Workload of passenger train driver at different roads and driving regimes
نویسندگان
چکیده
منابع مشابه
Passenger Train Delay Classification
One of the most popular data mining areas, which estimate future trends of data, is classification. This research is dedicated to predict Iranian passenger train delay with high accuracy over Iranian railway network. A hybrid method based on neuro-fuzzy inference system and Two-step clustering is used for this purpose. The results indicate that the hybrid method is superior over the other commo...
متن کاملPassenger Centric Train Timetabling Problem
The aim of this paper is to analyze and to improve the current planning process of the passenger railway service in light of the recent railway market changes. In order to do so, we introduce the Passenger Centric Train Timetabling Problem. The originality of our approach is that we account for the passenger satisfaction in the design of the timetable. We consider both types of timetable(s): cy...
متن کاملeffect of seed priming and irrigation regimes on yield,yield components and quality of safflowers cultivars
این مطالعه در سال 1386-87 در آزمایشگاه و مزرعه پژوهشی دانشگاه صنعتی اصفهان به منظور تعیین مناسب ترین تیمار بذری و ارزیابی اثر پرایمینگ بر روی سه رقم گلرنگ تحت سه رژیم آبیاری انجام گرفت. برخی از مطالعات اثرات سودمند پرایمینگ بذر را بر روی گیاهان مختلف بررسی کرده اند اما در حال حاضر اطلاعات کمی در مورد خصوصیات مربوط به جوانه زنی، مراحل نموی، عملکرد و خصوصیات کمی و کیفی بذور تیمار شده ژنوتیپ های م...
Mental workload and driving
The aim of this review is to identify the most representative measures of subjective and objective mental workload in driving, and to understand how the subjective and objective levels of mental workload influence the performance as a function of situation complexity and driving experience, i.e., to verify whether the increase of situation complexity and the lack of experience increase the subj...
متن کاملPassenger Train Delay Classification The
One of the most popular data mining areas, which estimate future trends of data, is classification. This research is dedicated to predict Iranian passenger train delay with high accuracy over Iranian railway network. A hybrid method based on neuro-fuzzy inference system and Two-step clustering is used for this purpose. The results indicate that the hybrid method is superior over the other commo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Hygiene and sanitation
سال: 2019
ISSN: 2412-0650,0016-9900
DOI: 10.18821/0016-9900-2016-95-4-361-365