Research on Operation Characteristics and Safety Risk Forecast of Bus Driven by Multisource Forewarning Data
المؤلفون المشاركون
Deng, Shejun
Yu, Hongru
Lu, Caoye
المصدر
Journal of Advanced Transportation
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-19، 19ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-12-18
دولة النشر
مصر
عدد الصفحات
19
التخصصات الرئيسية
الملخص EN
To prevent and control public transport safety accidents in advance and guide the safety management and decision-making optimization of public transport vehicles, based on the forewarning and other multisource data of public transport vehicles in Zhenjiang, holographic portraits of public transport safety operation characteristics are constructed from the perspectives of time, space, and driver factors, and a prediction model of fatigue driving and driving risk of bus drivers based on BP neural network is constructed.
Finally, model checking and virtual simulation experiments are carried out.
The result of the research shows that the driver’s fatigue risk during the period of 7 : 00-8 : 00 am is much higher than other periods.
When the bus speed is about 30 km/h, the driver fatigue forewarning events occur the most.
Drivers aged 30–34 years have the largest proportion of vehicle abnormal forewarning, drivers aged 40–44 years have the largest proportion of fatigue forewarning events, and drivers with a driving experience of 15–19 years have the largest overall proportion of various forewarning events.
When the vehicle speed range is (18, 20) km/h and (42, 45) km/h, the probability of fatigue driving risk and driving risk forewarning increases sharply; and when the vehicle speed is lower than 17 km/h or 41 km/h, the probability of fatigue driving risk and driving risk forewarning, respectively, is almost zero.
The probability of fatigue forewarning during low peak hours on rainy days is about 30% lower than that during peak hours.
The probability of driving forewarning during flat peak hours is 15% higher than that during low peak hours and about 10% lower than that during peak hours.
This paper realized for the first time the use of real forewarning data of buses in the full time, the whole region, and full cycle to carry out research.
Related results have important theoretical value and practical significance for scientifically guiding the safety operation and emergency management strategies of buses, improving the service level of bus passenger transportation capacity and safety operation, and promoting the safety, health, and sustainable development of the public transportation industry.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Deng, Shejun& Yu, Hongru& Lu, Caoye. 2020. Research on Operation Characteristics and Safety Risk Forecast of Bus Driven by Multisource Forewarning Data. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1175902
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Deng, Shejun…[et al.]. Research on Operation Characteristics and Safety Risk Forecast of Bus Driven by Multisource Forewarning Data. Journal of Advanced Transportation No. 2020 (2020), pp.1-19.
https://search.emarefa.net/detail/BIM-1175902
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Deng, Shejun& Yu, Hongru& Lu, Caoye. Research on Operation Characteristics and Safety Risk Forecast of Bus Driven by Multisource Forewarning Data. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1175902
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1175902
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر