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A Blockchain-based Transaction Verification Infrastructure in Public Transportation

Saritas Hidayet Burak, Kardas Geylani

Annals of Computer Science and Information Systems

2024

Vol. 39

169--176

This paper proposes a new blockchain-based transaction verification infrastructure for co-payment and data verification for multi-modal public transportation systems. Our solution offers a decentralized platform that ensures secure co-payments and data integrity while addressing interoperability, data security and transactional transparency. With a private blockchain, transportation providers act as nodes and validated, consensus-approved transactions increase trust and transparency. A standardized data format and robust algorithms for data contribution by transport operators are developed as well as a model for operators, assets, and transactions. Including zero-knowledge proofs improves user privacy by allowing secure authentication without revealing sensitive data. We believe that this research may lead a closer collaboration between public transport operators and provide an enhanced user experience while enabling transport transaction security and data verification.

Assessment of correctness of information obtained from Automatic Identification of Ship's System (AIS)

Śniegocki H.

Journal of KONES

2010

Vol. 17, No. 3

437-442

In order to provide safety of navigation, the ship's officer employs a lot of different devices which are installed on navigational bridge. One of them, very useful equipment is system for Automatic Identification of Ships (AIS). How ever, the Information thus obtained can be inaccurate or even false. In this article the author presented ways to verify the data obtained from Automatic Identification of Ships (AIS) with the help of radar (ARPA). The advantages of earlier verification of information obtained from AIS are presented when a vessel is manoeuvring and the data presented by ARPA are not reliable. An algorithm of a program which makes it possible to verify the reliability of data obtained from AIS has been presented here. A possibility has been demonstrated of constructing a device employing that algorithm in order to support the navigating officer in making decisions avoiding collisions. This system will alert the Watch Officer about incorrectness and about inaccuracy of ARPA and AIS. This solution could be a very helpful tool to be used in adverse weather conditions particularly for the vessels in collision situation.