Scipediacontent: Scipediacontent moved page Draft Content 760343795 to 238,295qv

2021-03-23T04:49:27Z

Scipediacontent moved page Draft Content 760343795 to 238,295qv

Scipediacontent: Created page with " == Abstract == This paper proposes a clustering approach to predict the probability of a collision occurring in the proximity of planned road maintenance operations (i.e., w..."

2021-03-23T04:47:30Z

Created page with " == Abstract == This paper proposes a clustering approach to predict the probability of a collision occurring in the proximity of planned road maintenance operations (i.e., w..."

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== Abstract ==

This paper proposes a clustering approach to predict the probability of a collision occurring in the proximity of planned road maintenance operations (i.e., work zones). The proposed method is applied to over 54,000 short-term work zones in the state of Maryland and demonstrates an ability to predict work zone collision probabilities. One of the key applications of this work is using the predicted probabilities at the operational level to help allocate highway response teams. To this end, a two-stage stochastic program is used to locate response vehicles on the Maryland highway network in order to minimize expected response times.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_760343795-beopen1464-3565-document.pdf</pdf>

== Original document ==

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

* [http://downloads.hindawi.com/journals/jat/2018/3179207.pdf http://downloads.hindawi.com/journals/jat/2018/3179207.pdf] under the license https://creativecommons.org/licenses/by

* [http://dx.doi.org/10.1155/2018/3179207 http://dx.doi.org/10.1155/2018/3179207] under the license cc-by

* [http://downloads.hindawi.com/journals/jat/2018/3179207.pdf http://downloads.hindawi.com/journals/jat/2018/3179207.pdf],
: [http://downloads.hindawi.com/journals/jat/2018/3179207.xml http://downloads.hindawi.com/journals/jat/2018/3179207.xml],
: [http://dx.doi.org/10.1155/2018/3179207 http://dx.doi.org/10.1155/2018/3179207] under the license http://creativecommons.org/licenses/by/4.0

* [http://dx.doi.org/10.1155/2018/3179207 http://dx.doi.org/10.1155/2018/3179207],
: [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 http://creativecommons.org/licenses/by/4.0/

* [https://www.hindawi.com/journals/jat/2018/3179207 https://www.hindawi.com/journals/jat/2018/3179207],
: [http://downloads.hindawi.com/journals/jat/2018/3179207.pdf http://downloads.hindawi.com/journals/jat/2018/3179207.pdf],
: [https://academic.microsoft.com/#/detail/2892375755 https://academic.microsoft.com/#/detail/2892375755]

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Scipediacontent: Scipediacontent moved page Draft Content 760343795 to 238,295qv

Scipediacontent: Created page with " == Abstract == This paper proposes a clustering approach to predict the probability of a collision occurring in the proximity of planned road maintenance operations (i.e., w..."