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Route Choice Modeling for High-Density Network Using Probe Data

机译:使用探测数据的高密度网络路由选择建模

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摘要

In this paper, probe data collected from Nagoya station to Toshincho in Nagoya, Japan is used to model route choice behaviors ; the other two ODs are chosen to evaluate the model. The factors such as travel time, turns, and signal numbers are considered to develop the PSL model. The practical and predictive share of different OD pairs are compared and the result shows that the model has a good prediction. Only 20% overlapping occurs in the share when the model is migrated. The lack of personal characteristics information is probably responsible for this undesirable result.
机译:本文使用从名古屋站到日本名古屋东新町收集的探测数据对路径选择行为进行建模。选择其他两个OD来评估模型。诸如行进时间,转弯和信号号之类的因素都被考虑用于开发PSL模型。比较了不同OD对的实际和预测份额,结果表明该模型具有良好的预测能力。迁移模型时,份额中仅发生20%的重叠。缺乏个人特征信息可能是造成这种不良后果的原因。

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