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Novel Big Data-supported dynamic toll charging system: Impact assessment on Portugal's shadow-toll highways

机译:新型大数据支持的动态收费调控系统:对葡萄牙的影子通路高速公路影响评估

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摘要

Traffic congestion is a huge problem in many countries. It affects not only the inner workings of cities but also the quality of life of the people that endure it. In Portugal, traffic congestion happens mainly on national/urban roads, and this phenomenon has increased since the introduction of the so called shadow-toll systems in highways that were free to use. This work proposes a toll charging system that relies on a novel dynamic congestion charging scheme, supported by state of the art Big Data technologies, in order to shift traffic from national/urban roads to tolled highways, taking into account not only the Quality of Service of the highways and national roads, but also the competitiveness of toll prices for users. This Intelligent Transportation System was tested and validated in a real-world scenario with one of the biggest freight logistics companies in Portugal and with the Portuguese public road infrastructure operator.
机译:交通拥堵是许多国家的一个巨大问题。它不仅影响城市的内在工作,而且影响了忍受它的人的生活质量。在葡萄牙,交通拥堵主要在国家/城市道路上发生,因为这种现象已经增加,因为在高速公路中引入所谓的阴影收费系统,可以自由使用。这项工作提出了一种依赖于新颖的动态拥塞充电方案的收费系统,该方面的大数据技术支持,以便将来自国家/城市道路的交通从国家/城市道路转移到通路,考虑到服务质量高速公路和国家道路,也是用户收费价格的竞争力。这种智能交通系统在真实世界的情景中进行了测试和验证,其中包含葡萄牙最大的货物物流公司之一和葡萄牙公共道路基础设施运营商。

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