Abstract The future of transportation could be dramatically reshaped by the advent of blockchain‐powered solutions, with a particular emphasis on Intelligent Transportation Systems (ITS). Despite potential roadblocks such as security, privacy, and interoperability issues, blockchain technology stands out as a potent tool for overcoming these challenges while simultaneously boosting the efficiency and safety of ITS. This systematic literature review (SLR) analyzes 60 articles to explore potential applications and perceived benefits of integrating blockchain in ITS. Addressing two key research questions, the study identifies diverse applications of blockchain, ranging from enhancing security to building trust in transportation systems. The review sheds light on how blockchain can transform ITS by fostering trust and exploring the prospects of its applications. This exploration highlights blockchain's potential to redefine the transportation landscape within smart cities.
Location-Based Services (LBS) have greatly improved efficiency and functionality in various domains, but privacy and security concerns remain due to the centralized nature of many existing systems. To address these issues, this paper introduces the V-Track system, a decentralized architecture using blockchain technology for reliable vehicle location verification. By integrating GPS devices (SparkFun GPS NEO-M9), IoT-enabled sensors, and a Cosmos blockchain-based ledger (network of interconnected blockchains), V-Track aims to solve centralized LBS problems. Through rigorous simulation experiments, this paper evaluates the performance and security of the V-Track system and demonstrates its potential to provide reliable location verification while preserving user privacy. This paper makes significant contributions by presenting V-Track as a decentralized solution to centralized LBS privacy and security problems, enhancing reliability and trustworthiness through blockchain integration, improving tracking mechanisms with GPS devices and IoT sensors for improved accuracy, and providing a privacy-preserving alternative to centralized LBS through its decentralized design and use of blockchain technology. These advancements hold promise for applications across multiple sectors, including logistics, supply chain management, urban planning, and emerging fields such as autonomous vehicles and augmented reality.
Edgar Roberto Dulce Villarreal, J. Garcia-Alonso, Julio Ariel Hurtado Alegría
Purpose The use of technology applied to the care of ageing adults is a key strategy to increase the effectiveness of health care delivery, thus contributing to a higher quality of life for ageing people.However, a general and important concern is data security and privacy.Given the security provided by Blockchain (BC), the interest in this technology is growing at an accelerated pace in different contexts, and support for aging is no exception.Security in this type of technologies rests, among other things, on Smart Contracts (SC), immutable decentralized programs for BC platforms that enforce, monitor and execute agreements, without the intervention of a trusted third party.Due to the variety of technologies and their particularities, the development of SCs is a complex process, since the architectural constraints of each platform must be considered.This paper presents a Model Driven Engineering (MDE) tool that automatically generates SCs using the Solidity programming language, in the context of a senior care process, for deployment on the Ethereum platform.This tool complements and serves as a starting point for the framework presented in (E.R. D. Villarreal, et al. 2023).For this purpose, an Ethereum SEPM Platform Specific Metamodel and a Model to Text Transformation to generate the SCs (SEP2Solidity) are presented (See the additional material in a public repository 1 ).As a proof of concept, a metamodel, a model and a deployed SC was generated and implemented, using the functionality assessment on the Elderly Nursing Core Set (ENCS) (M, Lopes.2013).The ENCS assesses quality of life in terms of functioning among ageing adults (based on the International Classification of Functioning, Disability and Health (ICF)).Method Our aim to contribute to the care of ageing people began with the identification of a problem (Dulce, E., Hurtado, J. 2021).We have analyzed the contributions that BC can have in the care of ageing people and identified shortcomings of BC technology, directly in the development of SC.In the literature review, we have analyzed the significant contributions that MDE technology can have to perform the specification and transformation of SC between different BC platforms.Based on MDE, we have created a 4-level architecture, where we have defined the real-world elements (M0), the models (M1) and the meta-models (M2) required for the whole MDE ecosystem (Figure 1).For the construction of the metamodel, we followed the interactive and iterative approach proposed in (N.Sanchez, 2022) this, allows the specification of model fragments by domain experts.These fragments can be annotated with descriptions about the intent or requirements of certain elements.A metamodel is automatically induced, which can be interactively refactored and then compiled into an implementation metamodel for different platforms and purposes.In our case for the Ethereum BC platform.The Eclipse Modelling Framework development environment was used (eCore as metamodel, Acceleo for m2t transformation) and also, Remix IDE was used for SC deployment.Results and Discussion With the metamodel created, the model of an SC for the ENCS administration was created, then, with the m2t transformation, the source code of the SC was generated.Remix was then used to implement and deploy the SC (deploy.docxfile in the supplementary material).The data obtained in Remix shows the successful deployment of the SC.Furthermore, the results indicate that our metamodel is able to generate: constructors, users, assets, global and local variables, primitive data types, functions, mappings, structures, events, among others, required in SCs for Ethereum BC platforms, preserving the syntax of the solidity.Likewise, our tool can contribute in the maturation and specification of SCs that support ageing care, directly in secure and privacy data management, e.g., ENCS, since ultimately the management of their data depends on well-structured SCs.Also, moving forward in our work, we will create this same scenario for other BC platforms and programming languages.This will enhance SC transformation between different BC platforms, contributing to the interoperability and security of this entire ecosystem.
Karlson Hargroves, Peter Newman, Ganesh Raj Joshi, Benjamin James
A dominance of private vehicles in cities around the world has led to unsustainable levels of congestion, pollution, and human harm, which stand to be exacerbated by future growth. This paper briefly outlines the implications of rapid urbanization based on private vehicles and then provides an overview of the benefits associated with Integrated Shared Transit (IST) services. IST can provide a number of benefits such as improved public health outcomes, reduced congestion, and reduced land use from car parking, along with economic development and job creation Opportunities. A recent study suggested this approach presents strong local economic multipliers with every US$1 invested in shared transit creating as much as US$4 in economic returns. The paper then provides a review of four important areas, namely: the shift to electro-mobility, the creation of transit activated corridors (TACs), advanced freight telematics exchange, and the use of disruptive technologies including artificial intelligence and distributed ledgers. The paper then concludes with the recommendation to shift focus from a model of private vehicle dominance to a system of integrated shared transit that is supported by private modes.
In the networked enlarged electric vehicle (EV) charging infrastructures, the security and authenticity of the stakeholders involved in the EV energy market pool are prime important. This paper proposes an EV network hub (EVNH) comprising electric vehicles, electric vehicle aggregators (EVAs), and charging nodes in the networked EV energy market pool. The various EVAs implement different heterogeneous blockchains. The EV network hub facilitates blockchain-based secure and resilient energy trading under the grid to vehicle and vehicle to grid. The paper emphasizes interoperability challenges involving different blockchains to communicate and transfer assets or data between them. We suggest secure and trustworthy energy trading across various EVAs using multiple EV tokens for EV energy trading through cross-chain communications. The EVAs consider a Nash equilibrium-seeking strategy to find the Nash equilibrium in the non-cooperative game of EVAs. The effectiveness of the proposed EV network hub is tested using MATLAB, Solidity, and Python software.
The latest study sheds light on distributed ledger technologies (DLTs) outside blockchain systems. The first section of this article introduces DLTs, focusing on blockchain as the main paradigm. It highlights three critical characteristics of blockchain: decentralisation, transparency, and security, and emphasises how blockchain is transforming various industries, including supply chain management and finance. Subsequently, the discussion shifts to new developments and approaches in the DLT space. It introduces next-generation ledgers designed to address traditional blockchains' scalability, energy efficiency, and interoperability challenges. The study delves into modern innovations that achieve higher transaction speeds and greater flexibility, such as hybrid models and directed acyclic graphs (DAGs). A significant portion is dedicated to how these advanced DLTs are used to transform sectors like healthcare government, secure patient data management, and enhance transparency and citizen participation. The article also addresses the challenges and ethical considerations of using these technologies. Finally, the paper predicts that DLTs will improve efficiency and innovation in industries outside blockchain technology. To maximise these new technologies' potential, research and interdisciplinary collaboration are essential.
Shuchen Zhou, Lei Yu, Yinling Wang, Sami Dhahbi · 6 authors
In this paper, we utilise blockchain technology (BT) and circular q -rung orthopair fuzzy sets ( C q -ROFS) to address practical issues related to urban transportation and supply chain management (SCM). Recognising the weaknesses of earlier approaches such as circular intuitionistic fuzzy sets (C-IFS), we work C q -ROFS to better accommodate imprecise input. Novel approaches that use into metaverse settings are being investigated as a means of addressing the complex problems associated with urban mobility. This study use the SWARA-AROMAN approach to evaluate potential blockchain integration possibilities for metaverse urban mobility. Sensitivity analysis and comprehensive evaluation yield powerful insights into the robustness and adaptability of solutions. With these findings at their disposal, policymakers will be more equipped to take on unpredictability and take advantage of opportunities for sustainable urban mobility. To enhance urban transportation solutions in the dynamic metaverse, future strategies should concentrate on improving processes and exploring novel technology. Ultimately, this research emphasises how critical it is to foster interdisciplinary collaboration and ongoing innovation if we hope to influence the patterns of urban mobility in the metaverse.
<div>Supply chain management is key to industry efficiency, while information security and transparency are at the core of operations management. Blockchain technology shows great potential in this regard and can effectively make up for existing shortcomings. This article deeply explores the application of blockchain in new energy vehicle supply chain management, focusing on enhancing the systematization and collaboration of the supply chain through smart contract mechanisms. We established a collaborative contract model for the three-level supply chain. Especially from the perspective of the intermediate supply chain, we designed a smart contract mechanism to optimize key links such as order processing, payment, and logistics tracking, and used the alliance chain to ensure the safe sharing and sharing of information. At the same time, we have also developed an interactive system for each link of the supply chain and achieved smooth interaction in the new energy vehicle supply chain by adjusting the parameters and functions of smart contracts. Using the Ethereum scripting language, we built a blockchain smart contract mechanism based on supply chain contracts. This research not only demonstrates the potential value of blockchain technology in promoting supply chain information sharing and enhancing mutual trust, but also highlights its importance in supply chain management innovation and practical application.</div>
Christos N Kontos, Theodor Panagiotakopoulos, Achilles Kameas
Transportation plays an important role in urban development. Population growth and environmental burden have turned the efforts of cities globally towards smarter and greener mobility. Cooperative and Connected Automated Mobility (CCAM) serves as a concept with the power and potential to help achieve these goals building upon technological fields like Internet of Things, computer vision and distributed computing. However, its implementation is hindered by various challenges covering technical parameters such as performance and reliability in tandem with other issues, such as safety, accountability and trust. To overcome these issues, new distributed and decentralized approaches like blockchain and smart contracts are needed. This paper aims at identifying a comprehensive inventory of CCAM challenges and use it as a framework to describe methodologies using blockchain and smart contracts to address them. It provides a comparative analysis of the findings to draw useful conclusions and discuss future directions in CCAM and relevant blockchain applications. The paper contributes to intelligent transportation systems’ research by offering an integrated view of the difficulties in substantiating CCAM and providing insights on the most prominent blockchain and smart contract technologies that tackle them.
Stefanos Chaliasos, Denis Firsov, Benjamin Livshits
Blockchains like Bitcoin and Ethereum have revolutionized digital transactions, yet scalability issues persist. Layer 2 solutions, such as validity proof Rollups (ZK-Rollups), aim to address these challenges by processing transactions off-chain and validating them on the main chain. However, concerns remain about security and censorship resistance, particularly regarding centralized control in Layer 2 and inadequate mechanisms for enforcing these properties through Layer 1 smart contracts. In their current form, L2s are susceptible to multisig attacks that can lead to total user funds loss. This work presents a formal analysis using the Alloy specification language to examine and design key Layer 2 functionalities, including forced transaction queues, safe blacklisting, and upgradeability. Through this analysis, we identify pitfalls in existing designs and introduce an enhanced model that has been model-checked to be correct. Finally, we propose a complete end-to-end methodology to analyze rollups' security and censorship resistance based on manually translating Alloy properties to property-based testing invariants, setting new standards.
This chapter investigates the creative uses and underlying difficulties of integrating blockchain and artificial intelligence (AI) technology in electric vehicle (EV) charging systems. It thoroughly examines the industry's state today, highlighting AI-driven advancements like dynamic pricing, predictive maintenance, and user behaviour monitoring for better charging station operations. The chapter also examines how smart contracts and decentralised processes in blockchain provide safe and effective transactions in the EV charging infrastructure. Real-life case studies demonstrate effective deployments worldwide and provide insights into the advantages and practical problems. The conversation ends with a critical analysis of the issues, such as legislative barriers and data privacy concerns, and a look ahead, highlighting the revolutionary potential of blockchain and artificial intelligence in reshaping the landscape of sustainable mobility.
Risk and uncertainty are crucial factors in decision-making processes, especially when integrating emerging technologies into essential systems like supply chains. Failing to adequately consider significant risks can disrupt supply chain operations, leading to a loss of competitive edge and causing financial and reputational damage. On the other hand, the complex nature of new technology environments, differing viewpoints among stakeholders, and the challenges of interpreting data introduce a variety of uncertainties in decision-making. In this study, we conduct a thorough examination of how blockchain strategies can be applied within supply chain frameworks. Our analysis utilizes data-driven network decision-making models that are refined to effectively manage uncertainty and risk. These models take into account aspects such as supply chain dynamics and technological factors. Importantly, we meld risk considerations with our models to tackle efficiency shortfalls, while also accounting for uncertainty caused by ambiguous and stochastic data environments. By applying and assessing these models in a real-world case study of the oil and gas industry, our research uncovers insightful observations. Specifically, we find that adopting a localization strategy presents specific risks, while a single-use strategy yields significant efficiency improvements.
Aman Dwivedi, Divyansh Sharma, Sharad Gumber, Satyam Gupta
Abstract: Carpooling has seen a significant upsurge in popularity in recent years since it relieves commuters of the burden of driving a car and later spares them from the mad dash to locate a parking space. The industry now uses centralised database servers, which puts the system at risk of hacking, causes data leaks, and undermines security within the system. Additionally, there is a chance that the owner will misuse the data in a centralised system. Since the newly developed Blockchain technology provides complete anonymity and database transparency, data security and traceability may be guaranteed across the entire server. The goal of the suggested solution is to create and implement a blockchain-based, smart contract-based peer-to-peer vehicle sharing system. The Solidity programming language is utilised to carry out the smart contracts. Ethereum blockchain is used in the ecosystem's construction. Eliminating the middleman would result in a peer-to- peer (P2P) car-sharing programme, which would reflect decreased costs and exposure to data theft.
Krzysztof Gogol, Johnnatan Messias, Deborah Miori, Claudio J. Tessone · 5 authors
This study quantifies the potential non-atomic MEV on Layer-2 (L2) blockchains by measuring the arbitrage opportunities between cross-rollup and DEX-CEX. Over recent years, we observe a shift in trading activities from Ethereum to rollups, with swaps on rollups occurring 2-3 times more frequently, albeit with lower trade volumes. By analyzing the costs of swap on L2s and price discrepancies cross-rollup and DEX-CEX, we identify more than 500 000 unexplored arbitrage opportunities. In particular, we find that these opportunities persist, on average, for 10 to 20 blocks, necessitating the modification of the Loss Versus Rebalancing (LVR) metric to prevent double-counting. Our findings indicate that the arbitrage opportunities in Arbitrum, Base, and Optimism range between 0.03% and 0.05% of the trading volume, while in the ZKsync it fluctuates around 0.25%.
David Ballaschk, Constantin Drott, Stefan Mitzlaff
Cross-border payments, especially between different currency areas, are still more expensive, slower and less transparent than domestic transactions. In addition to attempts to facilitate interoperability by harmonising message standards or legal frameworks, there is also the vision of using multilateral platforms to reduce existing inefficiencies. A particular focus here is on distributed ledger technology (DLT), which could create additional benefits beyond payment transactions, for example by facilitating broader economic activity by means of tokenised assets. Some private sector players, as well as international organisations such as the International Monetary Fund and the Bank for International Settlements, have already developed concepts for DLT-based multilateral platforms. However, their realisation faces broader policy challenges that are unlikely to be solved per se with the help of new technologies. Although a global multilateral platform does indeed harbour great potential for efficiency gains, regional solutions are more likely to emerge that could be linked together to achieve efficiency gains at a global level.
Srisht Fateh Singh, Panagiotis Michalopoulos, Andreas Veneris
This paper introduces BAKUP, a smart contract insurance design for decentralized finance users to mitigate risks arising from platform vulnerabilities. While providing automated claim payout, BAKUP utilizes a modular structure to harmonize three key features: the platform's resilience against vulnerabilities, the flexibility of underwritten policies, and capital efficiency. An immutable core module performs capital accounting while ensuring robustness against external vulnerabilities, a customizable oracle module enables the underwriting of novel policies, and an optional and peripheral yield module allows users to independently manage additional yield. The implementation incorporates binary conditional tokens that are tradable on automated market maker (AMM)-based exchanges. Finally, the paper examines specific liquidity provision strategies for the conditional tokens, demonstrating that a conservative strategy and parameterization can effectively reduce the divergence loss of liquidity providers by more than 47 % compared to a naive strategy in the worst-case scenario.
The visitor economy is responsible for a substantial percentage of the global carbon footprint. The mechanisms used to decarbonize it are insufficient, and the industry is relying on carbon trading with substandard credits that allow businesses to outsource the responsibility to decarbonize. We aim to transform carbon markets, help finance climate investments, and support decarbonization strategies. We identify and define the problem, outline the components and their interactions, and develop a conceptual model to transform carbon markets. The new, blockchain-based Carbon Tokenomics Model rolls out a decentralized database to store, trade, and manage carbon credits, with the goal of enabling sustainable climate finance investment. We outline the criteria needed for an industry-wide carbon calculator. We explain the process needed to increase rigor in climate investments in the visitor economy and introduce a delegated Proof of Commitment consensus mechanism. Our inclusive and transparent model illustrates how to reduce transaction costs and how to build consumer and industry trust, generating much-needed investments for decarbonization.
In recent years, utilization of distributed generation systems has been announced as a strategic and tactical mission of Iran’s Ministry of Energy (IME) to supply electricity. Successful implementation of this mission needs to investigate the energy buying regulations and technical and financial considerations in the distribution processes. On the other hand, the development of blockchain technology as a safe and transparent platform for conducting financial transactions as well as providing smart contracts has been widely established in the last decade. Therefore, this paper tries to propose a conceptual framework to manage the electricity trade with Distributed Generation (DG) systems using the smart contract platform. Furthermore, the interactions between network members are discussed in detail.
Traditional cab booking applications suffer from many issues, including centralized control, data vulnerabilities, and high operational costs paid to companies. These limitations necessitate a transition towards decentralized alternatives to address the growing need for more efficient, cost-effective, and secure transportation services. This paper presents an idea that uses blockchain technology to improve the cab booking system. In the proposed system, the aim is to eliminate central authorities, offering an array of benefits such as enhanced security, reduced costs, and increased transparency throughout the booking process. To achieve this, smart contracts are employed to automate and secure transactions. The client-side page is deployed to the InterPlanetary File System (IPFS) for improved accessibility and redundancy. Additionally, the creation and utilization of oracle networks for real-time, trustworthy location data are suggested. The approach represents a paradigm shift in the transportation industry, ensuring data privacy, cost-efficiency, and transparency while eliminating the need for centralized intermediaries. Through the integration of smart contracts, IPFS, and oracle networks, a promising path towards a decentralized and secure cab booking ecosystem is offered.
With the growing prominence of the Internet of Vehicles (IoV), there is an unprecedented generation of vehicular data, which harbors immense potential for diverse applications. Considering the convergence of blockchain technology and IoV, blockchain can be used as a distributed ledger to establish a decentralised and autonomous trading platform for IoV networks. However, the limitations in the power and computational capacities of IoV devices hinder their direct involvement in the Proof-of-Work (PoW) process. Addressing this challenge, offloading the computational demands of PoW to Mobile Edge Computing (MEC) servers emerges as a feasible solution. This scenario has prompted us to conceptualize the computational resource management in blockchain consensus as a two-layered resource game, aimed at optimizing both the profits of computing power providers and the utility for vehicles. In the Blockchain Market Layer subgame, we employ a game-theoretic framework to analyze the interactions between MEC servers and vehicles within a PoW-based blockchain network. To optimize the system utility, we introduce a centralized evolutionary game-based pool selection algorithm. Simultaneously, in the Edge Cloud Network Layer subgame, a reverse auction algorithm is implemented to align the computing power supply with the demand within the blockchain market. Here, the cloud data center functions as the seller of computing power, while the edge servers aggregate the computing demand from IoV devices. A broker is then tasked with the allocation and pricing of computing resources, in accordance with the bids, ensuring adherence to economic principles of authenticity and individual rationality. Simulation results demonstrate that our mechanism enhances system efficiency while ensuring revenue, thereby enabling an effective distribution of computing resources between vehicles and cloud data centers.
The penetration of electric vehicles (EVs) in the energy market has become a immersive paradigm for facilitating greener environment by mitigating the disadvantages of the fossil-fuel vehicles. Nevertheless, it becomes critical for charging station (CS) to handle huge number of EVs further leading to the uncoordinated and inefficient charging. Moreover, none of the authors have considered the possible EV charging scenarios for allocation at the CS. Thus, we have designed an Ethereum blockchain-based decentralized application for EV charging at the CS along with the energy trading between prosumer and consumer EVs. Further, we have formulated charging scenarios based on the energy demand and type of EV (emergency and high authority). We have deployed the smart contract in Remix Integrated Development Environment (IDE) and further built a decentralized application using Web3 to made charging allocation accessible to the EVs. Finally, the simulation results of the proposed smart contract for the application is evaluated in terms of gas consumption and cost analysis with the help of deployed smart contract in the Remix IDE.