DOI: http://id.nii.ac.jp/1001/00197915/
Field Trial of Driver Management Application with Wearable Vital Sensor
DOI:
https://doi.org/10.51094/jxiv.726Keywords:
IoT, hitoe, Cloud Computing, Driver Management, Spark Streaming, Real-Time ProcessingAbstract
In this paper, we propose a transportation driver management application (DMA) that resolves existing problems to utilize workers' vital data to take real-time actions. Internet of Things (IoT) technologies have recently been progressing, but real-time actions based on workers' analyzed vital data have not yet been considered su!-ciently. The causes are insu!cient use of analysis methods of stream/micro batch processing, high network cost, and insu!cient backend system coordination. To resolve these problems, our DMA collects a driver's vital data in an electrocardiograph and acceleration from a wearable vital sensor hitoe and analyzes them on smart phones or the cloud to extract his/her posture and fatigue level. DMA can take real-time actions such as alerts or assignment of substitute drivers on the basis of analyzed dangerous driving or fatigue level. We implemented DMA and conducted a field trial with the Keifuku Bus Company from October to November 2016 to demonstrate its effectiveness.
IPSJ Digital Practice, Vol.10, No.3, pp.588-602, July 2019.
Conflicts of Interest Disclosure
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Published: 2024-05-31 10:34:32 UTC
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Yoji Yamato
Makoto Nakayama
Akihiro Chiba
Tomoaki Masuda
Tokutaro Yoshida
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