layered architecture-based system. 2023 international conference on decision aid sciences and applications (DASA) (pp. 553-559). IEEE. DOI: 10.1109/DASA59624.2023.10286781

[15] Gabriel, A. A. (2023). Intelligent transportation system (ITS). International journal of innovative science and research technology, 8(9), 619–623. https://ijisrt.com/assets/upload/files/IJISRT23SEP587.pdf

Big Data and Computing Visions

ITS-based wireless traffic monitoring solution

References

References

Volume 3, Issue 4
December 2023
Pages 154-159

ITS-based wireless traffic monitoring solution

References

References

Volume 3, Issue 4December 2023Pages 154-159

Volume 3, Issue 4
December 2023
Pages 154-159