2016
DOI: 10.1016/j.trc.2015.12.016
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Quasi-optimal feedback control for an isolated intersection under oversaturation

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… Show more

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Cited by 26 publications
(13 citation statements)
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References 27 publications
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“…Lin et al [11] constructed a signal priority procedure model to minimize the vehicle delay and the weighted average number of vehicles stops. Sun et al [12] studied the oversaturation state of intersections, and constructed an optimization model that minimizes the waiting time of the first vehicle in the waiting queue. Liu and Xu [13] set up a simple calculation model of the main line phase difference of intersections, which requires the following inputs: the green signal ratio, the driving time per vehicle, the distance between intersections, and the length of the public cycle.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Lin et al [11] constructed a signal priority procedure model to minimize the vehicle delay and the weighted average number of vehicles stops. Sun et al [12] studied the oversaturation state of intersections, and constructed an optimization model that minimizes the waiting time of the first vehicle in the waiting queue. Liu and Xu [13] set up a simple calculation model of the main line phase difference of intersections, which requires the following inputs: the green signal ratio, the driving time per vehicle, the distance between intersections, and the length of the public cycle.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Mathematical Problems in Engineering 7 where represents the optimal target which reflects the total travel time in this paper. The fitness function can be calculated based on the above formula (17). If ≥ 0, the result is equal to the inverse of 1+ 2 .…”
Section: Model-based Signal Controlmentioning
confidence: 99%
“…However, these strategies obtain optimal timing according to historical data rather than real-time data, which is difficult to adapt to the real-time traffic conditions [16]. Therefore, extensive research on online control strategies has been proposed [17].…”
Section: Introductionmentioning
confidence: 99%
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“…Discussions on the road networks that consist of many oversaturated intersections can be found in researches done by Chang and Sun [4], Di Febbraro and Sacco [5], Dotoli and Fanti [6], Ma [7,8], and Sun et al [9,10]. In the research done by Varaiya [11] and Le et al [12], the study of pressure-based signal control developed stability properties of a decentralized signal timing policy for networks with stochastic arrivals.…”
Section: Introductionmentioning
confidence: 99%