多模式交通网络中模式转换的交通中断模型
Traffic disruption modelling with mode shift in multi-modal networks
摘要：
多式联运系统被认为具有强大的容错能力，可以有效缓解城市拥堵问题。然而，由于一次只适用于个别模式的分解建模方法，估计跨多种运输模式的中断的影响是一个具有挑战性的问题。为了填补这一空白，本文提出了一个新的综合建模框架，多模式的交通状态估计和各种交通条件下的所有模式的中断影响的评估。首先，我们提出了一个迭代的行程分配模型，以阐明出行需求和出行行为之间的关联，包括多模式的私人和公共交通的起点到目的地的估计。其次，我们提供了一个实用的多模式的交通需求重新调整，考虑到受影响的旅客的模式转换。模式转换策略的优点和缺点，通过几个基于交通模拟实验展示。结果表明，一个良好的平衡的模式转换，灵活的路由和绕行的早期公告，使旅客可以提前计划，可以显着受益于所有旅客的延误时间减少46%，而一个稳定的路线分配保持较高的平均交通流量和非活动的模式，路线选择有助于缓解密度下的交通中断。
英文摘要：
A multi-modal transport system is acknowledged to have robust failure tolerance and can effectively relieve urban congestion issues. However, estimating the impact of disruptions across multi-transport modes is a challenging problem due to a dis-aggregated modelling approach applied to only individual modes at a time. To fill this gap, this paper proposes a new integrated modelling framework for a multi-modal traffic state estimation and evaluation of the disruption impact across all modes under various traffic conditions. First, we propose an iterative trip assignment model to elucidate the association between travel demand and travel behaviour, including a multi-modal origin-to-destination estimation for private and public transport. Secondly, we provide a practical multi-modal travel demand re-adjustment that takes the mode shift of the affected travellers into consideration. The pros and cons of the mode shift strategy are showcased via several scenario-based transport simulating experiments. The results show that a well-balanced mode shift with flexible routing and early announcements of detours so that travellers can plan ahead can significantly benefit all travellers by a delay time reduction of 46%, while a stable route assignment maintains a higher average traffic flow and the inactive mode-route choice help relief density under the traffic disruptions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
