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Forecast method of traffic demand based on disaggregate model
Author(s): WANG Fengqun, WANG Xiaoyuan, SU Yuejiang(instituteofintelligenttransportation, SCHOOL Oftrafficandvehicleengineering, SHANDONG Universityoftechnology, ZIBO 255049, china)
Pages: 7-
12,16
Year: 2009
Issue:
2
Journal: Journal of Shandong Institute of Technology
Keyword: 非集计模型; 方式划分; 交通需求预测; 交通规划;
Abstract: 交通需求预测是城市规划和城市交通规划的核心内容之一,同时也是制定交通需求管理(TDM)策略的基础.传统的预测模型多以"四阶段法"为基础,对调查数据进行集计处理,忽略数据所携带的有关出行者行为的个体信息,存在信息的浪费和冗余.依据现代交通规划学理论,在回顾传统预测方法的基础上,对非集计模型进行深入研究;根据淄博市中心城区居民出行调查数据,预测居民出行方式分担率.研究结果表明,较集计模型,非集计方法能更好地刻画居民出行方式选择行为.
Citations
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