Scipediacontent: Scipediacontent moved page Draft Content 778747548 to Heydecker et al 2014a

2021-02-03T18:21:55Z

Scipediacontent moved page Draft Content 778747548 to Heydecker et al 2014a

Scipediacontent: Created page with " == Abstract == Non-Recurrent Congestion events (NRCs) frustrate commuters, companies and traffic operators because they cause unexpected delays. Most existing studies consid..."

2021-02-03T18:21:52Z

Created page with " == Abstract == Non-Recurrent Congestion events (NRCs) frustrate commuters, companies and traffic operators because they cause unexpected delays. Most existing studies consid..."

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== Abstract ==

Non-Recurrent Congestion events (NRCs) frustrate commuters, companies and traffic operators because they cause unexpected delays. Most existing studies consider NRCs to be an outcome of incidents on motorways. The differences between motorways and urban road networks, and the fact that incidents are not the only cause of NRCs, limit the usefulness of existing automatic incident detection methods for identifying NRCs on urban road networks. In this paper we propose an NRC detection methodology to support the accurate detection of NRCs on large urban road networks. To achieve this, substantially high Link Journey Time estimates (LJTs) on adjacent links that occur at the same time are clustered. Substantially high LJTs are defined as those LJTs that are greater than a threshold. The threshold is calculated by multiplying the expected LJTs with a congestion factor. To evaluate the effectiveness of the proposed NRC detection method, we propose two novel criteria. The first criterion, high-confidence episodes, assesses to what extent substantially high LJTs that last for a minimum duration are detected. The second criterion, the Localisation Index, assesses to what extent detected NRCs could be associated with incidents. The proposed NRC detection methodology is tested for London’s urban road network. The optimum value of the congestion factor is determined by sensitivity analysis by using a Weighted Product Model (WPM). It is found out those LJTs that are at least 40% higher than their expected values should belong to an NRC; as such NRCs are found to maintain the best balance between the proposed evaluation criteria.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_778747548-beopen6236-6657-document.pdf</pdf>

== Original document ==

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

* [http://dx.doi.org/10.1016/j.trc.2014.08.002 http://dx.doi.org/10.1016/j.trc.2014.08.002] under the license http://creativecommons.org/licenses/by-nc-nd/3.0

* [http://dx.doi.org/10.1016/j.trc.2014.08.002 http://dx.doi.org/10.1016/j.trc.2014.08.002] under the license http://creativecommons.org/licenses/by-nc-nd/3.0/

* [https://doi.org/10.1016/j.trc.2014.08.002 https://doi.org/10.1016/j.trc.2014.08.002] under the license cc-by-nc-nd

* [https://api.elsevier.com/content/article/PII:S0968090X14002186?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0968090X14002186?httpAccept=text/xml],
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: [http://dx.doi.org/10.1016/j.trc.2014.08.002 http://dx.doi.org/10.1016/j.trc.2014.08.002] under the license https://www.elsevier.com/tdm/userlicense/1.0/

* [https://discovery.ucl.ac.uk/id/eprint/1452647 https://discovery.ucl.ac.uk/id/eprint/1452647],
: [https://discovery.ucl.ac.uk/id/eprint/1452647/1/1-s2.0-S0968090X14002186-main.pdf https://discovery.ucl.ac.uk/id/eprint/1452647/1/1-s2.0-S0968090X14002186-main.pdf]

* [https://www.sciencedirect.com/science/article/pii/S0968090X14002186 https://www.sciencedirect.com/science/article/pii/S0968090X14002186],
: [https://discovery.ucl.ac.uk/1452647/1/1-s2.0-S0968090X14002186-main.pdf https://discovery.ucl.ac.uk/1452647/1/1-s2.0-S0968090X14002186-main.pdf],
: [https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.626381 https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.626381],
: [https://trid.trb.org/view/1330589 https://trid.trb.org/view/1330589],
: [https://core.ac.uk/display/82035442 https://core.ac.uk/display/82035442],
: [http://www.sciencedirect.com/science/article/pii/S0968090X14002186 http://www.sciencedirect.com/science/article/pii/S0968090X14002186],
: [https://discovery.ucl.ac.uk/id/eprint/1452647 https://discovery.ucl.ac.uk/id/eprint/1452647],
: [https://www.safetylit.org/citations/index.php?fuseaction=citations.viewdetails&citationIds[]=citjournalarticle_471818_38 https://www.safetylit.org/citations/index.php?fuseaction=citations.viewdetails&citationIds[]=citjournalarticle_471818_38],
: [https://academic.microsoft.com/#/detail/2109512243 https://academic.microsoft.com/#/detail/2109512243]

* [ ]

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Heydecker et al 2014a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 778747548 to Heydecker et al 2014a

Scipediacontent: Created page with " == Abstract == Non-Recurrent Congestion events (NRCs) frustrate commuters, companies and traffic operators because they cause unexpected delays. Most existing studies consid..."