Route choice modelling in urban transportation networks using fuzzy logic and logistic regression methods

Yetis Sazi Murat; Nurcan Uludag

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Route choice modelling in urban transportation networks using fuzzy logic and logistic regression methods

机译：基于模糊逻辑和逻辑回归的城市交通网络路径选择建模

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This study presents route choice model of transportation network in Denizli using fuzzy logic model (FLM), logistic regression model (LRM) and survey-based data. Four important parameters (traffic safety, travel time, congestion and environmental effects) were used in the models. Fuzzy logic concepts are especially used to take note of imprecision, vagueness and uncertainty characteristics of route choice behaviour. FLM is compared with LRMs and encouraging results are obtained with FLM.

机译：本文利用模糊逻辑模型（FLM），逻辑回归模型（LRM）和基于调查的数据，提出了代尼兹利交通网络的路径选择模型。在模型中使用了四个重要参数（交通安全，旅行时间，交通拥堵和环境影响）。模糊逻辑概念尤其用于记录路线选择行为的不精确性，模糊性和不确定性特征。将FLM与LRM进行比较，使用FLM可获得令人鼓舞的结果。

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《Journal of Scientific & Industrial Research》 |2008年第1期|p.19-27|共9页
作者
Yetis Sazi Murat; Nurcan Uludag;
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收录信息美国《科学引文索引》(SCI);
原文格式 PDF
正文语种 eng
中图分类自然科学总论;
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Route choice modelling in urban transportation networks using fuzzy logic and logistic regression methods

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