Using an Innovative Model to Automate an Efficient Taxi Dispatching System in Mauritius

  • Pillay Kanaksabee
  • Aviyash Domah
Keywords: Taxi Drivers, Taxi Dispatching System, Taxi Booking, Quick Transport, Cost Effective Taxi


The world is rapidly changing with the introduction of innovative technologies to meet the ever-changing demands of consumers. This research focuses mainly on the study of the actual taxi system in Mauritius to manage their everyday activities in an efficient way to earn a good and a decent earning. With over 6000 drivers in Mauritius, this has caused a major issue in the transportation sector.  According to the survey conducted in Shanghai, China, the percentage of empty miles ((total miles-service miles)/total miles) for taxi is 32%, while the waiting time for passenger may extend more than 1 hour in the rush hours at the worst. The taxi employed under this actual system is rarely capable of reaching the customers in the shortest possible time. This is an exigent problem actually confronting current taxi systems. Thus, an alternative Interactive Taxi dispatching system is proposed, whereby the system will be fast and cost effective to transfer the customer’s request from the operator to the most suitable vehicle. This dispatch ensures that customers are served within the shortest time, resulting in satisfying customer’s demands. Since existing taxi system are working manually, there is a need to have automatic taxi trip system which would be easy and efficient. [14] Therefore, the aim of this paper is to research the pertinence of the use of an Interactive Taxi Dispatching System as an alternative mode for taxi drivers to easily be connected with their riders.


Download data is not yet available.


Hara Associates Inc. and Corey, Canapary & Galanis.(2013). Taxi user surveys. Available at: files/Draft%20SF%20UserSurvey%2055%20WEB% 20version04042013.pdf, 2013

Taxi of tomorrow survey results. New York City Taxi and Limousine Commission. (2001). Available at: downloads/pdf/tot_survey_results_02_10_11.pdf, 2011.

Marshall Brain & Tom Harris. How GPS receivers work. Available at:

Anurag Mandle, Akshay Jaiswal, Bhushan Dod, & Roshan Lokhande. (2014). Taxi automation using real time adaptive scheduling. International Journal on Recent and Innovation Trends in Computing and Communication, 2(3), 592-594. Available at:

Clarke G. & Wright J. (1964). Scheduling of vehicles from a central depot to a number of delivery points. Operations Research, 12(4), 568-581.

Para Kalpana & Dr. A.Lakshmi Devi. (2013). Placement and sizing of distributed generators in distributed network based on lric and load growth control. Journal of Theoretical and Applied Information Technology, 47(1), 1-9.

Anil Yazici et. al. (2011). Challenges in managing centralized taxi dispatching at high-volume airports: A case study of John. F. Kennedy international airport. 1-18.

Xianyuan Zhan, Xinwu Qian, & Satish V. Ukkusuri. (2014). Measuring the efficiency of urban taxi service system. 1-8. Available at:

Y. Yuan, J. Zhang. (2003). Towards an appropriate business model for m-commerce. International Journal of Mobile Communication, 1(1-2), 35-56.

Marco Kouwenhoven. (2008). The role of accessibility in passengers' choice of airports. OECD, 1-38. Available at:

XU Zhengchuan, YUAN Yufei, JIN Huiliang, & LING Hong. (2005). Investigating the value of location information in taxi dispatching services: A case study of DaZhong tax. Available at:

Khadaroo, A. J. & Seetanah, B. (2007). Assessing the contribution of land, sea and air transport capital to the economic performance of the small island state of Mauritius. Applied Economics Letters, 14(15), 1151-1155.

D. Santani, R. K. Balan, & C. J. Woodard. (2008,June). Understanding and improving a GPS-based taxi system. 1-2. Avalable at:

Maryam Ahmed, Zahara Batool, & Mahrukh Raheel. (2015). Automatic taxi trip sensing and indicating system through gsm. American Journal of Computer Science and Engineering, 2(5), 42-48.

N. Streitz, C. Stephanidis (Eds.). (2013). Distributed, ambient, and pervasive interactions. Berlin, Heidelberg: Springer-Verlag, 326–335. Available at:

M. Qu, H. Zhu, J. Liu, G. Liu, & H. Xiong. (2014). A cost-effective recommender system for taxi drivers. In 20th ACM SIGKDD International Conference on KDD, New York: USA, 45-54. Available at:

Google Traffic API. (2015, June). Available at: avascript/examples/layer-traffic.

How to Cite
Pillay Kanaksabee, & Aviyash Domah. (2018). Using an Innovative Model to Automate an Efficient Taxi Dispatching System in Mauritius. International Journal of Engineering and Management Research, 8(4), 119-125. Retrieved from