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Infrastructure Development for Alternative-Fuel Vehicles on a Traffic Network

机译:交通网络上替代燃料汽车的基础设施开发

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Reduction of greenhouse gas (GHG) emissions from ground transportation is increasingly becoming one of the most important issues for automobile manufacturers to achieve environmental sustainability in the transportation sector. As a result, recent research has paid considerable attention to the use of alternative-fuel vehicles (AFVs) that may help reduce GHG emissions. However, due to the lack of an initial infrastructure, which would include alternative-fuel refueling stations, the use of AFVs is still in their early stages. In order to commercialize AFVs in a given region, it is necessary to set up an initial set of refueling stations on the region's road network. In this paper, we develop a mathematical model to determine optimal locations for a pre-determined number of refueling stations whose objective is to maximize the traffic flows covered on a tree network, which is a common structure of toll roads in many states. After collecting the necessary origin/destination traffic flow data, the model is applied to the Pennsylvania Turnpike network.
机译:减少地面运输所产生的温室气体排放已日益成为汽车制造商在运输领域实现环境可持续性的最重要问题之一。结果,最近的研究已经非常关注使用替代燃料汽车(AFV),这可能有助于减少温室气体排放。但是,由于缺乏最初的基础设施(其中包括替代燃料加油站),AFV的使用仍处于早期阶段。为了使给定区域内的AFV商业化,有必要在该区域的道路网络上建立一组初始加油站。在本文中,我们开发了一个数学模型来确定预定数量的加油站的最佳位置,其目的是使树状网络(这是许多州的收费公路的常见结构)所覆盖的交通流量最大化。收集必要的起点/终点交通流数据后,该模型将应用于宾夕法尼亚州收费公路网络。

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