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首页> 外文期刊>Transportation research, Part B. Methodological >Incorporating activity duration and scheduling utility into equilibrium-based Dynamic Traffic Assignment
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Incorporating activity duration and scheduling utility into equilibrium-based Dynamic Traffic Assignment

机译：将活动持续时间和调度效用整合到基于均衡的动态流量分配中

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This paper deals with the problem of jointly modelling activity scheduling and duration within a Dynamic Traffic Assignment (DTA) problem framework. Although the last decades witnessed an intense effort in developing utility-based departure time choice models, relatively little has been done for understanding how the different assumptions on the utility model affect the model outputs. This problem is the main focus of this paper, which evaluates the effect of explicitly incorporating activity scheduling and duration within a generic user equilibrium DTA formulation. While using utility functions to model the positive component of the utility is a quite common procedure, the object of this paper is to show that a generic utility-based framework behaves as trip-based, activity-based, tour-based, or schedule-based if specific assumptions are specified. By establishing a set of properties, we quantify the amount of utility lost due to traffic congestion and how this affects activity (re-)scheduling and duration decisions. This allows predicting the effect of using a different assumption on the evolution of the transport system - and more specifically the departure time choice model. Conclusions support the idea that, under specific conditions, complex user behaviour can be approximated through a simplified model, and that the ratio between utility at origin and destination can be used to identify systematic biases within an existing DTA model - such as anticipating the rush hour. We also propose a novel utility function suited for modelling different activities, which can be used for modelling activities with a different duration. The mathematical model used to evaluate the effect of scheduling and duration into the equilibrium-based Dynamic Traffic Assignment is a simple bottleneck model. While this model has been recently re-formulated in order to capture the interaction between morning/evening commute, this paper further generalizes it in order to account for all type of activities. (C) 2018 Elsevier Ltd. All rights reserved.
机译：本文讨论了在动态流量分配 （DTA） 问题框架内联合建模活动调度和持续时间的问题。尽管在过去的几十年里，人们在开发基于效用的出发时间选择模型方面付出了巨大的努力，但在理解实用新型的不同假设如何影响模型输出方面所做的工作相对较少。这个问题是本文的主要关注点，它评估了将活动调度和持续时间明确纳入通用用户均衡 DTA 公式的效果。虽然使用效用函数对效用的正分量进行建模是一个非常常见的过程，但本文的目的是表明，如果指定了特定假设，则基于效用的通用框架的行为是基于旅行的、基于活动的、基于旅行的或基于日程安排的。通过建立一组属性，我们量化了由于交通拥堵而损失的效用量，以及这如何影响活动（重新）调度和持续时间决策。这允许预测使用不同假设对运输系统演变的影响 - 更具体地说，是出发时间选择模型。结论支持这样一种观点，即在特定条件下，可以通过简化模型近似复杂的用户行为，并且起点和目的地效用之间的比率可用于识别现有DTA模型中的系统偏差 - 例如预测高峰时间。我们还提出了一种适合对不同活动进行建模的新效用函数，可用于对不同持续时间的活动进行建模。用于评估调度和持续时间对基于均衡的动态交通分配的影响的数学模型是一个简单的瓶颈模型。虽然该模型最近被重新制定以捕捉早晨/晚上通勤之间的相互作用，但本文进一步推广了它，以解释所有类型的活动。（C） 2018 爱思唯尔有限公司保留所有权利。

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