Data Driven Simulation Framework for Taxi Ride Sharing

Authors(2) :-P. Potri Rathna, Dr.T.Revathi

In the modern era vehicles are increasing exponentially with respect to its population. The urban cities are facing many challenges in transportation and energy consumption. The foremost approach will be taxi ride-sharing which effectively reduces traffic congestion, gasoline consumption, and pollution. Our proposed method will simulate a real-time data-driven framework for analysing the taxi ride-sharing in various scenarios. In this approaches the taxies and trips are modelled as separate entities for simulating a rich set of realistic scenarios. A new optimization algorithm is described to address the computational complexity and scalability is achieved by an efficient indexing scheme combined with parallelization. The framework is evaluated using a real-time streaming information obtained from the user.

Authors and Affiliations

P. Potri Rathna
Information Technology, Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, India
Dr.T.Revathi
Head of Department, Information Technology, Schlenk Engineering College, Sivakasi, Tamil Nadu, India

Taxi Ride-Sharing, Shortest-Path, Scheduler, Scalability, Apache Spark

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 122-127
Manuscript Number : ICASCT2521
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

P. Potri Rathna, Dr.T.Revathi, " Data Driven Simulation Framework for Taxi Ride Sharing, International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 5, pp.122-127, May-June-2017. Available at doi : 10.32628/ICASCT2521
Journal URL : http://ijsrst.com/ICASCT2521

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