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Dynamic User Equilibrium Model for Combined Activity-Travel Choices Using Activity-Travel Supernetwork Representation

机译:使用活动-旅行超网络表示的活动-旅行组合选择的动态用户平衡模型

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Integrated urban transportation models have several benefits over sequential models including consistent solutions, quicker convergence, and more realistic representation of behavior. Static models have been integrated using the concept of Supernetworks. However integrated dynamic transport models are less common. In this paper, activity location, time of participation, duration, and route choice decisions are jointly modeled in a single unified dynamic framework referred to as Activity-Travel Networks (ATNs). ATNs is a type of Supernetwork where virtual links representing activity choices are added to augment the travel network to represent additional choice dimensions. Each route in the augmented network represents a set of travel and activity arcs. Therefore, choosing a route is analogous to choosing an activity location, duration, time of participation, and travel route. A cell-based transmission model (CTM) is embedded to capture the traffic flow dynamics. The dynamic user equilibrium (DUE) behavior requires that all used routes (activity-travel sequences) provide equal and greater utility compared to unused routes. An equivalent variational inequality problem is obtained. A solution method based on route-swapping algorithm is tested on a hypothetical network under different demand levels and parameter assumptions.
机译:与顺序模型相比,集成的城市交通模型具有多个优点,包括一致的解决方案,更快的收敛性和更实际的行为表示。静态模型已经使用超级网络的概念进行了集成。但是,集成的动态运输模型并不常见。在本文中,活动位置,参与时间,持续时间和路线选择决策是在称为活动旅行网络(ATN)的单个统一动态框架中共同建模的。 ATN是一种超级网络,其中添加了代表活动选择的虚拟链接,以增强旅行网络来代表其他选择的维度。增强网络中的每条路线代表一组旅行和活动弧。因此,选择路线类似于选择活动位置,持续时间,参与时间和旅行路线。嵌入了基于信元的传输模型(CTM),以捕获业务流动态。动态用户平衡(DUE)行为要求与未使用的路线相比,所有使用的路线(活动旅行序列)必须提供相同且更大的效用。得到了一个等效的变分不等式问题。在不同需求水平和参数假设的假设网络上,测试了基于路由交换算法的求解方法。

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