Real-Time Incident Detection and Capacity Estimation Using Loop Detector Data
Joint Authors
Rizvi, Syed Muzammil Abbas
Ahmed, Afzal
Shen, Yongjun
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-07
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1180713