Nowadays, the population growth and their choice raise the number of vehicles, which raises traffic congestion in critical condition across the developing Nations like India. In consequence, emergency vehicles are stuck in traffic and waste their valuable time. Many authors focus on traffic problems in terms of intelligent traffic system without the consideration of emergency cases. In this paper, we propose an optimal distributed intelligent traffic system (ODITS) using hybrid optimisation algorithm. The proposed system designed by two phases are collision gathering and decision making. The clustered Jaya algorithm is used to gather the vehicle traffic information, which also differentiate emergency from normal vehicles. Then the modified multi-objective evolutionary based decision-making algorithm is used to compute the best route under the critical conditions. The simulation results shows that the proposed system reduces congestion in traffic, and waiting time of emergency vehicles without compromising normal vehicle speed, waiting time, and number of stopped vehicles. © 2019 Inderscience Enterprises Ltd.