Application of Mobile Agents via Linear Traffic Control Dynamic Model in Coimbatore city

Traffic Control on roads is the major problem in modern cities. Large amount of time and resources are exhausted during travelling because of traffic congestion.Identifying emergency vehicles and providing best path is also crucial for the success of any traffic management system. This paper proposed QoS Agent and implemented an integrated Linear Traffic Control Dynamic Model (LTCDM) by integrating the mobile agents like VAISTC4 agent[6], MATLB agent[12], PCM agent[13], FMSA agent and IMAC agent in order to control traffic congestion, giving prioritization of emergency vehicles ,optimizing traffic issue considering velocity of vehicles and providing best path for the vehicles on road network This linear dynamic model LTCDM also provides the better Quality of Service through the QoS Agents for road networks by improving safety applications, finding best route and driver comfort. An LTCDM is a multivariate model which uses a graph in which the vehicles are represented as nodes considering time series of flows at the various data collection site and uses finite capacity queuing theory. This dynamic & integrated model makes real time decision making based on the host architecture and road network loads and enhancing QoS by increasing throughput and scalability on road networks with the reduction of time delay and end-to-end delay..The open source macrosimulation tool AURORA ROAD NETWORK MODELER is used for simulation to prove the significant performance of LTCDM based on the intelligent traffic & transportation scenario.