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http://hdl.handle.net/1942/31285
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DC Field | Value | Language |
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dc.contributor.author | FARRAG, Siham | - |
dc.contributor.author | EL HANSALI, Youssef | - |
dc.contributor.author | YASAR, Ansar | - |
dc.contributor.author | Shakshuki, Elhadi M. | - |
dc.contributor.author | Malik, Haroon | - |
dc.date.accessioned | 2020-06-11T12:50:46Z | - |
dc.date.available | 2020-06-11T12:50:46Z | - |
dc.date.issued | 2020 | - |
dc.date.submitted | 2020-05-22T00:38:01Z | - |
dc.date.submitted | 2020-07-16T10:07:56Z | - |
dc.identifier.citation | Journal of Ambient Intelligence and Humanized Computing, 11(12), p. 5857-5874 | - |
dc.identifier.issn | 1868-5137 | - |
dc.identifier.uri | http://hdl.handle.net/1942/31285 | - |
dc.description.abstract | Recently, simulation models have been widely used around the world to evaluate the performance of different traffic facilities and management strategies for efficient and sustainable transportation systems. One of the keys factors for ensuring the reliability of the models in reflecting local conditions is the calibration and validation of microsimulation models. The majority of the existing calibration efforts focus is on the experimental designs of driver behaviour and lane-changing parameters. Towards this end, this paper describes the necessary procedure for the calibration and validation of a microscopic model using the VISSIM software, during peak hours. The procedure is applied on Muscat Expressway in the Sultanate of Oman. The calibration parameters and the measure-of-effectiveness are identified by using multi-parameter sensitivity analysis. The optimum values for these parameters are obtained by minimising errors between simulated data and field data. In our proposed model, we used traffic volume and travel speed for model calibration, as well as average travel time for validation of the calibrated model. The achieved results showed that driving characteristics significantly impacted the merging/diverging traffic flow ratio in the merging area, the link length and the distance between on-ramps and off-ramps, as well as the percentage of heavy vehicles. The results also showed that having both the advanced merging and cooperative lane-change settings active, along with safety distance reduction factor, necessary lane change, minimum headway (front/rear), and emergency stop, had a significant influence on simulation precision, especially at on-ramps and off-ramps. Finally, our proposed model can be utilized as a base for future traffic strategy analysis and intelligent transportation systems evaluation to help decision makers with long-term and sustainable development decisions | - |
dc.language.iso | en | - |
dc.publisher | SpringerSPRINGER HEIDELBERG | - |
dc.rights | Springer-Verlag GmbH Germany, part of Springer Nature 2020 | - |
dc.subject.other | Sustainability | - |
dc.subject.other | Microscopic Simulation | - |
dc.subject.other | Driving behaviour | - |
dc.subject.other | Traffic incident management | - |
dc.title | A microsimulation-based analysis for driving behaviour modelling on a congested expressway | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 5874 | - |
dc.identifier.issue | 12 | - |
dc.identifier.spage | 5857 | - |
dc.identifier.volume | 11 | - |
local.format.pages | 18 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | malikh@marshall.edu | - |
dc.description.notes | Farrag, SG (corresponding author), Hasselt Univ, Transportat Res Inst, Hasselt, Belgium. | - |
dc.description.notes | siham.farrag@uhasselt.be; youssef.elhansali@uhasselt.be; | - |
dc.description.notes | ansar.yasar@uhasselt.be; elhadi.shakshuki@acadiau.ca; | - |
dc.description.other | Farrag, SG (corresponding author), Hasselt Univ, Transportat Res Inst, Hasselt, Belgium. siham.farrag@uhasselt.be; youssef.elhansali@uhasselt.be; ansar.yasar@uhasselt.be; elhadi.shakshuki@acadiau.ca; malikh@marshall.edu | - |
dc.description.other | Farrag, SG (corresponding author), Hasselt Univ, Transportat Res Inst, Hasselt, Belgium. siham.farrag@uhasselt.be; youssef.elhansali@uhasselt.be; ansar.yasar@uhasselt.be; elhadi.shakshuki@acadiau.ca; malikh@marshall.edu | - |
local.publisher.place | TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.source.type | Article | - |
dc.source.type | Article | - |
dc.identifier.doi | 10.1007/s12652-020-02098-5 | - |
dc.identifier.isi | 000534454100006 | - |
dc.contributor.orcid | Farag, Siham/0000-0002-1711-2960 | - |
dc.identifier.eissn | 1868-5145 | - |
local.provider.type | CrossRef | - |
local.provider.type | wosris | - |
local.uhasselt.uhpub | yes | - |
local.description.affiliation | [Malik, Haroon] Marshall Univ, Coll Engn & Comp Sci, Huntington, WV USA. | - |
local.description.affiliation | [Shakshuki, Elhadi M.] Acadia Univ, Jodrey Sch Comp Sci, Wolfville, NS, Canada. | - |
local.description.affiliation | [Farrag, Siham G.; El-Hansali, Moulay Youssef; Yasar, Ansar-Ul-Haque] Hasselt Univ, Transportat Res Inst, Hasselt, Belgium. | - |
local.uhasselt.international | yes | - |
item.contributor | FARRAG, Siham | - |
item.contributor | EL HANSALI, Youssef | - |
item.contributor | YASAR, Ansar | - |
item.contributor | Shakshuki, Elhadi M. | - |
item.contributor | Malik, Haroon | - |
item.fulltext | With Fulltext | - |
item.validation | ecoom 2021 | - |
item.fullcitation | FARRAG, Siham; EL HANSALI, Youssef; YASAR, Ansar; Shakshuki, Elhadi M. & Malik, Haroon (2020) A microsimulation-based analysis for driving behaviour modelling on a congested expressway. In: Journal of Ambient Intelligence and Humanized Computing, 11(12), p. 5857-5874. | - |
item.accessRights | Restricted Access | - |
crisitem.journal.issn | 1868-5137 | - |
crisitem.journal.eissn | 1868-5145 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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s12652-020-02098-5.pdf Restricted Access | Published version | 2.01 MB | Adobe PDF | View/Open Request a copy |
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