Geometric optimisation of chicanes using driving simulator trajectory data
Özet
Vertical traffic-calming applications may possess certain disadvantages. For instance, drivers sometimes apply a harsh brake very late or they may even prefer to accelerate rather than slow down to by-pass the suspension's shock threshold level. This has negative consequences on both vehicular and pedestrian traffic. In this study, the effects of chicanes-one of the most common horizontal speed reduction applications-on driver behaviour were examined and certain design characteristics were evaluated in the traffic laboratory of Akdeniz University in Turkey. To complete the driving tests safely and in an economical fashion, they were performed in a driving simulator. The trajectory data of some 125 drivers were saved by the simulator software. To examine these data in detail, a new method was developed using VisualLisp programming. The trajectory data were then transferred to an ArcGIS analysis program and the driving test data on the virtual chicanes were evaluated according to position and speed data. Finally, the optimum chicane design characteristics and their efficiency were determined.
Anahtar Kelimeler
Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Akgol, Kadir | |
| dc.contributor.author | Gunay, Banihan | |
| dc.contributor.author | Aydin, Metin Mutlu | |
| dc.date.accessioned | 2026-10-22T10:22:45.417428951Z | |
| dc.date.available | 2026-10-22T10:22:45.417428951Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | Vertical traffic-calming applications may possess certain disadvantages. For instance, drivers sometimes apply a harsh brake very late or they may even prefer to accelerate rather than slow down to by-pass the suspension's shock threshold level. This has negative consequences on both vehicular and pedestrian traffic. In this study, the effects of chicanes-one of the most common horizontal speed reduction applications-on driver behaviour were examined and certain design characteristics were evaluated in the traffic laboratory of Akdeniz University in Turkey. To complete the driving tests safely and in an economical fashion, they were performed in a driving simulator. The trajectory data of some 125 drivers were saved by the simulator software. To examine these data in detail, a new method was developed using VisualLisp programming. The trajectory data were then transferred to an ArcGIS analysis program and the driving test data on the virtual chicanes were evaluated according to position and speed data. Finally, the optimum chicane design characteristics and their efficiency were determined. | |
| dc.description.sponsorship | Akdeniz Üniversitesi, (FBA-2015-225) | |
| dc.description.sponsorship | Akdeniz Üniversitesi | |
| dc.identifier.doi | 10.1680/jtran.19.00019 | |
| dc.identifier.eissn | 1751-7710 | |
| dc.identifier.endpage | 248 | |
| dc.identifier.issn | 0965-092X | |
| dc.identifier.issue | 4 | |
| dc.identifier.scopus | 2-s2.0-85119493321 | |
| dc.identifier.startpage | 238 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/gumushane/14481 | |
| dc.identifier.volume | 175 | |
| dc.identifier.wos | WOS:000826906600006 | |
| dc.language.iso | en | |
| dc.publisher | ICE Publishing | |
| dc.relation.ispartof | Proceedings of the Institution of Civil Engineers: Transport | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | roads & highways | |
| dc.subject | traffic engineering | |
| dc.subject | transport management | |
| dc.subject.classification | Engineering, Civil | |
| dc.subject.classification | Transportation Science & Technology | |
| dc.subject.classification | Engineering | |
| dc.subject.classification | Transportation | |
| dc.subject.other | Turkey | |
| dc.subject.other | Highway engineering | |
| dc.subject.other | Software testing | |
| dc.subject.other | Trajectories | |
| dc.subject.other | By pass | |
| dc.subject.other | Design characteristics | |
| dc.subject.other | Driving simulator | |
| dc.subject.other | Driving test | |
| dc.subject.other | Geometric optimization | |
| dc.subject.other | Road & highway | |
| dc.subject.other | Traffic calming | |
| dc.subject.other | Traffic Engineering | |
| dc.subject.other | Trajectories datum | |
| dc.subject.other | Transport management | |
| dc.subject.other | car use | |
| dc.subject.other | data | |
| dc.subject.other | design | |
| dc.subject.other | geometry | |
| dc.subject.other | optimization | |
| dc.subject.other | road | |
| dc.subject.other | simulator | |
| dc.subject.other | traffic management | |
| dc.subject.other | trajectory | |
| dc.subject.other | Automobile simulators | |
| dc.title | Geometric optimisation of chicanes using driving simulator trajectory data | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| rdl.citation.openalex | 10 | |
| rdl.citation.scopus | 9 | |
| rdl.citation.wos | 11 | |
| rdl.oa.status | closed | |
| rdl.sdg | SDG11 | |
| rdl.source.index | SCOPUS | |
| rdl.source.index | WOS | |
| rdl.wos.index | Science Citation Index Expanded (SCI-EXPANDED) |

