NDLI: A road network modeling method for map matching on lightweight mobile devices

Content Provider	Springer Nature Link
Author	Wu, Peili Liu, Kuien Zheng, Kai Ding, Zhiming Tan, Yuan
Copyright Year	2013
Abstract	With proliferation of lightweight mobile devices such as mobile phones and explosion of location-based social networking services, there is a growing demand for matching between geographic locations and road networks on mobile devices. Nonetheless, existing methods for map matching only focus on accuracy and/or efficiency improvement, whereas they seldom take into account the capacity for storing map data and energy consumption during the matching process. This paper presents a method that is specifically designed for lightweight mobile devices with limited storage and computing resources, thereby providing an effective solution for map matching on mobile and embedded environments. Extensive experiments were carried out to compare proposed method against traditional approaches. The results indicate that our method can cut down the storage cost for road networks by 75 % compared to traditional methods, with only 3–5 % extra running time, which demonstrates the practical usefulness and superiority of our proposal in real-world mobile applications.
Starting Page	145
Ending Page	164
Page Count	20
File Format	PDF
ISSN	09268782
Journal	Distributed and Parallel Databases
Volume Number	33
Issue Number	2
e-ISSN	15737578
Language	English
Publisher	Springer US
Publisher Date	2013-12-11
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Map matching Map modeling Lightweight mobile device Database Management Data Structures Information Systems Applications (incl. Internet) Operating Systems Memory Structures
Content Type	Text
Resource Type	Article
Subject	Information Systems and Management Information Systems Software Hardware and Architecture

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