محمدمهدي خزائي

In this thesis, the behavioral and cognitive methods of Lekotiran management in Iran have been investigated. This research aims to explore the key role of human factors in preventing accidents and increasing productivity through a rigorous and scientific analysis. By analyzing the collected data, including the attention network test, event-dependent potential recording and locomotion in the simulator by 30 basic locomotives of a railway company of the Islamic Republic of Iran, using one-way analysis of variance, the results show which affects effective performance skills. It has no significance on the quality of driving and railway accidents, but behavioral al‎e‎rtness and orientation have a significant effect on the driving of locomotive drivers. Also, the long times and the intensity of the components resulting from the event-dependent potential recording, including P1, N1, P3 and CNV, have a significant effect on the performance of locomotors. These findings can be used as a better way to design training programs and develop strategies to improve drivers' performance. This thesis is valuable not only for those who are interested in rail transport, but also for managers and planners at the macro level of the transport sector.

ايمني , لكوموتيوران , آزمون شبكه توجه , پتانسيل وابسته به رويداد , دستگاه شبيه ساز لكوموتيو , آزمون آناليز واريانس يك طرفه

safety , locomotive engineer , attention network test , event related potential , locomotive simulator , one way anova test

mohammad mahdi khazaei

morteza bagheri - reza mohammad hasani