Construction of Multidimensional Operation Conditions for Urban Rail Transit Tram
In order to accurately reflect the instantaneous driving characteristics of energy storage tram,a multi-dimensional Markov chain based condition construction method is proposed.Firstly,the data of Beijing modern tram West Suburban line is used to establish specimen data pool,and extract the three parameters that reflect the highest contribution rate of driving characteristics from the feature parameters to reduce the dimension,and divide the short journey types according to the parameter style of the score matrix.Secondly,construct Markov state transition space with train running speed,average acceleration and road slope as inputs.Exercising the way of conjunction spread function with stochastic sampling to form stochastic numbers to emerge the next time condition,so as to obtain the real-time condition.Finally,a comparative analysis of the different dimensions of the construction of urban tram working conditions.The simulation outcome indicates that the offset of feature arguments from the average value of the sample and the transient error of the running speed are the lowest in the three-dimensional state space.The speed and power history have the strongest spatiotemporal correlation and robustness to the operation scenario.Compared with the traditional one-dimensional method and the improved two-dimensional method,the driving range of tram increased by 93.5％ and 23.9％,respectively.The effectiveness and superiority of improving the dimension of Markov chain to deduce the actual working conditions of trams are verified.
Urban rail transit tramconditions constructionmultidimensional Markov chainstate transition probability matrix
万方数据
维普
