The agent based traffic management system use the autonomy, adaptability and mobility of the smartphone agents to deal with the dynamic traffic environment. An urban traffic management system with mobile agent technology based on Agent-Based distributed and adaptive platforms for transportation system is proven to be feasible and effective. The article defines the use of cloud computing technology and describes the history of traffic control and management system along with current state of the traffic control system.
Intelligent transportation clouds provide various services like decision support and also provide an environment for traffic management strategies. The mobile agent technology is effective in urban traffic management while large use of mobile agents leads to a complex structure layer which would then require huge computing.
History of traffic control and management system
The computer 650 was introduced to traffic management system. In 1959, the traffic control and management paradigm were closely aligned with the IT world. The paradigm has five stages in the development of the traffic control and management paradigm. In the first phase the computers were very huge and costly so mainframes were usually shared by many terminals. In 1960, a centralized model was used where a single computer shared the resources for whole traffic management system. In the second phase the LSI technology along with microcomputers led to the appearance of traffic signal controller (TSC). In the third phase, local area network (LAN) was used to enable resource sharing and handle the increasingly complex requirements. The Ethernet technology in 1973 was used to develop into a hierarchical model. The next stage began with the use of internet but this led to the wastage of network bandwidth. In this technology mobile users were able to run the computations near data improving the performance that led to cost reduction and less communication time. Year 2000 began the era of cloud computing. In the recent years the application of parallel transport management system is used. The cloud computing technology was used by parallel traffic systems to overcome the storage and competency issue.
Agent-Based traffic management system
This system was used before the multi-agent traffic management system. In 2004 mobile agent technology handled the uncertainties and inconstant states that occurred in in a dynamic environment of the traffic. The agent Based distributed and adaptive platform was used for a hierarchical model of urban traffic system. The article describes the architecture of the mobile traffic control agents in detail. The functions of the various layers in the system along with their communication are also explained in detail.
The article describes the problems that arise in the current system along with the details of the carried experiments. It also explains the features that must be available in the future system- computing power and storage.
The large computing power is needed to increase the performance of the system is explained in detail in the article.
The article defines the two techniques to fulfill the storage requirement in detail – traffic management using a super computer and cloud computing
Intelligent traffic clouds
It is a type of cloud computing which addresses the issues like system scalability, agent management scheme etc.
The article explains the architecture with the help of the diagram.
The cloud computing technology has two roles in urban traffic management system that of service provider and customer are explained in detail