Abstract:We propose in this paper a decentralized traffic signal control policy for urban road networks. Our policy is an adaptation of a so-called BackPressure scheme which has been widely recognized in data network as an optimal throughput control policy. We have formally proved that our proposed BackPressure scheme, with fixed cycle time and cyclic phases, stabilizes the network for any feasible traffic demands. Simulation has been conducted to compare our BackPressure policy against other existing distributed contr… Show more
“…There has recently been a sharp increase in interest in local distributed traffic signal control policies which are queue stabilising; see for example Varaiya (2013) and Le et al (2013). In almost all of this work so far re-routeing by travellers is not substantially considered; and the relationship between these policies and P 0 are of interest.…”
Section: Brief Remarks On Possible Connections To Three Other Controlmentioning
confidence: 99%
“…All three policies work in a very broadly similar way (seeking to equalise certain stage pressures). The Varaiya (2013) and the Le et al (2013) pressures are written in terms of queues whereas P 0 pressure is given in terms of bottleneck delays. To compare these pressures it is natural to use a formula connecting the queue volume Q i , the bottleneck delay b i and the green-time g i on a link.…”
Section: Brief Remarks On Possible Connections To Three Other Controlmentioning
confidence: 99%
“…One such function is: b i ¼ Q i =g i s i . The main difference between the three policies is that Varaiya (2013) and Le et al (2013) have backpressure while P 0 does not. This is then one area of possible future study: perhaps adding the natural backpressure to P 0 will yield a policy which is not only capacity maximising but also queue stabilising.…”
Section: Brief Remarks On Possible Connections To Three Other Controlmentioning
confidence: 99%
“…Finally it is natural to consider studying connections between the distributed control policies designed by Varaiya (2013) and Le et al (2013), and P 0 . In particular it would be interesting to consider the effects of adding the obvious back pressure to the existing policy P 0 , perhaps following Le et al (2013).…”
Section: Conclusion and Opportunities For Further Workmentioning
“…There has recently been a sharp increase in interest in local distributed traffic signal control policies which are queue stabilising; see for example Varaiya (2013) and Le et al (2013). In almost all of this work so far re-routeing by travellers is not substantially considered; and the relationship between these policies and P 0 are of interest.…”
Section: Brief Remarks On Possible Connections To Three Other Controlmentioning
confidence: 99%
“…All three policies work in a very broadly similar way (seeking to equalise certain stage pressures). The Varaiya (2013) and the Le et al (2013) pressures are written in terms of queues whereas P 0 pressure is given in terms of bottleneck delays. To compare these pressures it is natural to use a formula connecting the queue volume Q i , the bottleneck delay b i and the green-time g i on a link.…”
Section: Brief Remarks On Possible Connections To Three Other Controlmentioning
confidence: 99%
“…One such function is: b i ¼ Q i =g i s i . The main difference between the three policies is that Varaiya (2013) and Le et al (2013) have backpressure while P 0 does not. This is then one area of possible future study: perhaps adding the natural backpressure to P 0 will yield a policy which is not only capacity maximising but also queue stabilising.…”
Section: Brief Remarks On Possible Connections To Three Other Controlmentioning
confidence: 99%
“…Finally it is natural to consider studying connections between the distributed control policies designed by Varaiya (2013) and Le et al (2013), and P 0 . In particular it would be interesting to consider the effects of adding the obvious back pressure to the existing policy P 0 , perhaps following Le et al (2013).…”
Section: Conclusion and Opportunities For Further Workmentioning
“…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.…”
A classical control problem for an isolated oversaturated intersection is revisited with a focus on the optimal control policy to minimize total delay. The difference and connection between existing continuous-time planning models and recently proposed discrete-time planning models are studied. A gradient descent algorithm is proposed to convert the optimal control plan of the continuous-time model to the plan of the discrete-time model in many cases. Analytic proof and numerical tests for the algorithm are also presented. The findings shed light on the links between two kinds of models.
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