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Influence of priority taking and abstaining at single-lane roundabouts using cellular automata
Affiliation:1. University of Alaska Fairbanks, Department of Civil & Environmental Engineering, 306 Tanana Drive, Fairbanks, AK 99775-5960, United States;2. University of Vermont Transportation Research Center, 210 Colchester Ave., Farrell Hall, Burlington, VT 05405, United States;3. University of Vermont, Department of Civil & Environmental Engineering, 33 Colchester Ave., Burlington, VT 05401, United States;1. University of Coimbra, Rua Luís Reis Santos, 3030-788 Coimbra, Portugal;2. Polytechnic Intitute of Viseu, Campus Politécnico de Represes, 3504-510 Viseu, Portugal;3. School of Technology and Management, Polytechnic Institute of Leiria, Campus 2,Morro da Len –Alto do Vieiro,2411-901 Leiria, Portugal;1. School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China;2. Business School, University of Shanghai for Science and Technology, Shanghai 200093, China;3. College of Air Transportation, Shanghai University of Engineering Science, Shanghai 201620, China
Abstract:Existing roundabout simulation models fail to consider all types of driver behavior which compromises their accuracy and ability to accurately evaluate roundabout performance. Further, these non-compliant driver behaviors, including priority taking and priority abstaining, are inconsistent with existing traffic flow theories. In this paper, a new cellular automata model, C.A.Rsim, is developed and calibrated with field data from five single-lane roundabouts in four northeastern states. Model results indicate that approximately 20% of the individuals in the driver population are inclined to priority taking and approximately 20% are inclined to priority abstaining behavior, though the observed levels of these types of behavior are naturally lower and vary with traffic volume. The model results also corroborate other research indicating that current models can overestimate capacity at higher circulating volumes, possibly a result of the jamming effect produced by priority taking behavior. The reduction in priority abstaining behavior, which is observed at older roundabouts, significantly reduces delay and queue length in certain traffic volumes. C.A.Rsim is also more parsimonious than many existing microsimulation models. These results provide insight on how variations in conflicting flow (i.e., traffic volume and turning movement balance) impact the amount of observed non-compliant behavior.
Keywords:Roundabouts  Driver behavior  Cellular automata  Traffic simulation  Calibration
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