计算机科学与探索Issue(8)：985-994,10.DOI:10.3778/j.issn.1673-9418.1409066
出租车乘车概率预测的置信规则库推理方法
Belief Rule-Base Inference Methodology for Predicting Probability of Taking Taxi
摘要
Abstract
Large scale of data, various types of low-level attributes and uncertainty of prediction information exist in probability prediction of taking taxi. To solve these problems, this paper offline deals with the GPS data of taxi and road network data by using mining algorithms in the large-scale trajectory data domain, then builds a belief rule-base by transforming various types of information with uncertainty into rules which are in form of the belief structure, after that uses RIMER (belief rule-base inference methodology using evidential reasoning) to get the final probability of any points on the road network. Finally, the GPS data of Beijing’s taxi in November of 2012 are taken as an example to illustrate the usage of the online prediction method, and the results show the real-time and accuracy of the proposed method.关键词
概率预测/GPS数据/路网数据/置信规则库/置信规则库推理方法(RIMER)Key words
probability prediction/GPS data/road network data/belief rule-base/belief rule-base inference method-ology using evidential reasoning (RIMER)分类
信息技术与安全科学引用本文复制引用
杨隆浩,蔡芷铃,黄志鑫,何星,傅仰耿..出租车乘车概率预测的置信规则库推理方法[J].计算机科学与探索,2015,(8):985-994,10.基金项目
The National Natural Science Foundation of China under Grant Nos.71371053,61300026,61300104(国家自然科学基金) （国家自然科学基金）
the Natural Science Foundation of Fujian Province of China under Grant No.2015J01248(福建省自然科学基金) （福建省自然科学基金）
the Science and Technology Project of Education Department of Fujian Province under Grant No. JA13036(福建省教育厅科技项目) （福建省教育厅科技项目）
the Science and Technology Development Foundation of Fuzhou University under Grant No.2014-XQ-26(福州大学科技发展基金项目) （福州大学科技发展基金项目）
the National Colle-giate Innovation and Entrepreneurship Training Program under Grant No.201310386030(国家级大学生创新创业训练计划项目) （国家级大学生创新创业训练计划项目）
