有偏好的多属性灰色关联路径选择模型

路径选择模型是动态交通诱导的核心问题.针对出行者不同偏好及路径属性不 完全确定条件下，提出了一种路径属性为区间值的有偏好路径选择模型.建立了以交通拥 挤程度、行程时间、行程距离和行程时间可靠性为属性的路径选择指标体系，给定路径属 性的区间值及出行者偏好值，计算每条路径客观信息与主观偏好的灰色关联系数.为了减 少主观偏好与客观信息的偏差，构建了单目标最优化模型，得到路径属性的权重值，进而 求得各路径主观偏好与客观信息的关联度，并根据关联度大小进行排序.最后以福州三坊 七巷交通网络为例，给出路径选择实例.结果表明该方法简单有效.

Grey Relational Analysis for Multi-attributes Decision Making of Route Choice with Subjective Preference

Route choice model is core problem of dynamic traffic guidance. With respect to the traveler’s different preference and incompletely specified route- attribute, a new model with Subjective Preference is proposed which take interval values as the characteristics of route multi-attributes. With the degree of traffic congestion, travel time, route distance and the reliability of travel time, an indicator system of route choice is presented. Then, giving the interval values of objective and subjective, the relational coefficients between subjective preference and objective values of every alternative route are obtained. In order to reduce the error between the subjective and the objective values, an optimal model is provided to get the attribute weights. Furthermore, all alternative routes are ranked according to the relational degree. In the end, a numerical example is given with the real network of 3 lanes and 7 alleys in Fuzhou, and the results show that the proposed method is simple and effective.