Dynamic Toll Charge using openCV and Spark

Authors

  • Prof. Mounica B  Department of information science and engineering, New horizon college of engineering, Bangalore, Karnataka, India
  • Merlin Mathew  Department of information science and engineering, New horizon college of engineering, Bangalore, Karnataka, India
  • Aishwarya Balakrishnan  Department of information science and engineering, New horizon college of engineering, Bangalore, Karnataka, India
  • Bikky Kumar Goit  Department of Information Science and Engineering, New Horizon College of Engineering, Kathmandu, Nepal

DOI:

https://doi.org/10.32628/CSEIT11952326

Keywords:

Radio frequency identification, Cassandra-NoSQL database, E-payment wallet.

Abstract

There are many implementations of intelligent transportation system which is mandatorily required to curb the rising traffic in metropolitan cities. One such implementation is dynamic toll generation which reduces the time taken to pay toll at the toll gates compared to the relatively old method of manual toll collection, although it is still being implemented. One crucial factor to curb traffic and reduce pollution in the cities would be to charge toll according to the seat occupancy in the four wheeler i.e. commuters who use the vehicle appropriately will be charged less and others who use the vehicle luxuriously will be charged more. The system thus implemented produces the toll based on the seat occupancy and the data stored in the databases when the RFID is flashed is used for further analysis.

References

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

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Published

2019-04-30

Issue

Volume 5, Issue 3, May-June-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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

How to Cite

[1]
Prof. Mounica B, Merlin Mathew, Aishwarya Balakrishnan, Bikky Kumar Goit, " Dynamic Toll Charge using openCV and Spark" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 3, pp.33-37, May-June-2019. Available at doi : https://doi.org/10.32628/CSEIT11952326