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Enrico Denti and Luca Burroni
Indicators of expected quality of service in public contracts are often based on some kind of ?punctuality?, usually defined in terms of the percentage of trains arriving at the final destination (and/or at intermediate significant stops) within a given ...
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Lingzhi Yin, Jun Zhu, Wenshu Li and Jinhong Wang
As the passenger railway network is expanding and improving, the internal connections and interdependence in the network are rising. Once a sudden geological hazard occurs and damages the network structure, the train service is prone to large-scale halt ...
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Spyridon Garmpis, Manolis Maragoudakis and Aristogiannis Garmpis
The plethora of changes that have taken place in policy formulations on higher education in recent years in Greece has led to unification, the abolition of departments or technological educational institutions (TEI) and mergers at universities. As a resu...
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Junxia Yang, Youpeng Zhang and Yuxiang Jin
Aiming at the problem of the large tracking error of the desired curve for the automatic train operation (ATO) control strategy, an ATO control algorithm based on RBF neural network adaptive terminal sliding mode fault-tolerant control (ATSM-FTC-RBFNN) i...
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Daichi Wada, Sergio A. Araujo-Estrada and Shane Windsor
Nonlinear flight controllers for fixed-wing unmanned aerial vehicles (UAVs) can potentially be developed using deep reinforcement learning. However, there is often a reality gap between the simulation models used to train these controllers and the real w...
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Sai Prashanth Josyula, Johanna Törnquist Krasemann and Lars Lundberg
In railway traffic systems, whenever disturbances occur, it is important to effectively reschedule trains while optimizing the goals of various stakeholders. Algorithms can provide significant benefits to support the traffic controllers in train reschedu...
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Widi Aribowo
Pág. 34 - 43
This paper proposes a novel controller for automatic voltage regulator (AVR) system. The controller is used Focused Time Delay Neural Network (FTDNN). It does not require dynamic backpropagation to compute the network gradient. FTDNN AVR can train networ...
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H. I. Nesterenko,P. V. Bech,M. I. Muzykin,S. I. Avramenko
Pág. 59 - 70
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Franco Mazzenga, Romeo Giuliano and Alessandro Vizzarri
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Jian Wen, Fabien Leurent, Xiaoyan Xie
Pág. 65 - 74
Control strategies are of crucial importance in operations of saturated transit lines. At a given bottleneck, delay propagates due to an excess of demand over supply. Operators therefore use optimal strategies (e.g. holding, fast-running, train-canceling...
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