Development of signal optimization models for asymmetric two-leg continuous flow intersections |
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| Institution: | 1. Department of Civil, Construction, and Environmental Engineering, San Diego State University, USA;2. Department of Civil and Environmental Engineering, University of Maryland, College Park, USA;1. Department of Electrical Engineering, Department of Architecture and Civil Engineering, 5433 EDIT Building, Chalmers University of Technology, Gothenburg SE-41296, Sweden;2. Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Si Pai Lou #2, Nanjing 210096, China;3. Department of Civil and Environmental Engineering, University of Wisconsin, Madison, 2205 Engineering Hall, 1415 Engineering Drive, Madison, WI 53706, United States;1. Ecole des Ponts ParisTech, France;2. Electrical and Computer Engineering, University of California, Santa Barbara, United States;3. Control and Automation Engineering, Yildiz Technical University, Turkey;4. Electrical Engineering and Computer Science, University of California, Berkeley, United States;1. Department of Civil and Environmental Engineering, University of Hawaii at Manoa, Honolulu, HI 96822, USA;2. Center for Urban Transportation Research, University of South Florida, Tampa, FL 33620, USA;3. Department of Civil and Environmental Engineering, University of Nevada, Reno, Reno, NV 89557, USA;1. Jiangsu Key Laboratory of Urban ITS, Southeast University, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Si Pai Lou #2, Nanjing 210096, China;2. Department of Civil & Environmental Engineering, University of Nevada, Reno, Reno, NV 89557, United States |
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| Abstract: | Despite extensive studies have been reported to address the operational issues of full Continuous Flow Intersection (CFI) in the literature, the asymmetric two-leg CFI, which is more applicable in practice, has not received adequate attentions yet. To satisfy such need, this study develops two signal optimization models for asymmetric CFI based on its unique geometric features. The first proposed model, following a two-step procedure, determines the cycle length, phase design and sequence, and green split in the first step and optimizes intersection offset in the second step. To benefit both intersections’ capacity maximization and signal progression design by optimizing phase plan and sequence, the second proposed model takes the Mixed-Integer-Linear-Programming (MILP) technique to concurrently optimize all signal control variables. With extensive case studies on a field site in Maryland, the simulation results prove that the proposed models can effectively provide signal progression to critical path-flows and prevent the potential queue spillover on the short turning bays/links. Further comparisons between the two proposed models reveal that the second model is more flexible in designing phase plan but the first model performs better in reducing link queue length. |
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| Keywords: | Asymmetric CFI Intersection capacity Signal progression Green band Phase sequence |
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