Demand Supply Oriented Taxi Suggestion System for Vehicular Social Networks with Fuel Charging Mechanism

Authors

  • Selvi C  Computer Science and Engineering, Velalar College of Engineering and Technology, Erode, Tamil Nadu, India
  • Keerthana D  ME-CSE , Velalar College of Engineering and Technology, Erode, Tamil Nadu, India

DOI:

https://doi.org//10.32628/CSEIT19515

Keywords:

Vehicular Social Networks, Hotspot location, Trajectory data mining, Supply-demand level, Electronic Vehicle.

Abstract

Data mining depends on large-scale taxi traces is an important research concepts. A vital direction for analyzing taxi GPS dataset is to suggest cruising areas for taxi drivers. The project first investigates the real-time demand-supply level for taxis, and then makes an adaptive tradeoff between the utilities of drivers and passengers for different hotspots. This project constructs a recommendation system by jointly considering the profits of both drivers and passengers. At last, the qualified candidates are suggested to drivers based on analysis. The project also provides a real-time charging station recommendation system for EV taxis via large-scale GPS data mining. By combining each EV taxi’s historical recharging actions and real-time GPS trajectories, the present operational state of each taxi is predicted. Based on this information, for an EV taxi requesting a recommendation, recommend a charging station that leads to the minimal total time before its recharging starts.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-12-30

Issue

Volume 5, Issue 1, January-February-2019

Section

Research Articles

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Copyright (c) IJSRCSEIT

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

How to Cite

[1]
Selvi C, Keerthana D, " Demand Supply Oriented Taxi Suggestion System for Vehicular Social Networks with Fuel Charging Mechanism, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 1, pp.38-44, January-February-2019. Available at doi : https://doi.org/10.32628/CSEIT19515