Blockchain-Autonomous Driving Systems

Author:

Kumari P. Lalitha Surya1ORCID

Affiliation:

1. Koneru Lakshmaiah University, Hyderabad, India

Abstract

Blockchain is the upcoming new information technology that could have quite a lot of significant future applications. In this chapter, the communication network for the reliable environment of intelligent vehicle systems is considered along with how the blockchain technology generates trust network among intelligent vehicles. It also discusses different factors that are effecting or motivating automotive industry, data-driven intelligent transportation system (D2ITS), structure of VANET, framework of intelligent vehicle data sharing based on blockchain used for intelligent vehicle communication and decentralized autonomous vehicles (DAV) network. It also talks about the different ways the autonomous vehicles use blockchain. Block-VN distributed architecture is discussed in detail. The different challenges of research and privacy and security of vehicular network are discussed.

Publisher

IGI Global

Reference24 articles.

1. Collision Avoidance in Air Traffic Management: A Mixed-Integer Linear Optimization Approach

2. BioThink Futuristic Vehicle for Mega-Cities. (2015) Available online: www.mohammadghezel.com

3. ElMahdy. (2015). Available online: ww.behance.net/

4. Event data recorder. (2017). Available: https://en.wikipedia. org/wiki/Eventdatarecorder

5. Enhancing Realism in Modeling Merge Junctions in Analytical Models for System-Optimal Dynamic Traffic Assignment

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1. A decision-making model for self-driving vehicles based on GPT-4V, federated reinforcement learning, and blockchain;Neural Computing and Applications;2024-09-04

2. Machine Learning based Enhanced Autonomous Driving for Autonomous Vehicles;2023 International Conference on Inventive Computation Technologies (ICICT);2023-04-26

3. Blockchain and Autonomous Vehicles: Architecture, Security and Challenges;2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT);2022-07

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