| In recent years,smart technologies and intelligence have become one of the important development directions of China’s railway industry.The Automatic Train Operation(ATO)system has greatly reduced labor costs,and has improved transportation capacity and driving safety.In this way,it seems that the replacement of human driving by autonomous driving is just around the corner.At present,the ATO has been applied on some lines,but due to the different conditions and operational requirements of different lines,the system cannot be fully intelligent to ensure that the operation effect is in line with expectations.In addition,some experts’ subjectively judgement of the car control effect of the ATO system is just based on experience,which is greatly affected by the uncertainty of subjective emotions and cognition,so the accuracy of the evaluation results cannot be guaranteed.Therefore,it is necessary to continue to deepen and carry out research in this area.The core content of the automatic driving system is the automatic speed control algorithm.The comprehensive evaluation of the algorithm can intuitively display the control effect of the ATO system on the train,and point out the drawbacks of the current algorithm,which is of guiding significance for the optimization of the automatic driving technology.The main work of this thesis is as follows:(1)The evaluation method of automatic control system is introduced into the evaluation of ATO automatic speed control,which can judge the advantages and disadvantages of ATO automatic speed control not only from the train operation results,but also from the control effect of the whole train operation process.The evaluation indexes are expanded to seven,namely comfort,efficiency,stability,energy saving,accuracy,economy and robustness.(2)Analyze the train control logic of ATO automatic speed control and determine the evaluation method and optimal range of different indexes.Decompose the indicators with many influencing factors and difficult to quantify,so as to make the evaluation process clearer.The indicators are measured in the way of hundred-mark system,so as to simply show the advantages and disadvantages of different indicators.(3)Analyze the relationship between different indicators and optimize the combination weighting method,so that the evaluation results can not only meet people’s subjective needs,but also reflect the relationship between data.After verification,the improved combination weighting method is more in line with the importance of the index itself.(4)Based on the evaluation idea of the paper,Visual Studio 2019 is used as the development tool and C++ is used to design the software of the comprehensive evaluation system.It realizes the reading of driving record data,comprehensive evaluation of ATO automatic speed control,evaluation results and driving data display.The thesis evaluates the ATO system from seven aspects: comfort,efficiency,stability,energy saving,accuracy,robustness and economy.The comprehensive evaluation results are obtained by the optimized combination weighting method.The model is verified by "field data of Guangqing,Guangfozhao,Suiguanshen Intercity Railway".The results show that the comprehensive evaluation model of ATO automatic speed control can correctly evaluate ATO and distinguish the differences of train operation between different stations. |