Abstract
The aim of this work is to propose and test a methodology to support the design of urban road transport systems, highlighting the sustainability of the proposed measures. Finally, a tool for public administration support is provided. The problem is formulated as a road network design problem (NDP) with fixed demand, with design variables representing street direction and lane addition on links of the road network; the proposed methodology is based on two main phases: (1) a first phase aiming at reducing the solution’s search space; (2) a second phase concerning the optimization procedure. The latter consists in a heuristic method based on a genetic algorithm. The procedure has been initially tested on a sub-network of the city of Rome (Eur network), and subsequently applied to the city of Brindisi (Southern Italy).
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Cipriani, E., Gemma, A., Nigro, M. (2014). A Road Network Design Model for Large-Scale Urban Network. In: de Sousa, J., Rossi, R. (eds) Computer-based Modelling and Optimization in Transportation. Advances in Intelligent Systems and Computing, vol 262. Springer, Cham. https://doi.org/10.1007/978-3-319-04630-3_11
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DOI: https://doi.org/10.1007/978-3-319-04630-3_11
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