Environmental impact assessment of employing intelligent transportation systems on carbon dioxide (CO2) emissions in Iran (Case Study: Karaj-Chalous axis)
محورهای موضوعی : EnvironmentMohammadreza Samavi 1 , Mostafa Panahi 2 , Zahra Abedi 3
1 - Ph.D. student in Environmental Economics, Department of Natural Resources and Energy, Research and Science Branch, Islamic Azad University, Tehran, Iran
2 - Department of Energy Engineering and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran
3 - Department of Environmental Management, Science and Research Branch, Islamic Azad University, Tehran, Iran
کلید واژه: traffic, Environmental impact, CO2 Reduction, Intelligent Transport Systems,
چکیده مقاله :
Background and objective:Transportation is the driving force needed to achieve the goals of economic development and create the well-being of human societies. Modern life requires growth and expansion of the movement. The present research is applied in terms of purpose-based classification. The idea of applied research is to develop applied knowledge in a particular field. This study aimed to estimate the environmental effects of reducing CO2 emissions by using intelligent transportation system (ITS) in Iran.Materials and methods:This research is descriptive-correlational in terms of method and nature. The statistical population of this study is the vehicles traveling during the eight busy days of September from 1 am to 00:00 in the Karaj-Chalous axis in 2019 during the study time. No other specific sampling was performed. All calculations and analyzes were performed using Excel and 10Eviews software.Results and conclusion:The results revealed that the application of the intelligent transportation system had decreased travel time on the Karaj-Chalous axis and, therefore, reduced carbon dioxide (CO2) emissions. The outcomes indicated that the use of the ITS during the eight days of the research had decreased 10,129 tons of carbon dioxide emissions in the Karaj-Chalous axis.
Barth, M. J., Wu, G., & Boriboonsomsin, K. (2015). Intelligent transportation systems and greenhouse gas reductions. Current Sustainable/Renewable Energy Reports, 2(3), 90-97. https://doi.org/10.1007/s40518-015-0032-y
Dandala, T. T., Krishnamurthy, V., & Alwan, R. (2017, January). Internet of Vehicles (IoV) for traffic management. In 2017 International conference on computer, communication and signal processing (ICCCSP) (pp. 1-4). IEEE.. https://doi.org/10.1109/ICCCSP.2017.7944096
d'Orey, P. M., & Ferreira, M. (2013). ITS for sustainable mobility: A survey on applications and impact assessment tools. IEEE Transactions on Intelligent Transportation Systems, 15(2), 477-493. https://doi.org/10.1109/TITS.2013.2287257
Ebrahimi, A., & Fatemi, M. (2019). "Study of Effective Factors of Smart City on Creating a Sustainable Transportation System With a Green Economy Approach," the first international conference and the second international conference on urban planning, architecture, civil engineering and knowledge-based art.
Ghadbik, D., and Ehsanifar, M. (2019). "Development and Application of the Model of Urban Traffic Management Evaluation Framework and Intelligent Transportation Systems", the 4th International Conference on New Research in Civil Engineering, Architecture, Urban Management and Environment.,
Ghanbari, M., Mehr, A. G., & Nehzat, H. (2015). Introducing an intelligent transportation system decision support model for the highways in Iran based on fuzzy logic. International Journal of Soft Computing and Engineering, 5(5), 101-104.
Ghane Ezabadi, N., Azhdar, S., & Jamali, A. A. (2021). Analysis of dust changes using satellite images in Giovanni NASA and Sentinel in Google Earth Engine in western Iran. Journal of Nature and Spatial Sciences (JONASS), 1(1), 17-26. https://dx.doi.org/10.30495/jonass.2021.680327
Jamadi, H., & Jamadi, H. (2019). "Study of the impact of intelligent transportation systems on traffic management", the first national conference on geography and urban and rural planning.
Jamali, A. A., Naeeni, M. A. M., & Zarei, G. (2020). Assessing the expansion of saline lands through vegetation and wetland loss using remote sensing and GIS. Remote Sensing Applications: Society and Environment, 20, 100428. https://doi.org/10.1016/j.rsase.2020.100428
Jamali, A. A., Tabatabaee, R., & Randhir, T. O. (2021). Ecotourism and socioeconomic strategies for Khansar River watershed of Iran. Environment, Development and Sustainability, 23(11), 17077-17093. https://doi.org/10.1007/s10668-021-01334-y
Khodabandeh Lou, R., Kowsari, A., Garshasbi, M.A., & Zohrehvand, R. (2019). "Improving and Controlling Smart Traffic by Increasing Urban and Suburban Transportation Services (Intelligent Transportation Systems)", Sixth International Conference New findings of science and technology with a focus on science in the service of development.
Lee, S., Kim, Y., Kahng, H., Lee, S. K., Chung, S., Cheong, T., ... & Kim, S. B. (2020). Intelligent traffic control for autonomous vehicle systems based on machine learning. Expert Systems with Applications, 144, 113074. https://doi.org/10.1016/j.eswa.2019.113074
Lee, H., & Taheri, S. (2017). Intelligent tires? A review of tire characterization literature. IEEE Intelligent Transportation Systems Magazine, 9(2), 114-135. https://doi.org/10.1109/MITS.2017.2666584
Mohammadi, A., Qasem, I., & Hamzeh Zarghani, F. (2019). "Hardware and Software Infrastructure in the Implementation of Intelligent Transportation System and Urban Traffic", the first conference on computer science, electrical engineering, communications and information technology Iran in the Islamic world.
Mfenjou, M. L., Ari, A. A. A., Abdou, W., & Spies, F. (2018). Methodology and trends for an intelligent transport system in developing countries. Sustainable Computing: Informatics and Systems, 19, 96-111. https://doi.org/10.1016/j.suscom.2018.08.002
Möller, D. P., & Vakilzadian, H. (2016, May). Cyber-physical systems in smart transportation. In 2016 IEEE international conference on electro information technology (EIT) (pp. 0776-0781). IEEE. https://doi.org/10.1109/EIT.2016.7535338
Rahbar, M., Hickman, M., Mesbah, M., & Tavassoli, A. (2018). Calibrating a Bayesian transit assignment model using smart card data. IEEE Transactions on Intelligent Transportation Systems, 20(4), 1574-1583. https://doi.org/10.1109/TITS.2018.2852726
Samavi, M. R., Panahi, M., & Abedi, Z. (2022). ASSESSING THE ECONOMIC IMPACT OF USING ITSS (INTELLIGENT TRANSPORTATION SYSTEMS) ON GASOLINE CONSUMPTION IN IRAN (CASE STUDY OF KARAJ-CHALOUS AXIS). Journal of Positive School Psychology, 6(7), 216-230.
Saeedifard, A., Jahanian, M., & Faryadres, M. (2019). "Intelligent Transportation Systems in Urban Traffic Management", 7th National Conference on Computer Science and Engineering and Information Technology.
Wu, X., Wu, Y., Zhang, S., Liu, H., Fu, L., & Hao, J. (2016). Assessment of vehicle emission programs in China during 1998–2013: Achievement, challenges and implications. Environmental Pollution, 214, 556-567. https://doi.org/10.1016/j.envpol.2016.04.042
Zoghi, H., Baqalnejad, A., & Payvand, M. (2014). "Functional Analysis of Intelligent ERP Systems in the Development of the Transportation Industry", the first conference on intelligent road transportation systems.
