Transcription of Improving Regenerative Energy Receptivity in Metro …
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Improving Regenerative Energy Receptivity in Metro …
Improving Regenerative Energy Receptivity in Metro Transit Systems Coordinated Train Control Algorithm Haichuan Tang, C. Tyler Dick, and Xiaoyun Feng Algorithms for current automatic train operation (ATO) focus mainly Many researchers have dealt with timetable optimization. In such a on reducing the mechanical Energy of motion for a single train within problem, dwell time, interstation running time, and service frequency an existing timetable. However, the reuse of Regenerative Energy is another are the principal factors for Energy efficient timetable design. Some factor that contributes to Energy consumption and conservation in multi studies have adjusted dwell time by delaying the departure of trains train networks. To improve Regenerative Energy Receptivity and Energy to synchronize acceleration and braking events. Applied control savings in a bidirectional Metro transit network, this study formulated a methods include predictive fuzzy control, search techniques, and coordinated train control algorithm that was based on genetic algorithm heuristics (2 4).
Tang, Dick, and Feng 49 the optimization framework, energy optimization potentials of transit systems with different synchronization times were compared.
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