Real-Time Incident Detection and Capacity Estimation Using Loop Detector Data
المؤلفون المشاركون
Rizvi, Syed Muzammil Abbas
Ahmed, Afzal
Shen, Yongjun
المصدر
Journal of Advanced Transportation
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-10-07
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Given the fact that the existing literature lacks the real-time estimation of road capacity and incident location using data from inductance loop detectors, a data-driven framework is proposed in this study for real-time incident detection, as well as road capacity and incident location estimation.
The proposed algorithm for incident detection is developed based on the variation in traffic flow parameters acquired from inductance loop detectors.
Threshold values of speed and occupancy are determined for incident detection based on the PeMS database.
The detection of the incident is followed by the real-time road capacity and incident location estimation using a Cell Transmission Model (CTM) based approach.
The data of several incidents were downloaded from PeMS and used for the development of the proposed framework presented in this study.
Results show that the developed framework detects the incident and estimates the reduced capacity accurately.
The location of the incident is estimated with an overall accuracy of 92.5%.
The performance of the proposed framework can be further improved by incorporating the effect of the on-ramps, off-ramps, and high-occupancy lanes, as well as by modeling each lane separately.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Rizvi, Syed Muzammil Abbas& Ahmed, Afzal& Shen, Yongjun. 2020. Real-Time Incident Detection and Capacity Estimation Using Loop Detector Data. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1180713
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Rizvi, Syed Muzammil Abbas…[et al.]. Real-Time Incident Detection and Capacity Estimation Using Loop Detector Data. Journal of Advanced Transportation No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1180713
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Rizvi, Syed Muzammil Abbas& Ahmed, Afzal& Shen, Yongjun. Real-Time Incident Detection and Capacity Estimation Using Loop Detector Data. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1180713
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1180713
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