Modeling duration of overtaking in two lane highways |
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| Affiliation: | 1. Department of Applied Mechanics, Chalmers University of Technology, Gothenburg, Sweden;2. Department of Civil Engineering, University of Bologna, Bologna, Italy;3. Department of Risk Engineering, University of Tsukuba, Tsukuba, Japan;1. Department of Product and Systems Design Engineering, University of the Aegean, 2 Konstantinoupoleos, GR-84100 Ermoupolis, Syros, Greece;2. School of Mechanical Engineering, Sector of Industrial Management and Operations Research, Ergonomics Unit, National Technical University of Athens, 9 Iroon Politechniou, GR-15773 Zografou, Athens, Greece;1. School of Civil Engineering, The University of Queensland, St. Lucia 4072, Brisbane, Australia;2. School of Civil Engineering & Built Environment, Science and Engineering Faculty, Queensland University of Technology, 2 George St GPO Box 2434, Brisbane, Qld 4001, Australia;1. Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, China, 4800 Cao’an Road, Shanghai 201804, China;2. Civil and Environmental Engineering, University of Massachusetts Amherst, MA 01003, USA;1. University of Michigan Transportation Research Institute, 2901 Baxter Road, Ann Arbor, 48109, MI, USA;2. Toyota Research Institute, 2311 Green Road, Suite E, Ann Arbor, 48105, MI, USA |
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| Abstract: | The paper attempts to reveal which factors may influence the duration of overtaking in two lane highways. Questions such as what is the duration of young male and female drivers’ overtaking activities and, given that a driver conducts an overtaking maneuver, how long will it take, are addressed using classical survival analysis. Data are collected using a driving simulator. Different models are developed for describing the total overtaking duration, as well as the duration of the acceleration and back-to-lane phases. Results show that the duration of each of the phases of overtaking considered, as well as the total overtaking duration may be best described by a Log–logistic distribution. Analyses point out that, apart from the acceleration phase, the gender is a critical factor to the duration modeling. Other influential factors are the speed difference from the lead vehicle, the speed of opposing traffic, the spacing from the lead and opposing traffic, as well as whether the driver is engaged in multiple overtakes. Finally, the modeling implications to driving assistance systems are discussed. |
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| Keywords: | Overtaking Two lane highways Young drivers Parametric survival (hazard-based) duration modeling Log–logistic distribution |
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