Traffic Congestion Integrated System Design Development

Road congestion has been an issue in a big city, especially during peak hours. Traffic congestion occurs when overflowing cars on the road than lanes to accommodate them at one time. There are a few key factors that lead to traffic congestion specifically in Kuala Lumpur such as inefficient traffic control, vehicle accidents, insufficient parking space, road work etc. A non-effective traffic light system will create worse traffic congestion during peak hours in the city. Hence, a newly designed solution is developed to solve those current problems. In this project, the focus is on user centric traffic management by improving the inefficient control of traffic. The aim is to improve the traffic light system in the city so that users can have a pleasant traffic experience. The theory behind is to have sensors installed near along the lane to provide inputs to the smart traffic light. Then, the AI vehicle detection in traffic light decides the plausible duration time of green light for the congested lane. Another innovative feature in the system is the application named Kuala Lumpur Intelligent Congestion (KLIC) System that integrates the traffic monitoring and short messages notification system. All these three features, KLIC apps, camera live feed video and notification system have been developed as a proof of concept. The current traffic light system can be improved drastically the road congestion in the city due to users start planning their journey before leaving their house after viewing live feed video themselves of the traffic.