Traffic Assist E-Bike

Authors

  • Prof. (Dr) Archana Shirbhate  Department of Electrical Engineering, Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur, Maharashtra, India
  • Mohammed Safique  Department of Electrical Engineering, Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur, Maharashtra, India
  • Aftab Ahemad Abdul Ansar  Department of Electrical Engineering, Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur, Maharashtra, India
  • Anam Khan  Department of Electrical Engineering, Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur, Maharashtra, India
  • Pranay Lanjewar  Department of Electrical Engineering, Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur, Maharashtra, India
  • Purval Manke  Department of Electrical Engineering, Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur, Maharashtra, India
  • Manish Madne  Department of Electrical Engineering, Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur, Maharashtra, India

Keywords:

Image recognition, convolutional neural network, Pattern Recognition

Abstract

We have watched as the generation is going fast. there are many of the technologies are coming. People having there public vehicles more than 2 or 3 this occupying more space and making cities or areas much more crowded. Due to this traffic is becoming most of the serious problem in many of the cities and across the world and it directly effecting the environment. this project which is bring in observation is a Arduino traffic light system. The project presents an Arduino traffic light system, based on RF transmitter and receiver, which is made in low-cost high compatibility easy to upgrade is used for management system of traffic light and can be used as a road traffic system. The system is placed in such a way that it will automatically be monitored and process will proceed.

References

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International Journal of Scientific Research in Science and Technology

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Published

2021-06-30

Issue

Volume 8, Issue 3, May-June-2021

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

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

How to Cite

[1]
Prof. (Dr) Archana Shirbhate, Mohammed Safique, Aftab Ahemad Abdul Ansar, Anam Khan, Pranay Lanjewar, Purval Manke, Manish Madne "Traffic Assist E-Bike" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 3, pp.698-699, May-June-2021.