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Determination of Bus Crowding Coefficient Based on Passenger Flow Forecasting
المؤلفون المشاركون
Zuo, Zhongyi
Yin, Wei
Yang, Guangchuan
Zhang, Yunqi
Yin, Jiawen
Ge, Hongsheng
المصدر
Journal of Advanced Transportation
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-04-01
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
To improve bus passengers’ degree of comfort, it is necessary to determine the real-time crowd coefficient in the bus.
With this concern, this paper employed the RBF Neural Networks approach to predict the number of passengers in the bus based on historical data.
To minimize the impact of the randomness of passenger flow on the determination of bus crowd coefficient, a cloud model-based bus crowd coefficient identification method was proposed.
This paper first selected the performance measurements for determining bus crowd coefficient and calculated the digital characteristics of the cloud model based on the boundary values of the selected performance measures under six Levels-of-Service (LOSs).
Then the subclouds obtained under the six LOSs were synthesized into a standard cloud.
According to the predicted number of passengers in the bus, the passenger density and loading frequency were calculated, which were imported into the cloud generator to set up the bus crowd coefficient identification model.
By calculating the crowd degrees of identification cloud and template cloud at each site, this paper determined the crowed coefficient of each bus station.
Finally, this paper took the bus line No.
10 in Dalian city as case study to verify the proposed model.
It was found that the crowd coefficients of the selected route ranged from 60.265 to 109.825, and the corresponding LOSs ranged between C and F.
The method of discriminating bus crowding coefficient can not only effectively determine the congestion coefficient, but also effectively avoid the fuzziness and randomness of the crowding coefficient judgment in the bus, which has strong theoretical and practical significance.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zuo, Zhongyi& Yin, Wei& Yang, Guangchuan& Zhang, Yunqi& Yin, Jiawen& Ge, Hongsheng. 2019. Determination of Bus Crowding Coefficient Based on Passenger Flow Forecasting. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1169721
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zuo, Zhongyi…[et al.]. Determination of Bus Crowding Coefficient Based on Passenger Flow Forecasting. Journal of Advanced Transportation No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1169721
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zuo, Zhongyi& Yin, Wei& Yang, Guangchuan& Zhang, Yunqi& Yin, Jiawen& Ge, Hongsheng. Determination of Bus Crowding Coefficient Based on Passenger Flow Forecasting. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1169721
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1169721
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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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
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