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- W4316804894 abstract "An optimization model for traffic light control in an urban network of intersections is derived. The model is based on store-and-forward analytic relations, which account for the length of the queue of waiting vehicles in front of the traffic light intersection. The model is complicated with probabilistic relations that formalize the requirements for maintaining short queues of vehicles. Probabilistic inequalities apply to each intersection of the city network. Approximations of probability inequalities are given in the article. Quadratic deterministic inequalities, which are part of the set of the traffic flow control optimization problem, are derived. Numerical simulations are performed, applying mean estimated data for real traffic in an urban area of Sofia. The model predictive approach is applied to traffic light optimization and control. Empirical results give advantages of the obtained model compared to the classical store-and-forward optimization model for the total number of vehicles waiting in the considered urban network." @default.
- W4316804894 created "2023-01-17" @default.
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- W4316804894 date "2023-01-17" @default.
- W4316804894 modified "2023-09-26" @default.
- W4316804894 title "Optimizing Traffic Light Green Duration under Stochastic Considerations" @default.
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- W4316804894 doi "https://doi.org/10.3390/math11030496" @default.
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