Open AccessSmart Traffic Control Scheduling in Smart City Signal Control
Author(s) -
S. Kirubakaran,
Santhosh Kumar S,
S. Tamilselvan,
G Varunika,
K Vishnu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1916/1/012192
Subject(s) - traffic signal , traffic congestion , fuel efficiency , scheduling (production processes) , computer science , real time computing , transport engineering , population , automotive engineering , engineering , simulation , operations management , demography , sociology
The most critical concerns in urban life are increasing population growth and an increase in the count of vehicles on road, tends to traffic congestion. Traffic signal control devices are commonly used to track and monitor the vehicles. Traffic congestion leads to air and noise pollution and many health issues. Therefore, this project reduces time and fuel consumption. In this project, a video processing technique is used to present a new approach for controlling traffic light. The developed model evaluates the traffic light scheduling based on the count of vehicles. Raspberry pi is used to execute it.