文章基本信息

标题：Travel Time Forecasting and Dynamic Routes Design for Emergency Vehicles
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作者：Giuseppe Musolino ; Giuseppe Musolino ; Antonio Polimeni 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2013
卷号：87
页码：193-202
DOI：10.1016/j.sbspro.2013.10.603
语种：English
出版社：Elsevier
摘要：AbstractA framework to dynamically design routes of emergency vehicles taking into account within-day variations of link travel times on a road network is presented. The framework integrates two modelling components: (i) a within-day dynamic assignment model that simulates the interaction between the time-varying network and travel demand, and (ii) a dynamic vehicle routing model that design optimal routes of emergency vehicles. The linking variable of the two modelling components is the short-term forecasted travel time, which allows to design routes of emergency vehicles based on anticipatory knowledge of traffic dynamics on the road network. Some procedures of the proposed framework are calibrated and validated in an experimental evacuation test site.
关键词：network optimization problem;vehicle routing;discrete/continuous variables;genetic algorithm;short-term travel time forecasting