Effect of Autonomous Vehicles on Car Rental Services in Sri Lanka

Authors

  • I.E. Madiwilage Department of Computer Science & Software Engineering, Faculty of Computing, Sri Lanka Institute of Information Technology, SRI LANKA
  • O.G. Amaraweera Department of Computer Science & Software Engineering, Faculty of Computing, Sri Lanka Institute of Information Technology, SRI LANKA
  • N.G.U.I. Disanayake Department of Computer Science & Software Engineering, Faculty of Computing, Sri Lanka Institute of Information Technology, SRI LANKA
  • M.L. Sandeepani Department of Computer Science & Software Engineering, Faculty of Computing, Sri Lanka Institute of Information Technology, SRI LANKA
  • D. I. De Silva Department of Computer Science & Software Engineering, Faculty of Computing, Sri Lanka Institute of Information Technology, SRI LANKA
  • S.M.D.T.H. Dias Department of Computer Science & Software Engineering, Faculty of Computing, Sri Lanka Institute of Information Technology, SRI LANKA

DOI:

https://doi.org/10.31033/ijemr.12.5.49

Keywords:

Autonomous Driving, Self-Driving, Autonomous Vehicle, Robo-Taxi, Rental

Abstract

This paper will introduce a special kind of logistics management problem which exists in the car rental industry. In order to get a high degree of customer satisfaction and optimize vehicle fleet utilization, logistics managers in the car rental business have predicted few technologies: namely Autonomous driving and on demanding rentals. These ideas that will be seen in action in the near future approximately 10 years from now on. Optimizing resource deployment and reducing the logistics cost are the targets of logistics management in enterprise. This sort of research is prospective and useful for future development of the car rental industry.

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Published

2022-10-31

How to Cite

I.E. Madiwilage, O.G. Amaraweera, N.G.U.I. Disanayake, M.L. Sandeepani, D. I. De Silva, & S.M.D.T.H. Dias. (2022). Effect of Autonomous Vehicles on Car Rental Services in Sri Lanka. International Journal of Engineering and Management Research, 12(5), 393–396. https://doi.org/10.31033/ijemr.12.5.49

Issue

Vol. 12 No. 5 (2022): October Issue

Section

Articles

License

Copyright (c) 2022 I.E. Madiwilage, O.G. Amaraweera, N.G.U.I. Disanayake, M.L. Sandeepani, D. I. De Silva, S.M.D.T.H. Dias

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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