Various standards for evaluating ride comfort of railway vehicles have been developed and used in many countries. In order to construct the mapping relationships of several ride comfort standards, prediction of ride comfort values had been studied. Firstly, track irregularities were generated by track spectrum, and were imported to ADAMS/Rail to obtain vibration accelerations of carbody. Secondly, ride comfort values were calculated according to the algorithm of ride comfort standards in MATLAB. Finally, prediction model based on back propagation (BP) artificial neural network (ANN) was constructed, and genetic algorithm (GA) was adopted to optimize the connecting weights and thresholds of BP ANN. Then, the prediction model based on traditional BP ANN and GA-BP ANN were respectively conducted as a case study to validate the feasibility and reliability of the method proposed in this paper. The results show that GA-BP prediction model has higher prediction accuracy and stronger generalization ability than traditional BP prediction model in prediction of ride comfort values.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Prediction of Ride Comfort Values Based on GA-BP Neural Network


    Contributors:
    Liu, Song (author) / Qin, Yong (author) / Xing, Zong-yi (author)

    Conference:

    First International Conference on Transportation Information and Safety (ICTIS) ; 2011 ; Wuhan, China


    Published in:

    ICTIS 2011 ; 2226-2234


    Publication date :

    2011-06-16




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Study on Ride Comfort Indices Correlation Analysis Based on BP Neural Network

    Qin, Yong / Xue, Yu / Xing, Zong-yi et al. | ASCE | 2011


    Ride Comfort Measurements

    Fernandes, Claudio Gomes / Massa, Luiz Carlos / Sato, Roberto Kiyoshi | SAE Technical Papers | 2005


    ELEVATOR RIDE COMFORT DIAGNOSTIC DEVICE AND RIDE COMFORT DIAGNOSTIC METHOD

    SAKATA YOSHIKI | European Patent Office | 2017

    Free access

    Evaluation of ride comfort

    Cucuz,S. / Tech.Univ.Braunschweig,Inst.f.Fahrzeugtechnik,DE | Automotive engineering | 1994


    Comparative Ride Comfort Studies

    Payne, Peter | Online Contents | 1997