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首页> 外文期刊>Journal of advanced transportation >Guidance Optimization of Travelers’ Travel Mode Choice Based on Fuel Tax Rate and Bus Departure Quantity in Two-Mode Transportation System
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Guidance Optimization of Travelers’ Travel Mode Choice Based on Fuel Tax Rate and Bus Departure Quantity in Two-Mode Transportation System

机译：基于燃油税率和双模运输系统总线出发量的旅行者旅游模式选择的指导优化

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摘要

This aim of this study is to improve the guidance role of the fuel tax rate and bus departure quantity on travel mode choice. Car and bus travel are chosen as the research object, and a day-to-day evolution model of dual-mode network traffic flow (based on a stochastic user equilibrium model and the method of network tatonnement process) is established. Subsequently, a guidance optimization model of fuel tax rate and bus departure quantity is designed. This guidance optimization model is formulated to determine the comprehensive minimum value among system total travel time of car travel, system total comprehensive cost of bus travel, and the difference between the total operating cost of bus departure increment and the total amount of fuel tax levied on car travelers. Through numerical examples, the validity of this guidance optimization model is verified, and the influence of fuel tax rate and bus departure quantity on the traffic network is analyzed. The results show that a guidance optimization scheme based on fuel tax rate and bus departure quantity can help regulate the proportion of car travel and improve bus service quality.
机译：本研究的这种目的是改善燃油税率和公共汽车出发数量对旅行模式选择的指导作用。建立了汽车和公共汽车旅行作为研究对象，建立了双模网络流量的日常演化模型（基于随机用户均衡模型和网络批发过程的方法）。随后，设计了燃油税率和总线出发量的指导优化模型。制定了该指导优化模型，以确定汽车旅行的系统总旅行时间的综合最低价值，系统总线旅行的总综合成本，以及总线出发增量的总运营成本与征收燃料税总额的差异汽车旅行者。通过数值示例，验证了该指导优化模型的有效性，分析了燃油税率和总线出发数量对交通网络的影响。结果表明，基于燃油税率和公交车出发量的指导优化方案可以帮助规范汽车旅行的比例，提高总线服务质量。

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