Smart Traffic Lights Using Photoresistors
Presenter(s)
Venkata Sai Datta Akhil Tej Salopantula
Files
Description
SMART TRAFFIC LIGHTS USING PHOTORESISTOR The aim of this project is to create a smart traffic light system using an Arduino microcontroller and a photoresistor sensor. The system will use the photoresistor to detect the amount of light present and adjust the traffic light timings accordingly. This will allow for more efficient traffic flow during times of low traffic and reduce waiting times for drivers. The system will be composed of three main components: the photoresistor sensor, the Arduino microcontroller, and the traffic lights. The photoresistor sensor will be used to detect the amount of ambient light present and communicate this information to the Arduino. The Arduino will then use this information to adjust the timings of the traffic lights, allowing for more efficient traffic flow. In conclusion, this project aims to create a smart traffic light system that is both efficient and environmentally friendly. By using a photoresistor sensor to detect the amount of ambient light present, the system can adjust traffic light timings to reduce waiting times for drivers and improve traffic flow. This, in turn, can reduce emissions from idling cars and improve air quality in urban areas.
Publication Date
4-19-2023
Project Designation
Course Project 202310 CPS 592 M8
Primary Advisor
Andrew Rettig, Ryan Lambdin, Ruthvik Kolli
Primary Advisor's Department
Electrical and Computer Engineering
Keywords
Stander Symposium, School of Engineering
Recommended Citation
"Smart Traffic Lights Using Photoresistors" (2023). Stander Symposium Projects. 3036.
https://ecommons.udayton.edu/stander_posters/3036
Comments
Presentation: 10:00 a.m-12:00 p.m., Kennedy Union Torch Lounge