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Campus Shuttle Bus Route Optimization Using Machine Learning Predictive Analysis: A Case Study

Author

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  • Rafidah Md Noor

    (Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia
    Centre for Mobile Cloud Computing, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia)

  • Nadia Bella Gustiani Rasyidi

    (Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia)

  • Tarak Nandy

    (Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia)

  • Raenu Kolandaisamy

    (Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia
    Institute of Computer Science and Digital Innovation, UCSI University, Kuala Lumpur 56000, Malaysia)

Abstract

Public transportation is a vital service provided to enable a community to carry out daily activities. One of the mass transportations used in an area is a bus. Moreover, the smart transportation concept is an integrated application of technology and strategy in the transportation system. Using smart idea is the key to the application of the Internet of Things. The ways to improve the management transportation system become a bottleneck for the traditional data analytics solution, one of the answers used in machine learning. This paper uses the Artificial Neural Network (ANN) and Support Vector Machine (SVM) algorithm for the best prediction of travel time with a lower error rate on a case study of a university shuttle bus. Apart from predicting the travel time, this study also considers the fuel cost and gas emission from transportation. The analysis of the experiment shows that the ANN outperformed the SVM. Furthermore, a recommender system is used to recommend suitable routes for the chosen scenario. The experiments extend the discussion with a range of future directions on the stipulated field of study.

Suggested Citation

  • Rafidah Md Noor & Nadia Bella Gustiani Rasyidi & Tarak Nandy & Raenu Kolandaisamy, 2020. "Campus Shuttle Bus Route Optimization Using Machine Learning Predictive Analysis: A Case Study," Sustainability, MDPI, vol. 13(1), pages 1-24, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2020:i:1:p:225-:d:469720
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    1. Luis Rivera-González & David Bolonio & Luis F. Mazadiego & Sebastián Naranjo-Silva & Kenny Escobar-Segovia, 2020. "Long-Term Forecast of Energy and Fuels Demand Towards a Sustainable Road Transport Sector in Ecuador (2016–2035): A LEAP Model Application," Sustainability, MDPI, vol. 12(2), pages 1-26, January.
    2. Zhang Mingheng & Zhen Yaobao & Hui Ganglong & Chen Gang, 2013. "Accurate Multisteps Traffic Flow Prediction Based on SVM," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-8, October.
    3. Max Leyerer & Marc-Oliver Sonneberg & Maximilian Heumann & Tim Kammann & Michael H. Breitner, 2019. "Individually Optimized Commercial Road Transport: A Decision Support System for Customizable Routing Problems," Sustainability, MDPI, vol. 11(20), pages 1-21, October.
    4. Chunyan Tang & Avishai Ceder & Ying-En Ge, 2018. "Optimal public-transport operational strategies to reduce cost and vehicle’s emission," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-17, August.
    5. Osamu Shimizu & Sakahisa Nagai & Toshiyuki Fujita & Hiroshi Fujimoto, 2020. "Potential for CO 2 Reduction by Dynamic Wireless Power Transfer for Passenger Vehicles in Japan," Energies, MDPI, vol. 13(13), pages 1-16, June.
    6. Canan G. Corlu & Rocio de la Torre & Adrian Serrano-Hernandez & Angel A. Juan & Javier Faulin, 2020. "Optimizing Energy Consumption in Transportation: Literature Review, Insights, and Research Opportunities," Energies, MDPI, vol. 13(5), pages 1-33, March.
    7. Ziqi Wang & Peihan Wen, 2020. "Optimization of a Low-Carbon Two-Echelon Heterogeneous-Fleet Vehicle Routing for Cold Chain Logistics under Mixed Time Window," Sustainability, MDPI, vol. 12(5), pages 1-22, March.
    8. Atanu Sengupta & Sanjoy De, 2020. "Review of Literature," India Studies in Business and Economics, in: Assessing Performance of Banks in India Fifty Years After Nationalization, chapter 0, pages 15-30, Springer.
    9. Maria Cieśla & Aleksander Sobota & Marianna Jacyna, 2020. "Multi-Criteria Decision Making Process in Metropolitan Transport Means Selection Based on the Sharing Mobility Idea," Sustainability, MDPI, vol. 12(17), pages 1-21, September.
    10. Jin Qin & Yong Ye & Bi-rong Cheng & Xiaobo Zhao & Linling Ni, 2017. "The Emergency Vehicle Routing Problem with Uncertain Demand under Sustainability Environments," Sustainability, MDPI, vol. 9(2), pages 1-24, February.
    11. Piotr Gołębiowski & Jolanta Żak & Ilona Jacyna-Gołda, 2020. "Approach to the Proecological Distribution of the Traffic Flow on the Transport Network from the Point of View of Carbon Dioxide," Sustainability, MDPI, vol. 12(17), pages 1-16, August.
    12. Dioha, Michael O. & Kumar, Atul, 2020. "Sustainable energy pathways for land transport in Nigeria," Utilities Policy, Elsevier, vol. 64(C).
    13. Wei Wu & Wanjing Ma & Kejun Long & Heping Zhou & Yi Zhang, 2016. "Designing Sustainable Public Transportation: Integrated Optimization of Bus Speed and Holding Time in a Connected Vehicle Environment," Sustainability, MDPI, vol. 8(11), pages 1-15, November.
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