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Models and algorithms for the optimization of signal settings on urban networks with stochastic assignment models. (English) Zbl 1159.90308
Summary: Models and algorithms for the optimization of signal settings on urban networks are proposed. Two different approaches to the solution of the problem may be identified: a global approach (optimization of intersection signal settings on the whole network) and a local approach (optimization of signal settings intersection by intersection). For each approach a different optimization model and some solution algorithms are proposed; both models and algorithms are based on the assumptions of within-day static system and stochastic user equilibrium assignment models. The paper includes numerical results on test networks and a comparison between the two approaches.
MSC:
90B06Transportation, logistics
90B10Network models, deterministic (optimization)
90B80Discrete location and assignment
91B70Stochastic models in economics
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