Quasi-optimal feedback control for an isolated intersection under oversaturation |
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| Institution: | 1. School of Transportation Science and Engineering, Beihang University, Beijing, China;2. Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109, USA;3. University of Michigan Transportation Research Institute (UMTRI), Ann Arbor, MI 48109, USA;1. School of Nuclear Science and Technology, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China;2. Department of Electrical and Computer Engineering, The University of Western Ontario, London, Ontario N6A 5B9, Canada;3. Beijing Computational Science Research Center, Beijing 100084, China;3. From the Departments of Therapeutic Area Neurodegenerative Diseases and Merck Serono S.A., Chemin des Mines 9, 1202 Geneva, Switzerland;4. Protein and Cell Sciences, Merck Serono S.A., Chemin des Mines 9, 1202 Geneva, Switzerland;5. the Department of Quantitative Bioanalytics, Merck Serono S.A., Frankfurter Str. 250, D64293 Darmstadt, Germany;6. the Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland;1. School of Nuclear Science and Technology, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China;2. Department of Electrical and Computer Engineering, University of Western Ontario, London, Ontario N6A 5B9, Canada;3. School of Mechanical Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China;1. Department of Ophthalmology, University of Alabama at Birmingham, Birmingham, AL 35294, USA;2. Department of Philosophy, Western University, London, Ontario N6A5B8, Canada;3. Department of Medical-Surgical Specialization, Otolaryngology and Cervicofacial Surgery Division, University of Perugia, 06127 Perugia, Italy;4. Department of Experimental Medicine Section of Physiology and Biochemistry, University of Perugia, 06127 Perugia, Italy |
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| Abstract: | How to manage signalized intersections under oversaturated conditions is a long-standing problem in traffic science and engineering. However, although research works in this area date back to 1960s, an on-line control strategy with theoretically bounded performance is missing, even for the control of an isolated intersection under oversaturation. This paper makes one step further in this area by proposing a QUEUE-based quasi-optimal feedback control (abbreviated as QUEUE) strategy for an isolated oversaturated intersection. The QUEUE strategy is intuitive, simple, and proved to match the off-line optimum in the case of constant demand. More importantly, the bounds of sub-optimality of the QUEUE strategy can be specified quantitatively in general piece-wise constant demand cases. To better deal with the maximum queue constraints, the oversaturation period is divided into the queuing period and the dissipation period with two different objectives. In the queuing period, the primary objective is to keep the queue length within the maximum value; but for the dissipation period, the primary objective is to eliminate all queues at the earliest time. Interestingly, we found that both control objectives can be realized with the same QUEUE strategy. Numerical examples show that the QUEUE strategy approximates the off-line optimum very well. The average sub-optimality in comparison with the off-line optimum in the challenging conditions with Poisson distributed random demand is below 5%. |
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| Keywords: | Oversaturation Isolated intersection Feedback control Quasi-optimal |
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