Identifying Recurring Bottlenecks on Urban Expressway Using a Fusion Method Based on Loop Detector Data
المؤلفون المشاركون
Tang, Li
Zhang, Xuejun
Wang, Yifeng
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-08-18
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
The accurate identification of recurrent bottlenecks has been an important assumption of many studies on traffic congestion analysis and management.
As one of the most widely used traffic detection devices, loop detectors can provide reliable multidimensional data for traffic bottleneck identification.
Although great efforts have been put on developing bottleneck identification methods based on loop detector data, the existing studies are less informative with respect to providing accurate position of the bottlenecks and discussing the algorithm efficiency when facing with large amount of real-time data.
This paper aims at improving the quality of bottleneck identification as well as avoiding excessive data processing burden.
A fusion method of loop detector data with different collection cycles is proposed.
It firstly determines the occurrence and the approximate locations of bottlenecks using large cycle data considering its high accuracy in determining bottlenecks occurrence.
Then, the small cycle data are used to determine the accurate location and the duration time of the bottlenecks.
A case study is introduced to verify the proposed method.
A large set of 30 s raw loop detector data from a selected urban expressway segment in California is used.
Also, the identification result is compared with the classical transformed cumulative curves method.
The results show that the fusion method is valid with bottleneck identification and location positioning.
We finally conclude by discussing some future improvements and potential applications.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tang, Li& Wang, Yifeng& Zhang, Xuejun. 2019. Identifying Recurring Bottlenecks on Urban Expressway Using a Fusion Method Based on Loop Detector Data. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1196246
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tang, Li…[et al.]. Identifying Recurring Bottlenecks on Urban Expressway Using a Fusion Method Based on Loop Detector Data. Mathematical Problems in Engineering No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1196246
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tang, Li& Wang, Yifeng& Zhang, Xuejun. Identifying Recurring Bottlenecks on Urban Expressway Using a Fusion Method Based on Loop Detector Data. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1196246
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1196246
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