Driver profiling has a major impact on traffic safety, fuel consumption and gas emission. LSTM CNN based neural network models were developed to classify assess bus driver behavior characterized by deceleration, engine speed pedaling, corner turn lane change attempts. Deceleration, test scenarios performed concrete paved track while changing tests conducted commercial asphalt highway. Despite t...

In this paper, the problem of bus driver scheduling is introduced, and some of the constraints and conditions existing in different user environments are presented. The way in which such conditions may affect solution methods is discussed. The development of driver scheduling by computer through the five prevous Workshops is presented, and the range of solution methods as evidenced by published...

background and objectives: in many studies, chronic diseases are associated with incidence of driving accident. the main objective of the present study is investigation the effect of physical and mental disorders status of bus drivers on the occurrence of crashes. materials and methods: this research is a cross-sectional and descriptive-analytical study that was performed on 665 bus drivers' pu...

background and objectives: in many studies, chronic diseases are associated with incidence of driving accident. the main objective of the present study is investigation the effect of physical and mental disorders status of bus drivers on the occurrence of crashes. materials and methods: this research is a cross-sectional and descriptive-analytical study that was performed on 665 bus drivers' pu...