NDLI: Parallel Map Matching on Massive Vehicle GPS Data Using MapReduce

Content Provider	IEEE Xplore Digital Library
Author	Jian Huang Shaoqing Qiao Haitao Yu Jinhui Qie Chunwei Liu
Copyright Year	2013
Description	Author affiliation: Beijing Transp. Inf. Center, Beijing, China (Haitao Yu) \|\| Sch. of Comput. Sci. & Eng., Beihang Univ., Beijing, China (Jian Huang; Shaoqing Qiao) \|\| Sch. of Software, Beihang Univ., Beijing, China (Jinhui Qie) \|\| Nat. Space Sci. Center, Beijing, China (Chunwei Liu)
Abstract	The procedure of matching vehicle location data onto road map is very essential for many ITS (Intelligent Transportation System) applications. However, with the boosting deployment of GPS devices in vehicles, the accumulation of huge amount of GPS data caused great challenge on the efficiency and scalability of traditional serial map matching algorithm. In this paper we address the challenge by presenting a novel parallel map matching algorithm to realize high-performance processing of GPS data. The main idea is to adapt the serial map matching algorithm for cloud computing environment by reforming its' data-intensive or I/O-intensive computing stages using MapReduce paradigm. We implemented the algorithm in Hadoop platform and tested its performance by a large GPS dataset exceeds 120 billion GPS records. Experimental results show that our approach is highly efficient and scalable for massive historical GPS data processing.
Sponsorship	IEEE Comput. Soc.
Starting Page	1498
Ending Page	1503
File Size	480248
Page Count	6
File Format	PDF
ISBN	9780769550886
DOI	10.1109/HPCC.and.EUC.2013.211
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Algorithm design and analysis Cloud-Commputing Map Matching Roads Hadoop Global Positioning System Vehicles Sorting MapReduce
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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