  Intelligent transport systems have efficiently and effectively proved
themselves in settling up the problem of traffic congestion around the world.
The multi-agent based transportation system is one of the most important
intelligent transport systems, which represents an interaction among the
neighbouring vehicles, drivers, roads, infrastructure and vehicles. In this
paper, two traffic management models have been created to mitigate congestion
and to ensure that emergency vehicles arrive as quickly as possible. A
tool-chain SUMO-JADE is employed to create a microscopic simulation symbolizing
the interactions of traffic. The simulation model has showed a significant
reduction of at least 50% in the average time delay and thus a real improvement
in the entire journey time.
