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ISPRS Int. J. Geo-Inf. 2016, 5(6), 82; doi:10.3390/ijgi5060082

A High-Efficiency Method of Mobile Positioning Based on Commercial Vehicle Operation Data

1
Telecommunication Laboratories, Chunghwa Telecom Co., Ltd., Taoyuan 326, Taiwan
2
Department of Information Management and Finance, National Chiao Tung University, Hsinchu 300, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
Received: 26 March 2016 / Revised: 12 May 2016 / Accepted: 26 May 2016 / Published: 2 June 2016
(This article belongs to the Special Issue Applications of Internet of Things)
View Full-Text   |   Download PDF [5209 KB, uploaded 2 June 2016]   |  

Abstract

Commercial vehicle operation (CVO) has been a popular application of intelligent transportation systems. Location determination and route tracing of an on-board unit (OBU) in a vehicle is an important capability for CVO. However, large location errors from global positioning system (GPS) receivers may occur in cities that shield GPS signals. Therefore, a highly efficient mobile positioning method is proposed based on the collection and analysis of the cellular network signals of CVO data. Parallel- and cloud-computing techniques are designed into the proposed method to quickly determine the location of an OBU for CVO. Furthermore, this study proposes analytical models to analyze the availability of the proposed mobile positioning method with various outlier filtering criteria. Experimentally, a CVO system was designed and implemented to collect CVO data from Chunghwa Telecom vehicles and to analyze the cellular network signals of CVO data for location determination. A case study found that the average errors of location determination using the proposed method vs. using the traditional cell-ID-based location method were 163.7 m and 521.2 m, respectively. Furthermore, the practical results show that the average location error and availability of using the proposed method are better than using GPS or the cell-ID-based location method for each road type, particularly urban roads. Therefore, this approach is feasible to determine OBU locations for improving CVO. View Full-Text
Keywords: mobile positioning; commercial vehicle operation data; cellular network; cloud computing mobile positioning; commercial vehicle operation data; cellular network; cloud computing
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MDPI and ACS Style

Chen, C.-H.; Lin, J.-H.; Kuan, T.-S.; Lo, K.-R. A High-Efficiency Method of Mobile Positioning Based on Commercial Vehicle Operation Data. ISPRS Int. J. Geo-Inf. 2016, 5, 82.

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ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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