Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Tongqiang Ding"'
Publikováno v:
IEEE Access, Vol 12, Pp 171348-171367 (2024)
Currently, there is a lack of a comprehensive and integrated method for assessing risk levels of bus drivers. This study utilizes XGBOOST and Logistic regression models to analyze the impact of various indicator features of bus drivers on crash risks
Externí odkaz:
https://doaj.org/article/81398b851b944112988f832c0a0e4581
Publikováno v:
IEEE Access, Vol 12, Pp 118533-118550 (2024)
In today’s society, the harm of driving anger to traffic safety is increasingly prominent. With the development of human-computer interaction and intelligent transportation systems, the application of biometric technology in driver emotion recognit
Externí odkaz:
https://doaj.org/article/0c6aafec794a436bb18b0f7624992b0c
Publikováno v:
Entropy, Vol 26, Iss 6, p 434 (2024)
The road passenger transportation enterprise is a complex system, requiring a clear understanding of their active safety situation (ASS), trends, and influencing factors. This facilitates transportation authorities to promptly receive signals and tak
Externí odkaz:
https://doaj.org/article/9473a73ac6f645b7a097af36cb4c3d29
Publikováno v:
Mathematics, Vol 12, Iss 2, p 291 (2024)
In order to provide urban freight vehicles with navigation routes that better align with their travel preferences, it is necessary to analyze the patterns and characteristics of their route choices. This paper focuses on freight vehicles traveling wi
Externí odkaz:
https://doaj.org/article/98a99ec5c03c4e0298d90e07d4376412
Publikováno v:
Applied Sciences, Vol 14, Iss 1, p 279 (2023)
A city bus carries a large number of passengers, and any traffic accidents can lead to severe casualties and property losses. Hence, predicting the likelihood of accidents among bus drivers is paramount. This paper considered occupational driving cha
Externí odkaz:
https://doaj.org/article/83f9f1001b2b47369fb676fd028120c2
Publikováno v:
PLoS ONE, Vol 18, Iss 10, p e0293307 (2023)
Research on road safety has focused on analyzing the factors that affect crashes. However, previous studies have often neglected differences in crash causation among heterogeneous clusters of drivers. In particular, the differences in the combined ef
Externí odkaz:
https://doaj.org/article/7a89ca581e40456db159d0d64a740859
Classification of Driver Distraction Risk Levels: Based on Driver’s Gaze and Secondary Driving Tasks
Publikováno v:
Mathematics, Vol 10, Iss 24, p 4806 (2022)
Driver distraction is one of the significant causes of traffic accidents. To improve the accuracy of accident occurrence prediction under driver distraction and to provide graded warnings, it is necessary to classify the level of driver distraction.
Externí odkaz:
https://doaj.org/article/4395bb9913714246a64a0feeeb110cd5
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 100 (2022)
To explore the influence of the health psychology characteristics of bus driver on the probability of traffic accidents, such as the severity of unhealthy psychology and negative and impulsive personality. Combined with the demographic questionnaire,
Externí odkaz:
https://doaj.org/article/6d697ecf3b91425085b888994ccddd65
Publikováno v:
Mathematics, Vol 10, Iss 22, p 4354 (2022)
Previous studies have shown that bus drivers are a major contributing factor to bus accidents. The aim of this study is to explore the factors that contribute to the presence of accident propensity among bus drivers, as well as the relative importanc
Externí odkaz:
https://doaj.org/article/6626e42f46004d1fb030de3184edd464
Publikováno v:
Advances in Civil Engineering, Vol 2021 (2021)
In order to comprehensively analyze the risk factors and accurately find the high risk factors related to accidents, an analysis model of risk factors of urban bus operation is proposed, in which the advantages of the structural analysis of the Fault
Externí odkaz:
https://doaj.org/article/7b1059d9eb524390976b50f2f9412398