信阳师范学院学报（自然科学版）Issue(4)：597-600,4.DOI:10.3969/j.issn.1003-0972.2014.04.032
面向历史轨迹的多因素驾驶偏好挖掘算法
On Mining Multivariate Driving Preference from Historical Trajectories
摘要
Abstract
A novel window based data mining algorithm was proposed and used to mine the defined multivariate driving preference. Specifically, a model describing paired cost aspects to reflect driving preference was defined, a da-ta mining algorithm to estimate the multivariate driving preference distribution was proposed, and ellipse to optimize the data mining algorithm was introduced. The results showed that the method in this paper could discover the defined mul-tivariate driving preference and the proposed algorithm was effective, fast and had good scalability.关键词
历史轨迹/驾驶偏好挖掘/多因素Key words
historical trajectory/driving preference mining/multiple factor分类
信息技术与安全科学引用本文复制引用
黄照鹤,刘丽,刘中艳..面向历史轨迹的多因素驾驶偏好挖掘算法[J].信阳师范学院学报（自然科学版）,2014,(4):597-600,4.基金项目
河南省基础与前沿技术研究计划项目 （）
