Real-time intelligent recognition of transportation modes via smartphones

Satoru Harada, Wisinee Wisetjindawat, Jessada Sresakoolchai, Junhui Huang, Sakdirat Kaewunruen, Shuichiro Sakikawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Travel mode recognition as well as activity recognition has gained some momentum in recent years. Travel mode recognition can be viewed similarly as activity recognition and can be solved as a classification problem where Machine Learning is widely used in this area. The University of Birmingham and Hitachi Europe have jointly developed new, innovative AI models, capable of recognising the complex and fuzzy patterns of mobility and transport modes. In recent years, mobile sensing has gained a strong momentum in various technological applications in the Industry 4.0 era. The real-time mobile sensing actually allows extensive applications including the use of mobile sensing data for transport mode classification, which forms the basis of this research. Its future implementation on blockchain can promote and decentralise public users’ leaderships for sustainable mobility.
Original languageEnglish
Title of host publicationWorld Congress on Railway Research 2022
Publication statusAccepted/In press - 31 May 2022
EventWorld Congress on Railway Research 2022: WCRR2022 - Birmingham, Birmingham, United Kingdom
Duration: 6 Jun 202210 Jun 2022


ConferenceWorld Congress on Railway Research 2022
Abbreviated titleWCRR2022
Country/TerritoryUnited Kingdom
Internet address

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Not yet published as of 08/12/2023.


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