SMART TRAFFIC SYSTEM

Authors

  • Pranav S Ram Department of Computer Science and Engineering(of Aff.KTU), ASIET (of Aff.KTU), Ernakulam, Kerala Author
  • Radhika Rajan Department of Computer Science and Engineering(of Aff.KTU), ASIET (of Aff.KTU), Ernakulam, Kerala Author
  • Rahul MR Department of Computer Science and Engineering(of Aff.KTU), ASIET (of Aff.KTU), Ernakulam, Kerala Author
  • Deepika M P Department of Computer Science and Engineering(of Aff.KTU), ASIET (of Aff.KTU), Ernakulam, Kerala Author

DOI:

https://doi.org/10.61841/g81ttj35

Keywords:

Arduino applications, traffsense, smarttraffic

Abstract

An increase in the number of vehicles that is not followed by an increase in the number of roads can lead to excessive congestion, especially in big cities. The regulation of Law Number 22, Year 2009, explains that there are seven types of vehicles that are prioritized on the road. Conventional methods of traffic light systems are unable to deal with the ongoing issues surrounding congestion. The current traffic light models are not suitable to tackle problems such as traffic jams, ease of access for emergency vehicles, and the prevention of accidents. Our present traffic light systems are based on microcontrollers and microprocessors, which are predefined hardware that functions according to the programmed code. They are not flexible on a real-time basis. Due to the fixed time intervals of red, yellow, and green signals, the waiting time is longer, and the vehicle uses more fuel. The proposed project will focus on two aspects of implementation. First and foremost, to make traffic light controlling more efficient. This system will intelligently decide when to alternate signals based on the intensity of traffic on each lane, which is detected by sensors on each lane. This will ultimately increase the efficiency of the traffic flow. The second is a manual mode that allows authorized officials to control the signals. This is intended for use during the time of emergency. 

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References

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Published

30.09.2020

How to Cite

S Ram, P., Rajan, R., MR, R., & M P, D. (2020). SMART TRAFFIC SYSTEM. International Journal of Psychosocial Rehabilitation, 24(7), 11175-11178. https://doi.org/10.61841/g81ttj35