Traffic controlling in unpredictable environment using multi agent systems

Abstract

With the developments taking place in every area, life has become fast-paced journey making time is one of the most important factor. Transport sector has not been left behind on this scope of development. Technologies used in transport have been of great assistance to human kind, but have generated their own challenges. Traffic jam, accidents, congestion and pollution are some of the economic losses due to those challenges. When considering the challenge of road congestions, the intersection traffic management, contribute critically to this phenomenon. Almost all the intersections in Srilanka are operated through pre-timed electronically controlled traffic lights. These pre-timed traffic lights operating from one intersection, perform their duties at that specific intersection; and yet, their coordination to the corresponding traffic lights in a neighbouring intersection is very ineffective, thus leading to the deployment of traffic police officers to regulate the traffic. It will be a wastage of manpower as well as considering a dynamic situation as static. This project use multi-agent based framework to model the situation as dynamic in nature, to resolve this unpredictable traffic congestion situation. Project has been designed and implemented as a framework, which serves to monitor the changing traffic situation and copes the traffic according to density and wait time of vehicles. This framework tries to compare wait times, compare traffic density of lanes and release each lane accordingly. Project uses JADE development framework and Prometheus methodology in forming the agent based solution. It offers stage-by-stage requirement for the system design and code guidelines to make sure system specifications are met. This framework offers features of observe-think-and-act model. It ensures coordination of traffic during the complete process of movement. If the system is fully implemented, seeks to benefit the road users that, thereby increasing the uptake of agent technology in giving solutions to complex and dynamic matters.