Vehicle Fuel Consumption Prediction Method Based on Driving Behavior Data Collected from Smartphones
المؤلفون المشاركون
Su, Yuelong
Dong, Zhenning
Zhang, Yunlong
Yao, Ying
Zhao, Xiaohua
Liu, Chang
Rong, Jian
المصدر
Journal of Advanced Transportation
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-03-23
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Transportation is an important factor that affects energy consumption, and driving behavior is one of the main factors affecting vehicle fuel consumption.
The purpose of this paper is to improve fuel consumption monitoring databases based on mobile phone data.
Based on the mobile phone terminals and on-board diagnostic system (OBD) installed in taxis, driving behavior data and fuel consumption data are extracted, respectively.
By matching the driving behavior data collected by a mobile phone with the fuel consumption data collected by OBD, the correlation between driving behavior and fuel consumption is explored, so that vehicle fuel consumption could be predicted based on mobile phone data.
The fuel consumption prediction models are built using back propagation (BP) neural network, support vector regression (SVR), and random forests.
The results show that the average speed, average speed except for idle (ASEI), average acceleration, average deceleration, acceleration time percentage, deceleration time percentage, and cruising time percentage are important indicators for fuel consumption evaluation.
All three models could predict fuel consumption accurately, with an absolute relative error less than 10%.
The random forest model is proved to have the highest accuracy and runs faster, making it suitable for wide application.
This method lays a foundation for monitoring database improvement and fine management of urban transportation fuel consumption.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yao, Ying& Zhao, Xiaohua& Liu, Chang& Rong, Jian& Zhang, Yunlong& Dong, Zhenning…[et al.]. 2020. Vehicle Fuel Consumption Prediction Method Based on Driving Behavior Data Collected from Smartphones. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1181088
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yao, Ying…[et al.]. Vehicle Fuel Consumption Prediction Method Based on Driving Behavior Data Collected from Smartphones. Journal of Advanced Transportation No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1181088
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yao, Ying& Zhao, Xiaohua& Liu, Chang& Rong, Jian& Zhang, Yunlong& Dong, Zhenning…[et al.]. Vehicle Fuel Consumption Prediction Method Based on Driving Behavior Data Collected from Smartphones. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1181088
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1181088
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