期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：64
期号：1
出版社：Journal of Theoretical and Applied
摘要：The research work in this paper proposed and evaluated a dynamic unified model for Road Networks using various developed agents. An LTCDM (Linear Traffic Control Dynamic Model) is a multivariate dynamic model which uses a graph in which the vehicles are represented as nodes considering time series of flows at the various data collection site and uses finite capacity queuing theory. This dynamic and integrated model constructs real time decision making based on the host architecture and road network loads. The proposed model make use of Congestion Aware Multi Agent Path- planning (CAMAP) Algorithm to achieve social optimum by minimizing aggregate functioning time of all the agents to handle congestion effectively in this model. The aim of the research focuses on the development of LTCDM for road networks by integrating various mobile agents for handling traffic in road networks dealing with travel time uncertainty, congestion detection, severity, prioritization of emergency vehicles and finding best alternative path to avoid congestion. The proposed model also enhances the better quality of service for road networks by improving safety applications, finding best route and drivers comfort. The experimental study described in this paper has been carried out by NS2, SUMO and MOVE .By simulation results, it has been proved that the proposed integrated dynamic and unified model LTCDM attain high throughput and scalability compared with the existing models on road networks.
Loading...
