Cloud computing-based map-matching for transportation data center

作者：

Highlights：

• Propose a leapfrog method to improve the efficiency of map-matching algorithm.

• Use MapReduce to adapt the serial map-matching algorithm for cloud computing environment.

• Propose a privacy-aware map-matching model over hybrid clouds.

摘要

•Propose a leapfrog method to improve the efficiency of map-matching algorithm.•Use MapReduce to adapt the serial map-matching algorithm for cloud computing environment.•Propose a privacy-aware map-matching model over hybrid clouds.

论文关键词：Map-matching,MapReduce,Hadoop,Vehicle tracking data,GPS privacy protection

论文评审过程：Received 17 November 2014, Revised 16 February 2015, Accepted 6 March 2015, Available online 14 May 2015, Version of Record 7 December 2015.

论文官网地址：https://doi.org/10.1016/j.elerap.2015.03.006