Scipediacontent: Scipediacontent moved page Draft Content 658482526 to Rizvi et al 2020a

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Scipediacontent moved page Draft Content 658482526 to Rizvi et al 2020a

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Created page with " == Abstract == 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..."

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== Abstract ==

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.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_658482526-beopen808-4507-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.1155/2020/8857502 http://dx.doi.org/10.1155/2020/8857502] under the license https://creativecommons.org/licenses/by/4.0/

* [https://doi.org/10.1155/2020/8857502 https://doi.org/10.1155/2020/8857502]

* [http://downloads.hindawi.com/journals/jat/2020/8857502.pdf http://downloads.hindawi.com/journals/jat/2020/8857502.pdf],
: [http://downloads.hindawi.com/journals/jat/2020/8857502.xml http://downloads.hindawi.com/journals/jat/2020/8857502.xml],
: [http://dx.doi.org/10.1155/2020/8857502 http://dx.doi.org/10.1155/2020/8857502] under the license cc-by

* [http://dx.doi.org/10.1155/2020/8857502 http://dx.doi.org/10.1155/2020/8857502],
: [https://doaj.org/toc/0197-6729 https://doaj.org/toc/0197-6729],
: [https://doaj.org/toc/2042-3195 https://doaj.org/toc/2042-3195] under the license https://creativecommons.org/licenses/by/4.0/

* [https://www.hindawi.com/journals/jat/2020/8857502 https://www.hindawi.com/journals/jat/2020/8857502],
: [http://downloads.hindawi.com/journals/jat/2020/8857502.pdf http://downloads.hindawi.com/journals/jat/2020/8857502.pdf],
: [https://academic.microsoft.com/#/detail/3092196264 https://academic.microsoft.com/#/detail/3092196264]

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Rizvi et al 2020a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 658482526 to Rizvi et al 2020a

Scipediacontent: Created page with " == Abstract == 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..."