Models and algorithms for the optimization of signal settings on urban networks with stochastic assignment models |
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Authors: | Ennio Cascetta Mariano Gallo Bruno Montella |
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Institution: | (1) Dipartimento di Ingegneria dei Trasporti “Luigi Tocchetti”, Università degli Studi di Napoli “Federico II”, via Claudio 21, 80125 Napoli, Italy;(2) Dipartimento di Ingegneria, Università degli Studi del Sannio, piazza Roma 21, 82100 Benevento, Italy |
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Abstract: | In this paper 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. |
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Keywords: | Transportation systems Network design Traffic lights Stochastic assignment |
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