Abstract This paper proposes a frequency based transit assignment model that accounts for online information and strict capacity constraints. A heuristic is proposed to solve the problem, which first applies an unconstrained transit assignment procedure and then handles only the over-loaded transit line segments, re-assigning the surplus passengers. The developed procedure is efficient, requiring very short running times compared to existing capacity constrained transit assignment models. The model assumes passengers receive online information of both predicted arrival time and occupancy condition. Two cases of occupancy information are considered: (1) passengers are informed of the vehicle occupancy, and may change their route selection accordingly, (2) passengers have no occupancy information and in case their boarding is denied, they are enforced to choose a later departing alternative. The model is applied for the Winnipeg network, and as expected the inclusion of capacity constraints increases the average travel time compared to the unconstrained model. However, prior knowledge of the occupancy condition was found to reduce the additional travel time. This result emphasizes the potential benefits of providing occupancy information to passengers.

中文翻译：

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一种基于频率的公交分配模型，该模型考虑了在线信息和严格的容量限制

摘要本文提出了一种基于频率的公交分配模型，该模型考虑了在线信息和严格的容量限制。提出了一种启发式方法来解决该问题，该方法首先应用无约束的公交分配程序，然后仅处理超载的公交线路段，然后重新分配多余的乘客。与现有的容量受限的运输分配模型相比，开发的过程效率高，需要非常短的运行时间。该模型假设乘客收到有关预计到达时间和入住情况的在线信息。考虑了两种情况的占用信息：（1）告知乘客有关车辆的占用情况，并且可以相应地更改其路线选择；（2）乘客没有占用信息，并且在他们的登机被拒绝的情况下，他们被迫选择稍后退出的替代方案。该模型适用于Winnipeg网络，并且与未约束的模型相比，如预期的那样，包含容量约束会增加平均行驶时间。但是，已经发现了占用情况的先验知识可以减少额外的出行时间。该结果强调了向乘客提供占用信息的潜在好处。