Operation adjustment of urban rail transit trains under dynamic stochastic passengers
XU Hong
CHEN Nan
Abstract：This paper aims at reducing the train delay in urban rail transit,which is caused by dis-turbance from the random passenger arrivals.The dynamic changeable arrival rate of passengers is set as a random variable which follows a Poisson distribution.Appling stochastic programming theory,this paper proposes an expectation model for train operation which tries to minimize the deviations of the departure time of trains and the deviations of the time intervals between succes-sive arriving trains.The control strategy for adjusting the deviations is obtained by solving the model with the Kuhn-Tucker condition from optimal method.In the base of the real survey data, the simulation chapter obtains the delay of trains by simulating trains operate under the influence of random passenger arrivals and external factors.The paper also compares the deviations of de-parture time and the levels of optimization before and after using the adjustment strategy.In this way,the paper verifies that the designed strategy can effectively reduce the train delay by 25％, enabling the urban rail transit trains to operate more steadily according to the timetable.
Keywords：urban trafficdynamic stochastic passengersurban rail transit trainsoptimization methodKuhn-Tucker condition
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 55-60 )