Scipediacontent: Scipediacontent moved page Draft Content 412678533 to Guo et al 2018a

2021-02-12T12:40:21Z

Scipediacontent moved page Draft Content 412678533 to Guo et al 2018a

Scipediacontent: Created page with " == Abstract == New technologies and traffic data sources provide great potential to extend advanced strategies in freeway safety research. The High Definition Monitoring Sys..."

2021-02-12T12:40:18Z

Created page with " == Abstract == New technologies and traffic data sources provide great potential to extend advanced strategies in freeway safety research. The High Definition Monitoring Sys..."

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== Abstract ==

New technologies and traffic data sources provide great potential to extend advanced strategies in freeway safety research. The High Definition Monitoring System (HDMS) data contribute comprehensive and precise individual vehicle information. This paper proposes an innovative Variable Speed Limit (VSL) based approach to manage crash risks by intervening in traffic flow dynamics on freeways using HDMS data. We first conducted an empirical analysis on real-time crash risk estimation using a binary logistic regression model. Then, intensive microscopic simulations based on AIMSUN were carried out to explore the effects of various intervention strategies with respect to a 3-lane freeway stretch in China. Different speed limits with distinct compliance rates under specified traffic conditions have been simulated. By taking into account the trade-off between safety benefits and delay in travel time, the speed limit strategies were optimized under various traffic conditions and the model with gradient feedback produces more satisfactory performance in controlling real-time crash risks. Last, the results were integrated into lane management strategies. This research can provide new ideas and methods to reveal the freeway crash risk evolution and active traffic management.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_412678533-beopen201-5848-document.pdf</pdf>

== Original document ==

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

* [http://downloads.hindawi.com/journals/jat/2018/3610541.pdf http://downloads.hindawi.com/journals/jat/2018/3610541.pdf] under the license https://creativecommons.org/licenses/by

* [http://dx.doi.org/10.1155/2018/3610541 http://dx.doi.org/10.1155/2018/3610541] under the license cc-by

* [http://downloads.hindawi.com/journals/jat/2018/3610541.pdf http://downloads.hindawi.com/journals/jat/2018/3610541.pdf],
: [http://downloads.hindawi.com/journals/jat/2018/3610541.xml http://downloads.hindawi.com/journals/jat/2018/3610541.xml],
: [http://dx.doi.org/10.1155/2018/3610541 http://dx.doi.org/10.1155/2018/3610541] under the license http://creativecommons.org/licenses/by/4.0

* [http://dx.doi.org/10.1155/2018/3610541 http://dx.doi.org/10.1155/2018/3610541],
: [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/2018/3610541 https://www.hindawi.com/journals/jat/2018/3610541],
: [http://downloads.hindawi.com/journals/jat/2018/3610541.pdf http://downloads.hindawi.com/journals/jat/2018/3610541.pdf],
: [https://research-repository.uwa.edu.au/en/publications/enhancing-freeway-safety-through-intervening-in-traffic-flow-dyna https://research-repository.uwa.edu.au/en/publications/enhancing-freeway-safety-through-intervening-in-traffic-flow-dyna],
: [https://academic.microsoft.com/#/detail/2892811582 https://academic.microsoft.com/#/detail/2892811582]

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Guo et al 2018a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 412678533 to Guo et al 2018a

Scipediacontent: Created page with " == Abstract == New technologies and traffic data sources provide great potential to extend advanced strategies in freeway safety research. The High Definition Monitoring Sys..."