Energy-saving optimization of train on urban rail transit network

Aiming at the current energy-saving optimization, researches of train are mostly given priority to sections and lines. Firstly, this paper took the section energy-saving optimization of a single line as the research object, and set the step-length to bring about the transition of operational mode from the time-saving to energy-saving. Secondly, it constructed a knapsack problem to come true the energy-saving optimization of line via distributing reserve time of it. Then considering the transfer constraint, we built the train energy-saving optimization model of urban rail transit network and resolved the model by genetic- annealing algorithm. Finally, we took a simple network as an example to illustrate the maneuverability of the method. Results show that the optimization is reasonable and effective. Considering the transfer between lines, the energy-saving ratios relative to the time-saving pattern are 41.54%, 40.57% and 33.84%. And compared with the timing pattern, the train energy consumptions increase respectively only by 13.14%, 12.81% and 14.64%.