Ali Siahvashi - School of Railway Engineering, Iran University of Science and Technology, Tehran, Iran Bijan Moaveni - School of Railway Engineering, Iran University of Science and Technology, Tehran, Iran
The growing traffic intensity and complexity of the railway systems as well as the demand for higher speed need to new Automatic Train Control (ATC) methods. The conventional ATC system has some problems and in recent years new ATC methods like the Decentralized ATC (D-ATC) and autonomous decentralized ATC are developed which have some advantages. In this paper, an Intelligent Decentralized ATC (ID-ATC) approach based on the Multi-Agent systems theory is developed which can provide high transportation capacity, high-safety and high-reliability. In this method we combine the Voronoi concept of cooperative systems theory with Multi-Agent control theory by using of fuzzy control logic. The control algorithms are presented and by using of simulation results the effectiveness of the method is demonstrated.
Ali Siahvashi, Bijan Moaveni, Automatic Train Control Based on the Multi-agent Control of Cooperative Systems, Journal of Mathematics and Computer Science, 1 (2010), no. 4, 247--257
Siahvashi Ali, Moaveni Bijan, Automatic Train Control Based on the Multi-agent Control of Cooperative Systems. J Math Comput SCI-JM. (2010); 1(4):247--257
Siahvashi, Ali, Moaveni, Bijan. "Automatic Train Control Based on the Multi-agent Control of Cooperative Systems." Journal of Mathematics and Computer Science, 1, no. 4 (2010): 247--257
