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A network equilibrium approach for modelling activity-travel pattern scheduling problems in multi-modal transit networks with uncertainty

机译：具有不确定性的多式联运网络中活动-旅行模式调度问题建模的网络平衡方法

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摘要

An understanding of the interaction between individuals' activities and travel choice behaviour plays an important role in long-term transit service planning. In this paper, an activity-based network equilibrium model for scheduling daily activity-travel patterns (DATPs) in multi-modal transit networks under uncertainty is presented. In the proposed model, the DATP choice problem is transformed into a static traffic assignment problem by constructing a new super-network platform. With the use of the new super-network platform, individuals' activity and travel choices such as time and space coordination, activity location, activity sequence and duration, and route/mode choices, can be simultaneously considered. In order to capture the stochastic characteristics of different activities, activity utilities are assumed in this study to be time-dependent and stochastic in relation to the activity types. A concept of DATP budget utility is proposed for modelling the uncertainty of activity utility. An efficient solution algorithm without prior enumeration of DATPs is developed for solving the DATP scheduling problem in multi-modal transit networks. Numerical examples are used to illustrate the application of the proposed model and the solution algorithm.
机译：对个人活动与出行选择行为之间相互作用的理解在长期公交服务规划中起着重要作用。本文提出了一种基于活动的网络平衡模型，用于在不确定性下安排多式联运网络中的日常活动-旅行模式（DATP）。在该模型中，通过构建一个新的超级网络平台，将DATP选择问题转化为静态交通分配问题。通过使用新的超级网络平台，可以同时考虑个人的活动和旅行选择，例如时间和空间协调，活动位置，活动顺序和持续时间以及路线/方式选择。为了捕获不同活动的随机特征，本研究假设活动效用与时间有关，并且与活动类型有关。提出了DATP预算效用的概念来对活动效用的不确定性进行建模。为解决多式联运网络中的DATP调度问题，开发了一种无需预先枚举DATP的有效解决方案算法。数值例子说明了所提模型和求解算法的应用。

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