A Mobile Positioning Method Based on Integrated Heterogeneous Networks for Commercial Vehicle Operation System

Liu, Genggeng; Guo, Canyang; Chen, Chi‐Hua; Guo, Wenzhong; Hwang, Feng-Jang

doi:10.1109/icii.2019.00073

Cited by 2 publications

(1 citation statement)

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“…Information from other communication networks can also be integrated with Wi-Fi for positioning. In [80], the authors proposed a mobile positioning method based on integrated heterogeneous networks (e.g., cellular networks and Wi-Fi networks) for urban areas with many shelters where GPS positioning may generate large errors. Results showed that the proposed method could be well adapted to commercial vehicle operation systems as well as outdoor positioning.…”

Section: Combination Positioningmentioning

confidence: 99%

A Review of Wi-Fi-Based Traffic Detection Technology in the Field of Intelligent Transportation Systems

Lin

Lyu

et al. 2022

Buildings

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With the increasing innovation and development of Wi-Fi technology, its penetration in the various fields of industry and academia is becoming more and more profound. As the core infrastructure of traffic data collection in the field of Intelligent Transportation Systems (ITS), Wi-Fi-based traffic detectors have great potential for use in traffic target positioning, perception, and pattern recognition due to their low-cost and extensive infrastructure deployment. This paper conducts a comprehensive review of three major Wi-Fi-based traffic detection applications in the field of ITS: target positioning, traffic parameter extraction, and travel mode identification. Among these, target positioning is one of the most widespread applications of Wi-Fi technology, which is also the basis for two other research aspects. Moreover, Wi-Fi-based positioning can be divided into two categories: ranging-based positioning and range-free one; in the field of transportation, it can also be categorized into pedestrian positioning and vehicle positioning based on travel mode. To further demonstrate the effectiveness of Wi-Fi-based ITS applications in practice, this study compares with the various Wi-Fi-involved models and algorithms around the world, as well as provides some ideas and inspiration along with this direction.

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Section: Combination Positioningmentioning

confidence: 99%