A High-Efficiency Mobile Positioning System by Using Commercial Vehicle Operation Data Based on Cloud Computing Techniques

Chen, Chi‐Hua; Lin, Jia-Hong; Kuan, Ta-Sheng; Lo, Kuen-Rong

doi:10.1109/ithings.2014.57

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…For example, the cell ID is presented as 10721_47366 when location area code (LAC) is 10721 and service area code (SAC) is 47366. The cell-RSSI pair is presented as 10721_47366_21 when the cell ID is 10721_47366 and the RSSI is´21 dBm [33].…”

Section: Input Datamentioning

confidence: 99%

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

Chen

Lin

Kuan

et al. 2016

IJGI

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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.

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Section: Input Datamentioning

confidence: 99%

“…In this section, the architecture of a CVO system is proposed and implemented, and the experimental practical results from the CVO system are compared with different location determination methods to evaluate the proposed mobile positioning method [33]. …”

Section: Implementation and Evaluation Of A Commercial Vehicle Operatmentioning

confidence: 99%

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

Chen

Lin

Kuan

et al. 2016

IJGI

Self Cite

View full text Add to dashboard Cite

show abstract

A real time vehicle management system implementation on cloud computing platform

Lin

Doong

Hsieh

et al. 2017

IJHPCN

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A High-Efficiency Mobile Positioning System by Using Commercial Vehicle Operation Data Based on Cloud Computing Techniques

Cited by 2 publications

References 6 publications

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

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

A real time vehicle management system implementation on cloud computing platform

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