TY - JOUR
T1 - Queuing models for analysis of traffic adaptive signal control
AU - Mirchandani, Pitu B.
AU - Ning, Zou
N1 - Funding Information:
Manuscript received March 5, 2006; revised July 3, 2006, September 9, 2006, and September 14, 2006. This work was supported in part by Grant CMS-0231458 from the National Science Foundation and by the Intelligent Transportation System (ITS) Partnership Agreement with Federal Highway Administration (FHWA) and the Arizona Department of Transportation for the Advanced Traffic and Logistics: Algorithms and Systems (ATLAS) Research Center at the University of Arizona. The Associate Editor for this paper was B. de Schutter.
PY - 2007/3
Y1 - 2007/3
N2 - Microsimulation models are normally used to evaluate traffic-adaptive signal control systems. This paper develops an analytical approach for this evaluation based on queuing models. In particular, a queuing model is developed for a simplified adaptive control strategy that is based on rolling horizon scheme, in which a signal serves two movements alternatively. In this strategy, the first movement is served until the queue dissipates, then the second movement is served until the queue dissipates, then the signal goes back to serving the first movement, and this cyclic process repeats. A numerical algorithm is developed in a stochastic context to compute steady-state performance measures such as average delays and expected queue lengths. These results are compared with simulation-based results, and indeed, the analytically derived numerical method predicts well the simulation results.
AB - Microsimulation models are normally used to evaluate traffic-adaptive signal control systems. This paper develops an analytical approach for this evaluation based on queuing models. In particular, a queuing model is developed for a simplified adaptive control strategy that is based on rolling horizon scheme, in which a signal serves two movements alternatively. In this strategy, the first movement is served until the queue dissipates, then the second movement is served until the queue dissipates, then the signal goes back to serving the first movement, and this cyclic process repeats. A numerical algorithm is developed in a stochastic context to compute steady-state performance measures such as average delays and expected queue lengths. These results are compared with simulation-based results, and indeed, the analytically derived numerical method predicts well the simulation results.
KW - Adaptive control
KW - Busy period
KW - Delay
KW - Queuing modeling
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U2 - 10.1109/TITS.2006.888619
DO - 10.1109/TITS.2006.888619
M3 - Article
AN - SCOPUS:33847703803
SN - 1524-9050
VL - 8
SP - 50
EP - 59
JO - IEEE Transactions on Intelligent Transportation Systems
JF - IEEE Transactions on Intelligent Transportation Systems
IS - 1
ER -