0%. The second column represents matlab programming high eye force cases, and there are 50 images in matlab programming test phase that correspond to high eye pressure. The proposed framework detected 3 high eye force images as normal pressure, and 47 high eye force images as high eye pressure, so matlab programming accuracy for matlab programming high eye force is 94. 0%. As shown in matlab programming confusion matrix table, matlab programming ordinary accuracy Acc. for matlab programming proposed framework is 95. Train crashes cause critical casualties and lack of belongings. To reduce matlab programming damage brought on by train crashes, matlab programming crashworthiness of trains has been studied and obligatory criteria were based in many nations. Detailed design strategies for train crashworthiness and essential calculation circumstances are commonly considered in crashworthiness standards . In general, these crashworthiness standards are in keeping with multi stage energy absorption methods using passive safety coverage era, through which matlab deformable anti climber is fastened in matlab fixed place on either side of matlab programming end of matlab programming railway automobile to absorb matlab programming kinetic energy of matlab programming collision. Taking under consideration matlab programming railway vehicles coupling, anti climbing and energy absorption features, matlab programming longitudinal size of matlab programming deformable anti climber cannot exceed matlab programming longitudinal dimension of matlab programming coupler system. Large plastic deformations of matlab programming architecture occur only at matlab programming front end of matlab programming automobile cab to absorb matlab programming kinetic energy of matlab programming impact .