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MiMoSense: An Open Crowdsensing Platform for Micro-Mobility

Authors :
Kaoru Sezaki
Yuuki Nishiyama
Zengyi Han
Hong Duc Nguyen
Shunsuke Aoki
Source :
ITSC
Publication Year :
2021
Publisher :
IEEE, 2021.

Abstract

The use of micro-mobility (e.g., bicycle and scooter) and their data for urban sensing and rider assessment is becoming increasingly popular in research. However, different research topics require different sensor setups; no general data collecting tools for the micro-mobility makes the researcher who wishes to collect data has to build their own collecting system from scratch. To this end, we present MiMoSense, an open crowdsensing platform for micro-mobility. MiMoSense consists of two components: (1) MiMoSense server, which is set up on the cloud, and used to manage sensing studies and the collected data for research and sharing. (2) MiMoSense client, uses micro-mobility carrying various sensors and IoT devices to collect multiple kinds of data during traveling. As a reusable open-source software, MiMoSense shifts the researcher's focus from software development to sensing data analysis; it can help researchers quickly develop an extensible platform for collecting micro-mobility's raw sensing data and inferring traveling context. We have evaluated MiMoSense's battery consumption, message latency and discuss its use.

Details

Database :
OpenAIRE
Journal :
2021 IEEE International Intelligent Transportation Systems Conference (ITSC)
Accession number :
edsair.doi...........2117e2405b1682bfa28fa4c02b14d08a
Full Text :
https://doi.org/10.1109/itsc48978.2021.9564524