Exploring Transportation Systems with a Focus on Smart Mobility
محورهای موضوعی : فصلنامه علمی پژوهشی سنجش از دور راداری و نوری و سیستم اطلاعات جغرافیاییSoroorodin Hemati Gashtaseba 1 , Maliheh Zakeriyan 2 , Samira Iranmaneshc 3
1 - Department of Geography, Islamic Azad University, Yazd Branch, Iran
2 - Faculty Member of Geography, Meybod Branch, Islamic Azad University, Meybod, Iran
3 - Department of Geography, Islamic Azad University, Yazd Branch, Iran
کلید واژه: Transportation, Smart City, Smart Transportation,
چکیده مقاله :
Objective: The rapid growth of urbanization and the automotive industry in recent years has significantly increased the demand for transportation in both work and daily life. This rise in transportation demand has led to growing issues such as urban traffic congestion, energy consumption, and environmental pollution. Consequently, the immense social, economic, and environmental pressures have intensified the challenges faced in urban transportation development.
Methods: This study examines the various problems related to urban transportation, including environmental pollution, reduced energy resources, increased material and human losses due to accidents, challenges in managing and supervising urban transportation, and the rising demand during peak hours, particularly in densely populated cities worldwide. The research explores the role of smart cities in addressing these challenges by improving transportation flow and ensuring safe and efficient mobility.
Results: Urban transportation systems, particularly in peak hours, have become a significant concern for global cities, with rapid growth in demand for efficient transportation services. In response, the development of smart cities provides a framework for overcoming these challenges by facilitating smooth transportation for both people and goods, reducing congestion, and offering real-time data and up-to-date information to transportation users.
Conclusion: Transportation, as a critical link in every aspect of life, is recognized as an essential infrastructure for industrial development and improving social welfare. The concept of smart cities is central to solving urban transportation challenges, offering solutions such as managing traffic congestion, providing real-time information, and promoting environmentally friendly methods of transportation.
Objective: The rapid growth of urbanization and the automotive industry in recent years has significantly increased the demand for transportation in both work and daily life. This rise in transportation demand has led to growing issues such as urban traffic congestion, energy consumption, and environmental pollution. Consequently, the immense social, economic, and environmental pressures have intensified the challenges faced in urban transportation development.
Methods: This study examines the various problems related to urban transportation, including environmental pollution, reduced energy resources, increased material and human losses due to accidents, challenges in managing and supervising urban transportation, and the rising demand during peak hours, particularly in densely populated cities worldwide. The research explores the role of smart cities in addressing these challenges by improving transportation flow and ensuring safe and efficient mobility.
Results: Urban transportation systems, particularly in peak hours, have become a significant concern for global cities, with rapid growth in demand for efficient transportation services. In response, the development of smart cities provides a framework for overcoming these challenges by facilitating smooth transportation for both people and goods, reducing congestion, and offering real-time data and up-to-date information to transportation users.
Conclusion: Transportation, as a critical link in every aspect of life, is recognized as an essential infrastructure for industrial development and improving social welfare. The concept of smart cities is central to solving urban transportation challenges, offering solutions such as managing traffic congestion, providing real-time information, and promoting environmentally friendly methods of transportation.
Barton, J. P., & Infield, D. G. (2004). Energy storage and its use with intermittent renewable energy. IEEE transactions on energy conversion, 19(2), 441-448. https://doi.org/10.1109/TEC.2003.822305
Chen, H., Cong, T. N., Yang, W., Tan, C., Li, Y., & Ding, Y. (2009). Progress in electrical energy storage system: A critical review. Progress in natural science, 19(3), 291-312. https://doi.org/10.1016/j.pnsc.2008.07.014
Dunn, B., Kamath, H., & Tarascon, J. M. (2011). Electrical energy storage for the grid: a battery of choices. Science, 334(6058), 928-935.
Esmaeilian, B., Wang, B., Lewis, K., Duarte, F., Ratti, C., & Behdad, S. (2018). The future of waste management in smart and sustainable cities: A review and concept paper. Waste management, 81, 177-195. https://doi.org/10.1016/j.wasman.2018.09.047
Gohar, M., Muzammal, M., & Rahman, A. U. (2018). SMART TSS: Defining transportation system behavior using big data analytics in smart cities. Sustainable cities and society, 41, 114-119. https://doi.org/10.1016/j.scs.2018.05.008
Jegadeesan, S., Azees, M., Kumar, P. M., Manogaran, G., Chilamkurti, N., Varatharajan, R., & Hsu, C. H. (2019). An efficient anonymous mutual authentication technique for providing secure communication in mobile cloud computing for smart city applications. Sustainable Cities and Society, 49, 101522. https://doi.org/10.1016/j.scs.2019.101522
Karoń, G., & Żochowska, R. (2020). Problems of quality of public transportation systems in smart cities—Smoothness and disruptions in urban traffic. Modelling of the Interaction of the Different Vehicles and Various Transport Modes, 383-414. https://doi.org/10.1007/978-3-030-11512-8_9
Khodayar, M. E., Wu, L., & Li, Z. (2013). Electric vehicle mobility in transmission-constrained hourly power generation scheduling. IEEE Transactions on Smart Grid, 4(2), 779-788. https://doi.org/10.1109/TSG.2012.2230345
Meenaakshi Sundhari, R. P., Murali, L., Baskar, S., & Shakeel, P. M. (2021). MDRP: Message dissemination with re-route planning method for emergency vehicle information exchange. Peer-to-Peer Networking and Applications, 14, 2285-2294. https://doi.org/10.1007/s12083-020-00936-z
Parvania, M., Fotuhi-Firuzabad, M., & Shahidehpour, M. (2014). Comparative hourly scheduling of centralized and distributed storage in day-ahead markets. IEEE Transactions on Sustainable Energy, 5(3), 729-737. https://doi.org/10.1109/TSTE.2014.2300864
Rizk-Allah, R. M., Hassanien, A. E., & Elhoseny, M. (2018). A multi-objective transportation model under neutrosophic environment. Computers & Electrical Engineering, 69, 705-719. https://doi.org/10.1016/j.compeleceng.2018.02.024
Saeidnia, S. (2016). Beresari vaziyat-e haml o naghl-e shahri ba tavajjoh be rouy-kard-e shahre hooshmand (Namone-ye moredi: Shahre Nishabour) [Master's thesis, Faculty of Humanities and Social Sciences, Department of Geography and Urban Planning]. University of Nishabur. Lutfy, S. (Advisor), & Malekshahi, G. (Consultant).
Seuwou, P., Banissi, E., & Ubakanma, G. (2020). The future of mobility with connected and autonomous vehicles in smart cities. Digital twin technologies and smart cities, 37-52. https://doi.org/10.1007/978-3-030-18732-3_3
Shin, H., & Lee, J. (2020). Temporal impulse of traffic accidents in South Korea. IEEE Access, 8, 38380-38390. https://doi.org/10.1109/ACCESS.2020.2975529
Silva, B. N., Khan, M., & Han, K. (2018). Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities. Sustainable cities and society, 38, 697-713. https://doi.org/10.1016/j.scs.2018.01.053
Wang, Y., Ren, H., Dong, L., Park, H. S., Zhang, Y., & Xu, Y. (2019). Smart solutions shape for sustainable low-carbon future: A review on smart cities and industrial parks in China. Technological Forecasting and Social Change, 144, 103-117. https://doi.org/10.1016/j.techfore.2019.04.014
Yigitcanlar, T., Kamruzzaman, M., Foth, M., Sabatini-Marques, J., Da Costa, E., & Ioppolo, G. (2019). Can cities become smart without being sustainable? A systematic review of the literature. Sustainable cities and society, 45, 348-365. https://doi.org/10.1016/j.scs.2018.11.033
Zhou, C., Qian, K., Allan, M., & Zhou, W. (2011). Modeling of the cost of EV battery wear due to V2G application in power systems. IEEE Transactions on Energy Conversion, 26(4), 1041-1050 https://doi.org/10.1109/TEC.2011.2159977
