Achieving a Decentralized and Secure Cab Sharing System Using Blockchain Technology

作     者：Namasudra, Suyel Sharma, Pratima 

作者机构：Natl Inst Technol Patna Dept Comp Sci & Engn Patna Bihar India Bennett Univ Dept Comp Sci Engn Greater Noida 201310 Uttar Pradesh India 

出 版 物：《IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS》 (IEEE Trans. Intell. Transp. Syst.)

年 卷 期：2023年第24卷第12期

页      面：15568-15577页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0814[工学-土木工程] 0823[工学-交通运输工程] 

主　　题：Blockchains Vehicles Security Cryptography Smart contracts Privacy Consensus algorithm Ride-sharing system delegated proof of stake data security reputation system 

摘      要：The cab-sharing system provides a platform for drivers and riders with shared trip services, providing significant benefits, such as decreasing traffic congestion, reducing travel costs, and limiting energy consumption, which improve the business of transportation. However, existing cab-sharing systems mainly depend on the centralized authority to provide many services, increasing privacy concerns and facing the single point of failure issue. Also, these systems expose drivers or riders locations and personal information that increase security issues, and charge high fees for services due to the involvement of third-party providers. Therefore, this paper proposes a decentralized and secure cab-sharing system to provide ride-sharing services using blockchain technology without any trusted third party. The proposed system uses the blockchain structure to preserve the driver s or rider s information, such as personal details, travel price, pickup or drop-off locations, departure or arrival date, and time. Furthermore, it implements the reputation feature to rate drivers and riders based on their travel history or behaviors without any centralized authority that allows users to select them based on their past experiences on the system. The proposed architecture is deployed using the Ethereum platform and functionality is designed using smart contracts. The performance evaluation and experimental results show that the proposed system requires low computational overheads and provides an efficient cab-sharing platform.