ABSTRACT
Due to the ever-increasing traffic demand, modern societies with well-planned road management systems, and sufficient infrastructures for transportation still face the problem of traffic congestion. This results in loss of travel time, and huge societal and economic costs. Traffic congestion in highway networks is one of the main issues to be addressed by today’s traffic management schemes. Automation combined with the increasing market penetration of on-line communication, navigation, and advanced driver assistance systems will ultimately result in intelligent vehicle highway systems (IVHS) that distribute intelligence between roadside infrastructure and vehicles and that — in particular on the longer term — are one of the most promising solutions to the traffic congestion problem. In this paper, we present an intelligent traffic control system which is capable of efficiently managing traffic to ensure steady flow and prevent congestion. The system is designed using Java programming language for front-end development and MySQL database for data storage.
CHAPTER ONE
1.0 INTRODUCTION
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 traffic 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 Traffic 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 traffic signal system as a small component of an integrated multimodal transportation System. Optimization of traffic signals and other control devices for the efficient movement of traffic on streets and highways constitutes a challenging part of the advanced traffic management system of intelligent transportation system.
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 traffic system is a much complex system, which involved many entities and the relationship among them are Complicated.
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 Traffic 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.
1.2 statement of the problem
Traffic congestion is an increasing problem in cities and sub urban spend more of their time commuting to work, school, shopping, and social event as well as dealing with traffic light jambs and accidents. Traffic became heavy in all directions, more to and from cities as well as between sub urban locations. Sub urban business locations required huge parking lots because employees have to drive; there were few buses trains, or trolleys to carry scatter workers to their work place. The hope of reduced congestion in the sub urban had not been realized; long commutes and traffic jams could be found everywhere.
1.3 AIMS and objective
Intelligent Traffic System provides travel opportunities and additional travel choices for more people in more ways, wherever they live, work and play, regardless of age or disability.
The aims of this research work are:
- To design and implement an intelligent traffic control system.
- To develop a suitable algorithm to implement the design.
- To simulate the intelligent traffic control using Java programming language.
The first objective is to make each of the traffic lights or semaphores smart. That is, aware of the time of day, basic turn red, green or yellow rules, and perhaps what traffic looks like in all directions based upon locally mounted signals. In achieving these aims, the following objectives will also be followed:
- To design a simple system that is easily adaptable to the existing traffic conditions at the junction, involving a minimum of physical changes in the intersection.
- To provide the quickest possible clearance to vehicular and pedestrian traffic in all directions at a junction.
- To a design flexible artificial intelligence traffic light system that will take care of changes in the traffic density and character.
- To reduce the stress of the traffic warder.
- To reduce the occurrence of possible accident. To verify the efficacy of the program.
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Item Type: Project Material | Size: 37 pages | Chapters: 1-5
Format: MS Word | Delivery: Within 30Mins.
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