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Incorporating Ridesharing in the Static Traffic Assignment Model

机译:将乘车共享纳入静态交通分配模型

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摘要

This paper develops a combined mode choice and traffic assignment model that incorporates ridesharing as an option in a mode choice model, attempting to quantify the ridesharing market share in an equilibrium context. The mode choice model takes into account that the waiting time for a ride is dependent on the available drivers. The traffic assignment model is a static user equilibrium that interacts with the discrete choice model through level of service variables. An iterative algorithm was implemented and applied in a simple network and a more realistic network. The results indicate that the quantity of ride sharing drivers is a key parameter to the service success, and below a critical mass of drivers, it is unlikely that passengers will find the service valuable. It is also shown that ride sharing has the ability to reduce in-vehicle times for all the users, although passenger may suffer from longer door-to-door times, having to wait for their ride.
机译:本文开发了一种模式选择和交通分配相结合的模型,该模型在模式选择模型中将乘车共享作为一种选择,试图在均衡的情况下量化乘车共享的市场份额。模式选择模型考虑了乘车的等待时间取决于可用的驾驶员。流量分配模型是静态的用户平衡,它通过服务变量的级别与离散选择模型进行交互。实现了一种迭代算法,并将其应用于简单网络和更现实的网络中。结果表明,乘车共享驾驶员的数量是服务成功与否的关键参数,并且在临界驾驶员数量以下,乘客不太可能会发现该服务有价值。还显示出乘坐共享具有减少所有用户的车内时间的能力,尽管乘客可能不得不等待更长的上门时间。

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