Evaluation of Location Estimation Method for Bus Location System based on Wireless Sensor Networks
One of methods to improve the convenience and quality of service provided by bus service operators is to implement a bus location system capable of providing positional and operation related information to the users. The authors have previously proposed and implemented a novel global positioning system (GPS)-based bus location system using wireless sensor networks interspersed in the city, which does therefore not entail any communication costs. In this paper, the authors propose a new bus location method that does not use GPS positioning, and thus reduces the manufacturing cost of the transceivers mounted on community buses. The authors develop prototype devices and conduct an on-road demonstration experiment, confirming that the required bus location information can be estimated with sufficient accuracy.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
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Supplemental Notes:
- © 2017 Wataru Nishio et al. Published by Elsevier B.V.
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Authors:
- Nishio, Wataru
- Suzuki, Hidekazu
- Matsumoto, Yukimasa
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Conference:
- World Conference on Transport Research - WCTR 2016
- Location: Shanghai , China
- Date: 2016-7-10 to 2016-7-15
- Publication Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Maps; Photos; References; Tables;
- Pagination: pp 3913-3925
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Serial:
- Transportation Research Procedia
- Volume: 25
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2352-1465
- Serial URL: http://www.sciencedirect.com/science/journal/23521465/
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Automatic vehicle location; Bus transportation; Evaluation and assessment; Global Positioning System; Quality of service; Sensors; Wireless communication systems
- Subject Areas: Data and Information Technology; Operations and Traffic Management; Public Transportation;
Filing Info
- Accession Number: 01639586
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 28 2017 2:39PM