Despite being one of the world's largest railways networks, with a daily transportation of over 25 million passengers and 2.8 million tons of freight, the Indian Railways perform their signaling, traffic management and trains scheduling activities in a completely manual way. The lack of automation causes not only significant delays, but also frequent collisions where passengers die or remain seriously injured. This paper describes how we modeled the Indian Railways system as a MAS and the results of the simulations run using NetLogo on real data retrieved from the Indian Railways dataset. The simulated system is-under some assumptions-collision-free and, thanks to the integration of the MAX-SUM algorithm, minimizes the individual train delay

Supriyo, G., Animesh, D., Mascardi, V., Briola, D. (2013). Exploiting MAS-Based Simulation to Improve the Indian Railways' Efficiency. In Proceedings of the 11th German Conference on Multiagent System Technologies, MATES 2013 (pp.278-291). Springer Verlag [10.1007/978-3-642-40776-5_24].

Exploiting MAS-Based Simulation to Improve the Indian Railways' Efficiency

Briola, D
2013

Abstract

Despite being one of the world's largest railways networks, with a daily transportation of over 25 million passengers and 2.8 million tons of freight, the Indian Railways perform their signaling, traffic management and trains scheduling activities in a completely manual way. The lack of automation causes not only significant delays, but also frequent collisions where passengers die or remain seriously injured. This paper describes how we modeled the Indian Railways system as a MAS and the results of the simulations run using NetLogo on real data retrieved from the Indian Railways dataset. The simulated system is-under some assumptions-collision-free and, thanks to the integration of the MAX-SUM algorithm, minimizes the individual train delay
paper
multiagent system; Railway traffic control; netlogo; simulated system
English
11th German Conference on Multiagent System Technologies, MATES 2013
2013
Proceedings of the 11th German Conference on Multiagent System Technologies, MATES 2013
9783642407758
2013
8076
278
291
reserved
Supriyo, G., Animesh, D., Mascardi, V., Briola, D. (2013). Exploiting MAS-Based Simulation to Improve the Indian Railways' Efficiency. In Proceedings of the 11th German Conference on Multiagent System Technologies, MATES 2013 (pp.278-291). Springer Verlag [10.1007/978-3-642-40776-5_24].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/186309
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