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Location-Based Route Choice Model under Random Regret Minimization

机译:随机后悔最小化的基于位置的选路模型

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The random regret minimization (RRM) model has arisen as the counterpart of the random utility minimization (RUM) model in the transportation analysis in recent years. In the conventional RRM model, the inability to account for the route perception variance is shown with a two-route small network. Considering the route length of different alternatives, a location-based model is proposed in this paper. In the newly proposed model, two ratios, including the ratio between considered regret and alternative route travel time and the ratio between considered route travel time and alternative route travel time play an important role in the modification. With the proposed model, the choice probability for the two-route testing network is calculated again and the anticipated choice probability is shown. With a medium sized traffic network, the choice probability for different routes restricted to a specific Origin Destination (OD) pair is also calculated to demonstrate the effectiveness of the newly proposed model.
机译:近年来,随机后悔最小化(RRM)模型已成为交通分析中随机效用最小化(RUM)模型的对应模型。在传统的RRM模型中,无法通过两路径小型网络来说明路径感知方差。考虑到不同方案的路径长度,提出了一种基于位置的模型。在新提出的模型中,考虑后悔与替代路径旅行时间之间的比率以及考虑路径与旅行时间之间的比率以及替代路径旅行时间之间的比率这两个比率在修改中起着重要作用。利用提出的模型,再次计算了两路测试网络的选择概率,并显示了预期的选择概率。对于中等规模的交通网络,还计算了限制在特定始发地(OD)对上的不同路线的选择概率,以证明新提出的模型的有效性。

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