In modern urban rail transit systems, energy-saving optimization of driving strategies is becoming more and more crucial. This article proposes a coast optimization method based on an improved artificial bee colony algorithm named RR-ABC. In addition to energy saving, punctuality and comfort are also used to build the multi-objective optimization model. In order to get more realistic results, EBI (emergency braking intervention) protection is added to the optimization model. Different with classic ABC algorithm, RR-ABC performs better at local search and initialization. Finally, several simulation cases based on real data from Qingdao metro line 6 are made. The results show that the energy saving rate is 11.55% while meeting the requirements of punctuality and comfort.
A Novel Energy-Saving Speed Curve Optimization Method in URT
Lect. Notes Electrical Eng.
International Conference on Intelligent Transportation Engineering ; 2021 ; Beijing, China October 29, 2021 - October 31, 2021
2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021) ; Chapter : 96 ; 1093-1105
2022-06-01
13 pages
Article/Chapter (Book)
Electronic Resource
English
A Novel Energy-Saving Speed Curve Optimization Method in URT
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