Urban Rail Transit Train Regulation Based On Train Delay Reduction And Passenger’s Waiting Time

As the development of control techniques of trains operation, headway has been decreased obviously so that the efficiency of train operation can be increased. Under this situation, train delay propagation should be easily expanded if one train delays. Delay propagation not only influences other trains operation but also impacts the operation of whole urban rail transit system. Thus, train regulation becomes more and more important.At present, train regulation is mainly divided into two methods. One is train automatic adjustment which is based on ATS system, the other is artificial way. However, the train automatic adjustment deals with delayed-train only, ignoring the effects of delay propagation on other trains as well as passenger’s waiting time. In order to make train regulation more reliable, a model based on train delay time and passenger’s waiting time is built in this essay. This model is solved by genetic algorithm and simulated on Matlab. After simulating under different weight coefficients, comparing and analyzing the advantages and disadvantages of different solutions.Firstly, the common models and methods of train regulation are summarized and analyzed from the existing researches and studies of urban rail transit train regulation. In addition, the principles, characteristics, methods as well as the objectives of train regulation are described in this essay. Introducing the process of train automatic adjustment based on ATS system. Furthermore, classifying train delays, and explaining particular adjustment under every different delay situation. In the meantime, train diagram is described in mathematical way and the main factors which affect train operation are analyzed deeply. All these studies lay theoretical basis for building train regulation model.Secondly, the trains’total delay time and passenger’s total waiting time are setting as model’s optimization objective. What’s more, the minimum interval running time, minimum dwelling time, minimum headway and maximum assembling passengers on platform are applying as constraints in model. Considering maximum assembling passengers on platform is more practical in train regulation. Genetic algorithm is applied for calculating this mathematical model. It designs algorithm codes, initial population, fitness function and genetic operation in order to make the results more feasible.Finally, the train regulation of urban rail transit is simulated under the circumstances of Matlab system. The simulation results show that the train total delay time and passenger’s total waiting time are both optimized and train delay propagation is effectively controlled. According to the weight coefficients of (0.7,0.3), (0.5,0.5) and (0.3,0.7), train total delay time has been decreased by 13.44%,8.14% and 2.89% while passenger’s total waiting time decreased 1.96%,6.26% and 6.97% respectively based on single-delay situation. On the other hand, train total delay time has been decreased by 12.66%,9.18% and 8.23% while passenger’s total waiting time decreased by 1.22%, 6.88% and 11.96% respectively based on multi-delay situation. The analysis shows that the main methods of train regulation are speeding up between stations or expanding dwelling time in order to absorb more passengers. In addition, the results of simulation verify the feasibility of genetic algorithm which meet the real-time requirement of train regulation.