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Making Big Data Real in Upcoming Future: The Dynamic Toll Prices in the Portuguese Highways

机译:在即将到来的未来制作大数据:葡萄牙高速公路的动态收费价格

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In the present context, it is frequent for urban and national road networks to be highly congested, resulting in increased travel times and delays. At the same time, due to toll charging, some high-quality highway networks, particularly in Portugal, are underused. Dynamic charging on highway networks can contribute towards the optimization of the network performance and understanding the behavior of logistic operators as one of the main users of the network is of great importance for the development of any dynamic charging toll model. Within this context, one of the pilot cases of the H2020 project OPTIMUM includes the development of such a forecasting and dynamic (toll) charging model with the key objective of transferring heavy traffic from the urban and national roads to highways. The first run of pilot occurred between March 09~(th), 2017 and April 07~(th), 2017, performance indicators (KPI) were highly positive in terms of freight traffic shift from the national roads to the highways and, consequently, an increase in toll revenues and freight operations efficiency was registered.
机译:在目前的背景下,城市和国家道路网络经常高度拥挤,导致旅行时间增加和延误增加。与此同时,由于收费收费,一些高质量的公路网络,特别是葡萄牙。公路网络上的动态充电可以促进网络性能的优化,并了解Logistic运营商的行为,因为网络的主要用户之一对于开发任何动态充电收费模型的发展是重要的。在此背景下,H2020项目的试点案例之一优化包括开发这种预测和动态(收费)充电模型,其具有将城市和国家道路转移到高速公路的重大交通的关键目标。第一次飞行员发生在2017年3月09日〜(Th),2017年4月07日〜(Th),2017年,绩效指标(KPI)在航空公司到高速公路的货运方面非常积极,因此注册了收费收入和货运效率的增加。

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