The application discloses a kind of wisdom
rail line network synergic carbon reduction operation optimization method,
system and equipment, it is related to urban
public transport energy-saving scheduling and low-carbon operation technical field, it is based on the dynamics characteristics of wisdom rail vehicle and
power grid carbon emission factor to construct the quantification model of fine section level
energy consumption and carbon emission, utilize
deep learning network to fuse multi-
source data to carry out cross-line short-time passenger flow prediction, and real-time passenger flow demand,
energy consumption carbon emission index and intersection
signal phase time window constraint are unified into multi-objective collaborative optimization framework, by the mixed integer
linear programming solution under rolling
horizon, the joint optimization and dynamic closed-
loop control of dispatch interval, section
operating speed and road right strategy are realized, so that on the premise of guaranteeing passenger flow transport demand and
service quality, the
total energy consumption and carbon emission of wisdom
rail line network are significantly reduced, and the energy-saving and carbon-reducing operation goal of line
network level is achieved.