CONFLICT RESOLUTION IN RAILWAY TRAFFIC CONTROL BY A DISTRIBUTED INTELLIGENCE APPROACH
Maura Mazzarello, R Copello · Annual Conference on Computers · 2000
Modern railway traffic control systems need fast and reliable conflict resolution capabilities in order to produce optimized schedules when normal ones are not suitable. This paper proposes a distributed intelligence approach in which global optimization is achieved by cooperation of local resolution centers. The approach was validated by means of two test cases in real environments. The work was performed under the Multilevel Advanced Railways Conflict resolution and Operation control (MARCO) project in the Telematics framework.