Assessing the Impact of Intelligent Transportation Systems on Carbon Dioxide (CO2) Emissions: A Case Study of the Karaj-Chalous Corridor in Iran

Subject Areas : environmental management

Mohammad Reza  Samavi ¹ (Ph.D. student in Environmental Economics, Faculty of Natural Resources and Energy, Islamic Azad University, Research Sciences Branch, Tehran.)
Mostafa  Panahi ² (Associate Professor, Department of Energy Engineering and Economics, Islamic Azad University, Research Sciences Branch, Tehran. *(Corresponding Authors))
Zahra  Abedi ³ (Assistant Professor, Department of Environmental Management, Islamic Azad University, Research Sciences Branch, Tehran.)
Majid  Ahmadian ⁴ (Assistant Professor, Department of Environmental Management, Islamic Azad University, Research Sciences Branch, Tehran.)

Received: 2022-02-15 Accepted : 2023-04-06 Published : 2023-07-23

Keywords: Intelligent transportation system, Traffic, Karaj-Chalous Axis,

Abstract :

Background and Objective: The current research is an applied research in terms of classification based on the purpose. The purpose of applied research is to develop applied knowledge in a specific field. Materials and Methodology: Also, the current research is a descriptive-correlation research in terms of method and nature. The statistical population of this research is the cars that traveled during eight busy days of September, from 1 am to 24 pm, in Karaj Chalus axis in 2018 during the study period, and no other specific sampling was done. All calculations and analyzes were done using Excel and 10Eviews software. Findings: The results showed that the use of the intelligent transportation system leads to a reduction in travel time on the Karaj-Chalos corridor and consequently reduced gas emissions. carbon dioxide (CO2). Discussion and Conclusion: The findings showed that the use of the Intelligent Transportation System (ITS) in the 8 days of the study has led to a reduction of 2521 tons of carbon dioxide emissions in the Karaj-Chalos axis.

References:

1. Taj Al-Dini, B., 2013. The need to use intelligent transportation systems (intelligent transportation system) in the field of urban traffic management, Traffic Engineering Quarterly, consecutive 49. (In Persian)


2. Jamadi, H., Jamadi, H., 1398. Study of the impact of intelligent transportation systems on traffic management", the first national conference on geography and urban and rural planning. (In Persian)


3. Sharif Tehrani, S., Poorbagher, M., HagiSafari, M. 2018. Investigation and analysis of the effects of ITS implementation on the efficiency of public transportation system in Mashhad, Road Scientific Quarterly, Vol. 25, No. 90, pp. 56-47 [In Persian].


4. Khodabandehloo, R., Kosari, A., Garshasbi, M.A., Zohrehvand, R. 2018. Improving and controlling smart traffic by increasing urban and suburban transportation services (intelligent transportation systems). 6^th International Conference on New Science and Technology Findings with a focus on science in the service of development. (In Persian)


5. Laima Okunevičiūtė Neverauskienė, Marta Novikova. Factors determining the development of intelligent transport systems.


6. 2021 International Conference on Computing, Electronic and Electrical Engineering


7. Amini Tusi, H. Hossein Dokht, H., Ziaei, S.A., 2013. Application of intelligent systems in urban public transportation", National Conference on Sustainable Development and Urban Development, Isfahan Institute of Higher Education. (In Persian)


8. Ebrahimi, A., Fatemi, M., 2018. Study of the 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. (In Persian)


9. Ghadbeyk, D., Ehsanifar, M., 1398. Development and implementation of model model for evaluating urban traffic management and intelligent transportation systems. 4th nternational Conference on New Research in Civil Engineering, Architecture, Urban Management and Environment. (In Persian)


10. Mohammadi Azartakaleh, G., Esmaeeli, G., Hamzehzarghani, F. 2018. 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 in the Islamic world. (In Persian)


11. Saeedifard, A., Jahanian, M., Faryadres, M., 2018. Intelligent transportation systems in urban traffic managemen, 7th National Conference on Computer Science and Engineering and Information Technology. (In Persian)


12. Zoghi, H., Baghalnejad, A., Payvand, M., 2015. Functional analysis of intelligent ERP systems in the development of the transportation industry, The first conference on intelligent road transport systems. (In Persian)


13. Lee, S., Kim, Y., Kahng, H.,  Lee, S.K., Chung, S., Cheong, T., K., Park, J.,  Kim, S.B. Intelligent traffic control for autonomous vehicle systems based on machine learning, Expert Systems with Applications, Vol. 144, 113074.


14. Barth, M.J. Wu, G., Boriboonsomsin, K. 2015. Intelligent Transportation Systems and Greenhouse Gas Reductions, Renewable Energy Reports, Vol. 2, Issue 3, PP. 90–97.