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Proposing a System for Collaborative Traffic Information Gathering and Sharing Incentivized by Blockchain Technology

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Advances in Intelligent Networking and Collaborative Systems (INCoS 2018)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 23))

Abstract

In the context of transportation technologies for smart city, recently, self-driving and connected cars have been studied with increased attention to realize more efficient and safer transportation. On the other hand, applications of blockchain and its Layer 2 technologies to IoT and cyber-physical systems have been considered for achieving sharing economy. The blockchain explores new incentive-based value exchange system using reliable data structure with resistance to information tampering despite the absence of reliable central control. In this paper, we propose a distributed system for collaborative traffic information gathering and sharing incentivized by blockchain technology. I consider that beacon devices are deployed along road segments by many and unspecified users. These devices collaboratively estimate traffic count and status, and also detect traffic jam and accidents to gather and share them coordinated by the incentive from its digital currency. After introducing an idea of how to realize this system, I demonstrate numerical simulations to evaluate some preliminary results for how the proposed system works and responds to real-time traffic conditions, such as traffic accident and jam in the road segment.

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Acknowledgements

This work was partially supported by the Japan Society for the Promotion of Science (JSPS) through KAKENHI (Grants-in-Aid for Scientific Research) Grant Numbers 17K00141 and 17H01742. The author thanks Dr. Shigeichiro Yamasaki for useful discussion and comments on the proposed system.

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Correspondence to Akihiro Fujihara .

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Fujihara, A. (2019). Proposing a System for Collaborative Traffic Information Gathering and Sharing Incentivized by Blockchain Technology. In: Xhafa, F., Barolli, L., Greguš, M. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 23. Springer, Cham. https://doi.org/10.1007/978-3-319-98557-2_16

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