Publication:
Method for Modeling Lane-Based Driving Discipline of Drivers on Divided Multilane Urban Roads

dc.authorscopusid57202239674
dc.authorwosidAydin, Metin Mutlu/I-6943-2017
dc.authorwosidAydin, Metin/I-6943-2017
dc.contributor.authorAydin, Metin Mutlu
dc.contributor.authorIDAydin, Metin Mutlu/0000-0001-9470-716X
dc.date.accessioned2025-12-11T00:52:32Z
dc.date.issued2021
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Aydin, Metin Mutlu] Ondokuz Mayis Univ, Fac Engn, Dept Civil Engn, Div Transportat, TR-55200 Samsun, Turkeyen_US
dc.descriptionAydin, Metin Mutlu/0000-0001-9470-716X;en_US
dc.description.abstractLane-based driving (lane-keeping) problems generally prevail in undeveloped and developing countries, where drivers' lane-keeping behaviors are fairly weak for reasons such as poor surface conditions, undisciplined driving, low-quality lane line visibility, inappropriate number of lanes and lane width, and nonexistence of raised lane lines with vibration. Drivers' undisciplined lane-based driving behaviors generally cause an increase in dangerous lateral interactions between vehicles. Thus, problems such as irregular lane utilization, difficulties in traffic management, arbitrary lane changing, and illegal overtaking can be observed on divided multilane urban roads. It is necessary to investigate lane-keeping violations on urban roads to find causal parameters and thereafter formulate suitable solutions. This studied aimed to model lane-based driving behavior by considering the parameters of road geometry (e.g., lane width and number of lanes), vehicle type (passenger car, minibus, light commercial vehicle, midibus, bus, truck, lorry) and traffic flow (volume, heavy vehicle ratio, speed, vehicles in adjacent lanes, and roadside parking) on major urban divided roads in three Turkish cities. For this purpose, lateral position data were collected. A probit regression (PR) analysis was conducted to model the relationship between lane-based driving behavior and the examined parameters. It was found that lane width and lane volume have a positive effect, and heavy vehicle ratio (%), vehicle width, speed, and number of lanes have a negative effect as covariates of the proposed model. Numerical tests also showed the developed PR model to be statistically significant and to have a good ability to fit the observed and predicted data for the examined parameters.en_US
dc.description.woscitationindexScience Citation Index Expanded - Social Science Citation Index
dc.identifier.doi10.1061/JTEPBS.0000509
dc.identifier.issn2473-2907
dc.identifier.issn2473-2893
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85100951851
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1061/JTEPBS.0000509
dc.identifier.urihttps://hdl.handle.net/20.500.12712/39879
dc.identifier.volume147en_US
dc.identifier.wosWOS:000672252000009
dc.identifier.wosqualityQ3
dc.institutionauthorAydin, Metin Mutlu
dc.language.isoenen_US
dc.publisherASCE-Amer Soc Civil Engineersen_US
dc.relation.ispartofJournal of Transportation Engineering Part A-Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLane-Keeping Disciplineen_US
dc.subjectLateral Positionen_US
dc.subjectUrban Roadsen_US
dc.subjectTraffic Flowen_US
dc.subjectDriver Attitudeen_US
dc.titleMethod for Modeling Lane-Based Driving Discipline of Drivers on Divided Multilane Urban Roadsen_US
dc.typeArticleen_US
dspace.entity.typePublication

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