چكيده به لاتين
There are areas in some parts of the urban network that, for some reasons, have higher priority, and so, it is necessary to prevent congestion and gridlock in these areas during peak hours. These reasons can include environmental pollution, the existence of major commercial or administrative uses, the limited capacity of the street network, or the necessary prioritization of public transportation services. Accordingly, the purpose of this article is to develop a new flow control model for these protected or priority areas which will control the signal setting of the entrance arterial to these areas. The proposed model has two main parts. The first part attempts to maximize the offset in the arterial input and accordingly obtain the optimum offset and estimates the optimal queue length in the upstream arterials. The optimal queue length is a criterion for the second part of the problem-solving. In the second part of the question, signal setting in the arterial input is optimized by considering three cases. These include keeping congestion below the critical level through the protected network, holding the queue near the optimum value, and preventing fluctuations of the excessive green time during the intermittent cycle.
To ensure that the developed model works better than the common lights optimization methods, it was compared with the optimization algorithm on Vissim software. To model timeliness in solving, the two Meta heuristic methods, simulated annealing algorithm and Imperialist competitive algorithm, were used, and the resulting solution was compared with that of the developed model. The model solution results show that using a rating strategy and flow controlling of the transport network can be effective in increasing system productivity. Moreover, the presented model showed its ability to maintain optimum conditions on the upstream arterials of the considered networks.
Keywords: optimal control, signal setting, metering, fundamental diagrams, Meta heuristic algorithms
