IJIRCSTJournal International Journal of Innovative Research in Computer Science and Technology I S Volume 12 Issue 3 Electronic Telecommunication Engineering English May - June 2024 N N Y 2024 05 27 Computer Sciences Density Based Traffic Signal Controller Using IoT English Y 96 99 Aishwarya Tingare English Y Pooja Babar English N Ruchita Saindane English N Prof. Sanjiwani Deshmukh English N https://doi.org/10.55524/ijircst.2024.12.3.15 Every city in the world suffers from traffic congestion, which greatly disturbs the citizens. This problem is made worse by signal timing delays because modern traffic lights are not traffic condition-adaptive. An increasing number of people are in need of effective automatic traffic control technologies to address this. In this study, a density-based dynamic traffic signal control scheme is proposed. The system uses infrared sensors fixed on road poles and a Node MCU micro-controller to automatically modify signal timing according to traffic density at intersections. It is essential to go from fixed-time signaling to automated decision-making. Current fixed-timing systems become ineffective when imbalances in traffic flow arise. This study proposes a solution to a common urban problem by introducing an adaptive traffic light system to reduce congestion. English Traffic congestion, Dynamic traffic signal control, Automatic system, Node MCU, IR sensors. https://ijircst.org/abstract.php?article_id=1267