A Genetic Algorithm Based Train Speed Regulation Optimization
Free (open access)
791 - 802
C. Rongwu, Y. Tao & B. R. Bisrat
The intelligent train speed regulation algorithm plays a very important role in the automatic train control system. A genetic algorithm based time precision train speed regulation for the energy consumption optimization algorithm of a Communication Based Train Control System (CBTC) is studied in this paper. Compared to traditional performance level commands, which were generated by the Automatic Train Supervision (ATS) subsystem, the enhanced genetic algorithm based train speed regulation algorithm can be used to save energy consumption and improve passenger travel comfort at each defined inter-section of travel time. In this algorithm, each travel time target speed will be reflected by its particular speed profile, which has been optimized by the genetic algorithm with the object of energy saving. In the CBTC system, with the adoption of the bandwidth network of the train-wayside communication, this optimization process can be carried out offline or online in the ATS subsystem and transmit to the onboard Automatic Train Operation (ATO) subsystem to guide train operation control. Keywords: genetic algorithm, time precision, energy saving, CBTC, train speed regulation, performance level.
genetic algorithm, time precision, energy saving, CBTC, train speed regulation, performance level.