Traffic Status Estimate based on Data Fusion

摘要：

Traffic information estimation is one of the most functions of Intelligent Transportation System (ITS). At present, it is estimated based on single data source, especially GPS data. The average speed of floating cars is generally utilized to evaluate the route status. However, the speed can not always represent the real traffic status, and usually leads to misjudge. Thus, Multi-source should be evaluated to acquire more accurate estimate. In the paper, Rough Sets Theory is utilized to fuse different data to more accurately estimate the traffic status, including current GPS data from uplink and downlink lanes and historical data. An example is also presentd.

关键词： traffic status estimate data fusion rough sets theory

作者: Chen Lin Wei Shutao Shi Linxiang

作者单位: College of Computer and Information Shanghai Second Polytechnic University Shanghai, China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Education Technology and Computer(第二届IEEE教育技术与计算机国际会议 ICETC 2010)

会议地点: 上海

会议语种:英文

页码: 144-146

在线出版日期: 2010-06-22（万方平台首次上网日期，不代表论文的发表时间）