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Simulation-based Optimization of HOT Lane Tolls

机译：基于仿真的HOT车道通行费优化

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This paper presents a real-time simulation-based control framework to determine dynamic toll rates in order to optimize an operator's objective, subject to various operational and contractual constraints, such as smooth toll rate changes and maintaining prescribed levels of service on the toll lane. The toll-setting system incorporates models to predict the vehicle arrival process upstream of the toll lane facility and drivers’ choice whether or not to use the toll lanes as a function of the toll rate and travel times presented to drivers within the information system. A macroscopic traffic simulation model is used to predict the flow conditions within the prediction horizon. The travel times provided to users as information and the ones predicted by the traffic flow model are iterated until consistency between them is obtained. The whole process is embedded within an optimization algorithm that sets tolls that optimize a given objective function. Several case studies demonstrate the use of this framework and its potential to provide useful toll settings.
机译：本文提出了一种基于实时仿真的控制框架，以确定动态的通行费率，以便在各种运营和合同约束（例如通行费率变化和保持通行费道上规定的服务水平）的前提下优化操作员的目标。收费系统结合了模型，以预测收费公路设施上游的车辆到达过程，并根据驾驶员在信息系统中向驾驶员提供的收费率和行驶时间来选择是否使用收费公路。宏观交通模拟模型用于预测预测范围内的流动状况。迭代提供给用户的信息的旅行时间和交通流模型预测的旅行时间，直到获得他们之间的一致性为止。整个过程都嵌入优化算法中，该算法设置了优化给定目标函数的通行费。一些案例研究证明了该框架的使用及其提供有用的通行费设置的潜力。

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