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Reducing CO2 Emission Using EDA and Weighted Sum Model in Smart Parking System

Authors: Rahman Ali, Muhammad Sajjad, Farkhund Iqbal, Muhammad Sadiq Hassan Zada, Mohammed Hussain


Emission of Carbon Dioxide (CO2) has adversely affected the environment. One of the major sources of CO2 emission is transportation. In the last few decades, the increase in mobility of people using vehicles has enormously increased the emission of CO2 in the environment. To reduce CO2 emission, sustainable transportation system is required in which smart parking is one of the important measures that need to be established. To contribute to the issue of reducing the amount of CO2 emission, this research proposes a smart parking system. A cloud-based solution is provided to the drivers which automatically searches and recommends the most preferred parking slots. To determine preferences of the parking areas, this methodology exploits a number of unique parking features which ultimately results in the selection of a parking that leads to minimum level of CO2 emission from the current position of the vehicle. To realize the methodology, a scenario-based implementation is considered. During the implementation, a mobile application with GPS signals, vehicles with a number of vehicle features and a list of parking areas with parking features are used by sorting, multi-level filtering, exploratory data analysis (EDA, Analytical Hierarchy Process (AHP)) and weighted sum model (WSM) to rank the parking areas and recommend the drivers with top-k most preferred parking areas. In the EDA process, “2020testcar-2020-03-03”, a freely available dataset is used to estimate CO2 emission of a particular vehicle. To evaluate the system, results of the proposed system are compared with the conventional approach, which reveal that the proposed methodology supersedes the conventional one in reducing the emission of CO2 into the atmosphere.

Keywords: CO2 emission, IoT, EDA, Weighted Sum Model, WSM, regression, smart parking system.

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[1] T. R. Anderson, E. Hawkins, and P. D. Jones, "CO2, the greenhouse effect and global warming: from the pioneering work of Arrhenius and Callendar to today's Earth System Models," Endeavour, vol. 40, pp. 178-187, 2016.
[2] S. A. Shaheen and T. E. Lipman, "Reducing greenhouse emissions and fuel consumption: Sustainable approaches for surface transportation," IATSS research, vol. 31, pp. 6-20, 2007.
[3] R. M. Bierbaum, M. Fay, and B. Ross-Larson, "World development report 2010: Development and climate change," The World Bank2010.
[ (2020, 22 July). Greenhouse Gas Emissions from a Typical Passenger Vehicle. Available:
[5] (2020, 21 July). Solutions to global warming - how to stop global warming? Available:
[6] E. Dell, "Smart cities and communities—GDT Smart City Solutions on Intel®-based Dell EMC infrastructure," Hopkinton, MA, USA, 2017.
[7] I. Aydin, M. Karakose, and E. Karakose, "A navigation and reservation based smart parking platform using genetic optimization for smart cities," in 2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG), 2017, pp. 120-124.
[8] W. Bank, "International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank Estimates," lamanweb: http://data. worldbank. org/indicator/IT .NET. USER. P, vol. 2.
[9] T. Lin, H. Rivano, and F. Le Mouël, "A survey of smart parking solutions," IEEE Transactions on Intelligent Transportation Systems, vol. 18, pp. 3229-3253, 2017.
[10] J. J. Barriga, J. Sulca, J. L. León, A. Ulloa, D. Portero, R. Andrade, et al., "Smart Parking: A Literature Review from the Technological Perspective," Applied Sciences, vol. 9, p. 4569, 2019.
[11] K. M. Ata, A. C. Soh, A. Ishak, H. Jaafar, and N. Khairuddin, "Smart Indoor Parking System Based on Dijkstra’s Algorithm," Int. J. Integr. Eng, vol. 2, pp. 13-20, 2019.
[12] H. Wang, F. Zhang, and P. Cui, "A parking lot induction method based on Dijkstra algorithm," in 2017 Chinese Automation Congress (CAC), 2017, pp. 5247-5251.
[13] K. Yousaf, V. Duraijah, and S. Gobee, "Smart parking system using vision system for disabled drivers (OKU)," ARPN J. Eng. Appl. Sci, vol. 11, pp. 3362-3365, 2006.
[14] P. Mane, R. Deoghare, S. Nagmote, S. Musle, and S. Sarwade, "Android based Smart Parking System," International Journal of Innovative Research in Computer and Communication Engineering, vol. 3, pp. 3981-3984, 2015.
[15] P. Ramaswamy, "IoT smart parking system for reducing green house gas emission," in 2016 International Conference on Recent Trends in Information Technology (ICRTIT), 2016, pp. 1-6.
[16] S. Washburn, J. Seet, and F. Mannering, "Statistical modeling of vehicle emissions from inspection/maintenance testing data: an exploratory analysis," Transportation Research Part D: Transport and Environment, vol. 6, pp. 21-36, 2001.
[17] Y. Liang, D. Niu, H. Wang, and Y. Li, "Factors affecting transportation sector CO2 emissions growth in China: An LMDI decomposition analysis," Sustainability, vol. 9, p. 1730, 2017.
[18] W. Wang, M. Zhang, and M. Zhou, "Using LMDI method to analyze transport sector CO2 emissions in China," Energy, vol. 36, pp. 5909-5915, 2011.
[19] M. U. Rehman, M. A. Shah, M. Khan, and S. Ahmad, "A VANET based Smart Car Parking System to Minimize Searching Time, Fuel Consumption and CO 2 Emission," in 2018 24th International Conference on Automation and Computing (ICAC), 2018, pp. 1-6.
[20] W. Zhao and D. Niu, "Prediction of CO2 emission in China’s power generation industry with gauss optimized cuckoo search algorithm and wavelet neural network based on STIRPAT model with ridge regression," Sustainability, vol. 9, p. 2377, 2017.
[21] A. Yousefi-Sahzabi, K. Sasaki, H. Yousefi, S. Pirasteh, and Y. Sugai, "GIS aided prediction of CO2 emission dispersion from geothermal electricity production," Journal of Cleaner Production, vol. 19, pp. 1982-1993, 2011.
[22] X. Lu, K. Ota, M. Dong, C. Yu, and H. Jin, "Predicting transportation carbon emission with urban big data," IEEE Transactions on Sustainable Computing, vol. 2, pp. 333-344, 2017.
[23] J. Parmar, P. Das, and S. M. Dave, "Study on demand and characteristics of parking system in urban areas: A review," Journal of Traffic and Transportation Engineering (English Edition), vol. 7, pp. 111-124, 2020.
[24] H. Shiraki, K. i. Matsumoto, Y. Shigetomi, T. Ehara, Y. Ochi, and Y. Ogawa, "Factors affecting CO2 emissions from private automobiles in Japan: The impact of vehicle occupancy," Applied Energy, vol. 259, p. 114196, 2020.
[25] C. Zhu and D. Gao, "A research on the factors influencing carbon emission of transportation industry in “the Belt and Road Initiative” countries based on panel data," Energies, vol. 12, p. 2405, 2019.
[26] (2020, 27 July). EPA: Data on Cars used for Testing Fuel Economy. Available:
[27] J. T. Smiih and M. P. Griffin, "Exploratory Data Analysis," Technometrics, vol. 22, pp. 129-130, 1980/02/01 1980.
[28] T. Saaty, "The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation: McGraw-Hill," Inc. New York, NY, 1980.
[29] A. Windarto and A. Muhammad, "Comparison of Weighted Sum Model and Multi Attribute Decision Making Weighted Product Methods in Selecting the Best Elementary School in Indonesia," International Journal of Software Engineering and Its Applications, vol. 11, pp. 69-90, 04/30 2017.
[30] C. A. Rahman, W. Badawy, and A. Radmanesh, "A real time vehicle's license plate recognition system," in Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2003., 2003, pp. 163-166.