This project is about integration of intelligent traffic control system, for the types of collisions, congestions and traffics rules. The
examples and perceptive in this project deal primarily with World computerized traffic control system and some civilized countries. Traffic
light, also known as traffic signal, stop light, traffic lamp, stop and go light, robots or semaphore, are signaling devices positioned at road
inspections, pedestrian crossing, and other locations to control competing flows of traffic.
1.1 BACKGROUND TO THE STUDY
The increase in urbanization and traic congestion create an urgent need to operate our transportation systems with maximum efficiency.
Real-time traffic signal control is an integral part of modern Urban Trffaic Control Systems aimed at achieving optimal Utilization of the
road network. Providing effective real time traffic signal control for a large complex traffic network is an extremely challenging distributed
control problem. Signal system operation is further complicated by the recent trend that views traic signal system as a small component
of an integrated multimodal transportation System. Optimization of traic signals and other control devices for the efficient movement of
traffic on streets and highways constitutes a challenging part of the advanced traic management system of intelligent transportation
Simply defined, Intelligent Transport Systems and Services is the integration of information and communications technology with
transport infrastructure, vehicles and users.
For a large-scale traffic management system, it may be difficult or impossible to tell whether the traffic network is flowing smoothly and
assess its current state. Over the past few years, multi-agent systems have become a crucial technology for effectively exploiting the
increasing availability of diverse, heterogeneous and distributed information sources. Researchers over the Years have adopted numerous
techniques and used various tools to implement multi-agent systems for their problem domains. As researchers gain a better
understanding of these autonomous multi-agent systems, more features are incorporated into them to enhance their performance and
the enhanced systems can then be used for more complex application domains.
Intelligent software agent is an autonomous computer program, which interacts with and assists an end user in certain computer related
tasks. In any agent, there is always a certain level of intelligence. The level of the Intelligence could vary from pre-determined roles and
responsibilities to a learning entity. Multi-Agent System is the aggregate of agents, whose object is to decompose the large system to
several small systems which communicate and coordinate with each other and can he extended easily. Agent-based simulations are
models where multiple entities sense and stochastically respond to conditions in their local environments, mimicking complex large scale
system behavior. The urban traic system is a much complex system, which involved many entities and the relationship among them are
Therefore, the most important issues for a learner agent is the assessment of the behavior and the intelligence level of the other agents.
By sharing vital information, Intelligent Traic System allows people to get more from transport networks, with greater safety and with
less impact on the environment. Intelligent Traffic System helps the whole transport system to work most effectively and efficiently.
Intelligent Traffic System integrates users, transport systems, and vehicles through state-of-the-art information and communications
technologies. Intelligent Traffic System can dramatically improve travelers’ safety, efficiency and comfort. Intelligent Traffic System helps
shippers and carriers move freight to its destination reliably and efficiently. Intelligent Traffic System helps the people who run transport
systems provide better service to their customers. Intelligent Traffic System helps get the best value from the road and rail systems we
already have. Intelligent Traffic System helps traffic flow more smoothly, reducing delays, fuel consumption, and air and noise pollution.
Intelligent Traffic System helps make public transport more convenient and affordable.
Intelligent Traffic System often works behind the scenes. When emergency vehicles get to a crash site more rapidly than before, Intelligent
Traffic System is detecting the crash, notifying emergency services, and getting the nearest response unit rapidly to the site. Technology in
a vehicle prevents skidding and helps the vehicle to stop safely; the driver may not even realize that assistance was provided, but
Intelligent Traffic System is at work.