SO-SMART: A proactive SOcial-based framework for SMART transportation

News

About SO-SMART

The successful design and development of sustainable transportation solutions is a well-expected purpose of decarbonisation processes. The objective of this project is to co-design with stakeholders at large, on an infrastructure that encompasses innovative cloud computing, proactive social data and spatial web framework that leverages current transportation services; from the coordination of bus timetables to the promotion of ride-sharing facilities.

The main objective is to take advantage of existing public transportation resources and ride-sharing opportunities and to integrate them into a proactive computing environment that will facilitate public access to these services as well as optimization for the different categories of stakeholders. Not only does the framework act as a dynamic solution to the inference and suggestion of collaborative transportation, but also enables incentives to do so. For local authorities, the solution will serve as a dynamic environment to monitor and optimise transportation patterns that emerge at the local and regional scales.

The project will first experiment in the context of the urban areas of the Onna-Ishikawa area of the island of Okinawa, which is currently under severe environmental pressure due to heavy transportation flows due to tourism and resident activities and a lack of coordination of current resources. The project involves a well-defined Japanese-EU consortium that brings complementary expertise, a key factor at all stages of the development of the project that will involve stakeholders and citizens from the very start. The aim is to promote a transformative process that encompasses a social and smart community involved in the development of sustainable transportation services. 

Events

Prototype Application

“MAPINION” on LINE Chat collects comments about transportation-related issues from users in the Onna-Ishikawa area, Okinawa. These comments are displayed on the map (center) and analyzed to support our system development. This research was ethically reviewed and approved by NAIST (2024-I-40). We appreciate your participation and input! 

MAPINION Map: User comments will be displayed on the map
You can submit comments about your current location

Project Team Members

Shoko Wakamiya
Nara Institute of Science and Technology (NAIST), Japan
(Japan based PI)

Attila Kertesz
University of Szeged (USZ), Hungary
(EU based PI)

Ismail Rakip Karas
Karabuk University (KBU), Turkey

Teriitutea Quesnot
University of Western Brittany (UBO), France

Christophe Claramunt
Okinawa Institute of Science and Technology (OIST), Japan

Wan-Jou (Lavender) She
Kyoto Institute of Technology (KIT), Japan

Eiji Aramaki
Nara Institute of Science and Technology (NAIST), Japan

Tamas Pflanzner
University of Szeged (USZ), Hungary

Yasin Ortakci
Karabuk University (KBU), Turkey

Nehad Remaha
Karabuk University (KBU), Turkey

Jonas Fischer
Okinawa Institute of Science and Technology (OIST), Japan

Panote Siriaraya
Kyoto Institute of Technology (KIT), Japan

Kazuhiro Ito
Nara Institute of Science and Technology (NAIST), Japan

Junko Hayashi
Nara Institute of Science and Technology (NAIST), Japan

Miona Shimizu
Nara Institute of Science and Technology (NAIST), Japan

Zahra Delavari
University of Szeged (USZ), Hungary

Kübra KöSE
Karabuk University (KBU), Turkey

Şüheda Semih Açmali

Karabuk University (KBU), Turkey

Acknowledgements

This work was supported by JST SICORP Grant Number JPMJSC23C6, Japan.

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