The prediction of taxi demand service has become a recently attractive area of research along with large-scale and potential applications in the intelligent transportation system. The demand process is divided into two main parts: Picking-up and dropping-off demand based on passenger habit. Taxi demand prediction is a great concept for drivers and passengers, and is designed platforms for ride-hailing and municipal managers. The majority of research has focused on forecasting the pick-up part of demand service and specifying the interconnection of spatial and temporal correlations. In this study, the main focus is to overcome the access point of non-registered users for having fake transactions using taxi services and predicting taxi demand pick-up and drop-off information. The integration of machine learning techniques and blockchain framework is considered a possible solution for this problem. The blockchain technique was selected as an effective technique for protecting and controlling the real-time system. Historical data analysis was processed by extracting the three higher related sections for the intervening time, namely closeness and trend. Next, the pick-up and drop-off taxi prediction task was processed based on constructing the components of multi-task learning and spatiotemporal feature extraction. The combination of feature embedding performance and Long Short-Term Memory (LSTM) obtain the pick-up and drop-off correlation by fusing the historical data spatiotemporal features. Finally, the taxi demand pick-up and drop-off prediction were processed based on the combination of the external factors. The experimental result is based on a real dataset in Jeju Island, South Korea, to show the proposed system's efficacy and performance compared with other state-of-art models.
Ella Tallyn, Joe Revans, Evan Morgan, Keith Fisken · 5 authors
Smart contract systems could change the nature of last-mile delivery for the better through enhanced precision, coordination and accountability. However, technological complexity poses a challenge for end-users participating in the design process, making it hard to explore their experiences and incorporate their perspectives. We describe a case study where technological prototypes create smart contract experiences for professional couriers and receptionists, allowing them to speculate about emerging possibilities, whilst remaining grounded in their current practices. Participants enacted a series of deliveries, choreographed by smart contracts, and their responses were explored in post-experience, one-to-one interviews. Working with professionals to explore the potential impact of smart contract technologies, revealed the systemic webs of value underlying their existing work practices. This has implications for design of such technologies, in which increased automation, efficiency and accountability must be delicately balanced with the benefits of sustaining personal values, relationships and agency.
The idea of sharing economy gives rise to unique ideas and develops innovative businesses. This article aims to relate the smart city concept by introducing the smart transport system and explores the opportunities of adopting blockchain technology in ride-sharing services. Blockchain technology is a distributed, decentralized public ledger that allows peer-to-peer transactions in a secured way without any third party. This paper proposes a blockchain-based framework from the existing centralized framework for a ride-sharing service and implements the same as a decentralized application (DApp) based on smart contracts on Ethereum Blockchain. Using smart contracts facilitate the users with automated transactions, removes the intermediaries, and enables various activities to be carried out safely and securely. Implementation of smart contracts is done using the Solidity programming language. This DApp uses the min matching algorithm to match riders requesting rideshare to save total travel distance. With the overwhelming growth in the usage of cryptocurrencies, smart contracts usage in applications as proposed in this paper can transform the sharing economy.
Muhammad Firdaus, Sandi Rahmadika, Kyung-Hyune Rhee
The emergence of the Internet of Vehicles (IoV) aims to facilitate the next generation of intelligent transportation system (ITS) applications by combining smart vehicles and the internet to improve traffic safety and efficiency. On the other hand, mobile edge computing (MEC) technology provides enormous storage resources with powerful computing on the edge networks. Hence, the idea of IoV edge computing (IoVEC) networks has grown to be an assuring paradigm with various opportunities to advance massive data storage, data sharing, and computing processing close to vehicles. However, the participant's vehicle may be unwilling to share their data since the data-sharing system still relies on a centralized server approach with the potential risk of data leakage and privacy security. In addition, vehicles have difficulty evaluating the credibility of the messages they received because of untrusted environments. To address these challenges, we propose consortium blockchain and smart contracts to accomplish a decentralized trusted data sharing management system in IoVEC. This system allows vehicles to validate the credibility of messages from their neighboring by generating a reputation rating. Moreover, the incentive mechanism is utilized to trigger the vehicles to store and share their data honestly; thus, they will obtain certain rewards from the system. Simulation results substantially display an efficient network performance along with forming an appropriate incentive model to reach a decentralized trusted data sharing management of IoVEC networks.
Current developments in information technology and increased inclination towards smart cities have led to the initiation of a plethora of features by technology-oriented companies (i.e., car manufacturers) to improve users’ privacy and comfort. The invention of smart vehicle technology paved the way for the excessive use of machine-to-machine technologies. Moreover, third-party sharing of financial services are also introduced that support machine-to-machine (M2M) communication. These monetary systems’ prime focus is on improving reliability and security; however, they overlook aspects like behaviors and users’ need. For instance, people often hand over their bank cards or share their credentials with their colleagues to withdraw money on their behalf. Such behaviors may originate issues about privacy and security that can have severe losses for the card owner. This paper presents a novel blockchain-based strategy for payment of fueling of smart cars without any human interaction while maintaining transparency, privacy, and trust. The proposed system is capable of data sharing among the users of the system while securing sensitive information. Moreover, we also provide a blockchain-based secure privacy-preserving strategy for payment of fueling among the fuel seller and buyer without human intervention. Furthermore, we have also analytically evaluated several experiments to determine the proposed blockchain platform’s usability and efficiency. Lastly, we harness Hyperledger Caliper to assess the proposed system’s performance in terms of transaction latency, transactions per second, and resource consumption.
Our paper focuses on the economic perspective of the Blockchain technology in economics and business in general and in agricultural business in particular.The field of the study is the European agri-food supply chain and related government politics (CAP, F2F, Green Deal) focused on the Czech Republic.Analysis of the agribusiness is conducted on an evaluating the existing data from the FADN CZ database and Eurostat database.Blockchain technology is evaluated through fundamental analysis of the context.Findings from this investigation were used in enhanced SWOT-analysis in the context of technological foresight.This method examines both the existing situation, external factors and forces, as well as possible changes in the future.Our results confirmed that Blockchain technology has big opportunities in agricultural business and agri-food supply chain in the digital economy.The group of issues that could be solved with Blockchain includes food traceability, support of new business models and direct sales models, rebalance the power in the food chain, etc.The key problem of the Czech agricultural business is inefficiency and low innovative activities.However, existing state support and positive trends show perspectives in this area.Although the Blockchain could bring benefits, there is a research gap related to financing the Blockchain implementation and cooperation between businesses and the authorities.
Pietro Ferraro, Lianna Zhao, Christopher King, Robert Shorten
This paper describes the use of Distributed Ledger Technologies as a mean to enforce social contracts and to orchestrate the behaviour of agents in a smart city environment. Specifically, we present a scheme to price personalised risk in sharing economy applications. We provide proofs for the convergence of the proposed stochastic system and we validate our approach through the use of extensive Monte Carlo simulations.
Jae Song, Eung Seon Kang, Hyeon Woo Shin, Ju Wook Jang
We implement a peer-to-peer (P2P) energy trading system between prosumers and consumers using a smart contract on Ethereum blockchain. The smart contract resides on a blockchain shared by participants and hence guarantees exact execution of trade and keeps immutable transaction records. It removes high cost and overheads needed against hacking or tampering in traditional server-based P2P energy trade systems. The salient features of our implementation include: 1. Dynamic pricing for automatic balancing of total supply and total demand within a microgrid, 2. prevention of double sale, 3. automatic and autonomous operation, 4. experiment on a testbed (Node.js and web3.js API to access Ethereum Virtual Machine on Raspberry Pis with MATLAB interface), and 5. simulation via personas (virtual consumers and prosumers generated from benchmark). Detailed description of our implementation is provided along with state diagrams and core procedures.
Cong T. Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Yong Xiao · 7 authors
In this article, we propose FedChain, a novel framework for federated-blockchain systems, to enable effective transferring of tokens between different blockchain networks. Particularly, we first introduce a federated-blockchain system together with a cross-chain transfer protocol to facilitate the secure and decentralized transfer of tokens between chains. We then develop a novel PoS-based consensus mechanism for FedChain, which can satisfy strict security requirements, prevent various blockchain-specific attacks, and achieve a more desirable performance compared to those of other existing consensus mechanisms. Moreover, a Stackelberg game model is developed to examine and address the problem of centralization in the FedChain system. Furthermore, the game model can enhance the security and performance of FedChain. By analyzing interactions between the stakeholders and chain operators, we can prove the uniqueness of the Stackelberg equilibrium and find the exact formula for this equilibrium. These results are especially important for the stakeholders to determine their best investment strategies and for the chain operators to design the optimal policy to maximize their benefits and security protection for FedChain. Simulations results then clearly show that the FedChain framework can help stakeholders to maximize their profits and the chain operators to design appropriate parameters to enhance FedChain's security and performance.
Passing through a rural area with a limited network infrastructure may disrupt fog computing support for vehicles. As a result, some applications on vehicles may turn off and bother the performance of the vehicular systems. In order to escape from this kind of situation, vehicular fog computing is discussed in recent times as an alternative of fog computing support while passing through a blank spot of network infrastructure. However, it is not feasible to establish a trusted vehicular fog computing service among vehicles without mutual trust. To deal with this situation, this paper proposes a method called Bidding-Price-based Transaction (BPT) for vehicular fog computing service in rural areas. This method is composed of bidding-price-based mutual trust establishment between client vehicle and server vehicle and also payoff assignment based on transaction evaluation. By applying this method, trusted fog computing service transactions between two vehicles can be achieved without the direct assistance of any trusted third party as a validating entity. The simulation results and feasibility analysis then validate the performance of the BPT scheme in rural areas. Based on feasibility analysis, we claim that the BPT scheme can be realized by adjusting vehicle speed and transmission range with respect to the size of offloaded data.
Dominic Pirker, Thomas Fischer, H. Witschnig, Christian Steger
Transportation of people and goods is important and crucial in the context of smart cities. The trend in regard of people's mobility is moving from privately owned vehicles towards shared mobility. This trend is even stronger in urban areas, where space for parking is limited, and the mobility is supported by the public transport system, which lowers the need for private vehicles. Several challenges and barriers of currently available solutions retard a massive growth of this mobility option, such as the trust problem, data monopolism, or intermediary costs. Decentralizing mobility management is a promising approach to solve the current problems of the mobility market, allowing to move towards a more usable internet of mobility and smart transportation. Leveraging blockchain technology allows to cut intermediary costs, by utilizing smart contracts. Important in this ecosystem is the proof of identity of participants in the blockchain network. To proof the possession of the claimed identity, the private key corresponding to the wallet address is utilized, and therefore essential to protect. In this paper, a blockchain-based shared mobility platform is proposed and a proof-of-concept is shown. First, current problems and state-of-the-art systems are analyzed. Then, a decentralized concept is built based on ERC-721 tokens, implemented in a smart contract, and augmented with a Hardware Security Module (HSM) to protect the confidential key material. Finally, the system is evaluated and compared against state-of-the-art solutions.
Blockchain technology has been used in finance, health care, supply chain, and transport, with the main goals of improving security and eliminating the need for a third party to manage transactions in the system. In blockchain, smart contracts are used to facilitate negotiation between stakeholders. The sharing economy movement has gained popularity in recent years in various sectors including transport. Ride-sharing has become an important component of sustainable transportation by increasing vehicle utilisation and reducing the number of vehicles on the road. Current ride-sharing systems are centralised with an intermediary maintaining users' data and managing transactions between drivers and passengers. This paper proposes the use of blockchain and in particular smart contracts, to develop decentralised ride-sharing systems. The benefits of having a distributed approach to maintaining users' data and managing transactions between users include more automation, more transparency, better data privacy, and possibly more trust between users.
The purpose of the paper is to determine and examine, to what extent blockchain scenarios for the shipping industry have practical explication from maritime ports’ perspective and how these are sync with ports’ long-term development strategies, particularly in Denmark. The present study involved qualitative interviews with representatives of the biggest maritime ports of Denmark, varied by location, volumes, operations and cargo type. Data saturation is achieved through several rounds of in-depth semi-structured interviews. Results showed uncertainties in the long-term investment strategy of the considered ports. While focused on land expansion and operation development, the port authorities lack inner-port coordination with related enterprises, which consequently affects overall efficiency. While the development strategy appears to be identical among the port authorities, it varies significantly within specific blockchain scenarios and port’s strategy regarding short-term port optimization. Besides, the role of port authority was debated. Authorities are willing to be more involved in supply chain operations as a consultancy rather than just a controlling party, yet are burden by the state restrictions. Unlike generally-discussed blockchain compatibility studies, the current research contributes by revealing core business uncertainties within port area development and communication. Moreover, the case could serve as a representation of small- to middle-size ports in the EU.
To deal with a series of settlement problems such as the insufficient security for the user’s transaction, the complex process of settlement and the difficulty in data analysis within the sharing mode of the electric vehicles’ private piles, this paper proposed a new settlement mode for the shared private piles of electric vehicles. This mode took the shared charging network of the vehicle networking and the pile networking as the background, built a decentralized energy block chain, optimized the structure of the settlement mode by using distributed ledger technology, and used the intelligent contract algorithm to improve the settlement efficiency of charging orders. At the same time, this mode considered the transaction records and subsequent data analysis in its design, and used the evidence-storage and traceability technology to facilitate the integration of charging information data and to realize the configuration optimization of charging network.
Abstract Vehicle automation is one of the main applications of industry 4.0 especially for tourism companies who provide their vehicles to migrants for traveling purposes. It is difficult to maintain trust among the travel agency and the customers. Although there are many existing solutions in the research that addresses the trust issues, but most of the solutions are based on centralized architecture such as cloud computing where the data is prone to various security threats. Motivated by the aforementioned discussion, the authors have proposed a vehicle tracking system based on the integration of blockchain and IoT in this paper. The proposed system will increase the trust among the entities by providing them transparency in tracking details of the vehicle. As the trip details are immutable and decentralized in nature, so, blockchain is used to store the details. Also, the system will generate the trip summary that contains the route detail, the number of kilometres travelled and the total cost of the trip. Tools such as Ethereum, Remix IDE, MetaMask, and RinkeyBy have been used to measure the performance of the system.
Mohammad Saidur Rahman, Ibrahim Khalil, Mohammed Atiquzzaman
Drones, or unmanned aerial vehicles, can be used for commercial services such as short-distance delivery. In order to ensure quality services, multiple drone-based delivery service providers can be employed in delivery service systems. In this article, we address two very important and unexplored challenges of employing drones in delivery services. First, involving multiple drones from different service providers elevates the chance of collision during flights. Second, drones may hamper the privacy of citizens by unauthorized access to private and restricted areas. In order to solve the aforementioned issues, we propose a blockchain-based policy enforcement mechanism in the drone-based delivery service systems. At first, the mechanism will set policies to establish pre-allocated flight paths for different drones at different times to avoid collisions, and ensure the privacy of citizens by restricting their access to unauthorized areas. Later, the blockchain will enforce the policies to monitor compliance of the drone flights and identify non-compliant drone services to penalize corresponding service providers. We simulate a virtual drone-based delivery system with the Ethereum blockchain platform and examine the performance and feasibility of our proposed mechanism.
For several years now, blockchains and distributed ledger technologies (DLTs) have enjoyed widespread interest in their applicability in various use cases in the energy sector and beyond. However, this rapid growth has also raised concerns about the cryptocurrency’s massive energy consumption, not yet accounting for the energy needs of other DLTs. Electronic waste has also been a recent issue with specialized computers entering the market for Bitcoin mining that have no further use after being replaced by newer models. While exact data on the environmental impact of DLT solutions is not yet available and promising technological developments might solve some of the energy-related problems, a closer look at sustainability criteria as core design principles for DLT solutions is needed. This article offers a heuristic approach that helps to evaluate DLT projects regarding their environmental externalities and assists in moving away from energy-intensive DLT design practices.
Ecumenical carbon dioxide (CO2) emission emanates from car, bus, taxi, and motorcycle is around 45%. Electric vehicle could be the major contributor to abbreviate the pollution level in a transportation sector. According to the Forbes report the ecumenical passenger electric vehicle demand expected to reach 15% in 2025, and 23% in 2030. This research provides a blockchain predicated solution for a pre-owned electric vehicle market that could engender a trust, transparency, immutable records, and an efficient way to track the entire life cycle of a futuristic electric vehicle supply chain. At present most of the pre-owned electric conveyance purchase transpires through the third-party accommodations, websites, and mobile applications. This does not provide the authentic information on electric conveyance history, charging capabilities of the battery, history of the charging records, and performance of the driver (wear and tear affect battery life). Our solution implemented utilizing hybrid blockchain technology. Each stakeholder assigned with the Ethereum blockchain address to track the vehicle records as a distributed ledger. This design considered electric vehicle manufacturer, charging station, battery manufacturer, road convey ascendancy as major stakeholders. Astute contract designed with solidity programming. Truffle platform used to deploy keenly intellective contract in private blockchain that ascertain the privacy of electric conveyance owners and other stakeholders. Meta mask a mobile application utilized kovan network for tracking vehicle in a public blockchain. This application tested with 0.1 Ether for each transaction. Blockchain Electric Vehicle Cloud of Things (BEVCoT) concept proposed to integrate the IoT-Blockchain application in a cloud environment.
Saurabh Jain, Neelu Jyothi Ahuja, P. Srikanth, Kishor V. Bhadane · 7 authors
Blockchain is an underlying technology for securing many real-time applications and their data. The automobile is one such sector in which auto-manufacturers are looking forward to accepting the advantages of distributed ledger technology in autonomous vehicles or systems and improving their products, customer satisfaction, and other valuable experiences. This work aims to find the significance of blockchain technology in Autonomous Vehicles, including Autonomous Electric Vehicles (AEV), Autonomous Underwater Vehicles (AUV), Autonomous Guided Vehicles (AGV), Autonomous Aerial Vehicles (AAeV), and Autonomous Driving. In this work, a comparative analysis of blockchain-integrated autonomous vehicle systems is explored to identify the present scenario and futuristic challenges. In addition to blockchain technology, the uses and importance of sensors, architectures and infrastructure requirements, vehicle types, driving modes, vehicles target and tracking approaches, intelligent contracts, intelligent data handling, and industry-specific use cases are also explored. This study is based on the exploration of recent technologies and practices. As autonomous vehicles are expected to be the future of intelligent transportation, this paper surveys recent advances in autonomous vehicles and systems and how blockchain can help in improving user experiences and improving industry practices. Finally, limitations of work, future research directions, and challenges associated with different autonomous vehicles and systems are presented.
A way to enable full decentralisation in our P2P- oriented economy are ‘Smart Contracts’,a term coined by Nick Szabo.<br> These smart contracts enforce a set ofpredefined rules which are coded as logic to orchestrate agreement between different entities. .The current implementation makes the use of smart contracts deployed on the Ethereum blockchain that provides full-fledged car sharing functionalities along with various countermeasures to tackle malicious behaviour.
Smart mobility and transportation, in general, are significant elements of smart cities, which account for more than 25% of the total energy consumption related to smart cities. Smart transportation has seven essential sections: leisure, private, public, business, freight, product distribution, and special transport. From the management point of view, transportation can be classified as passive or non-cooperating, semi-active or simple cooperating, active or cooperating, contract-based, and priority transportation. This approach can be applied to public transport and even to passengers of public transport. The transportation system can be widely observed, analyzed, and managed using an extensive distribution network of sensors and actuators integrated into an Internet of Things (IoT) system. The paper briefly discusses the benefits that the IoT can offer for smart city transportation management. It deals with the use of a hierarchical approach to total transportation management, namely, defines the concept, methodology, and required sub-model developments, which describes the total system optimization problems; gives the possible system and methodology of the total transportation management; and demonstrates the required sub-model developments by examples of car-following models, formation motion, obstacle avoidances, and the total management system implementation. It also introduces a preliminary evaluation of the proposed concept relative to the existing systems.
The Distributed Ledger Technology (DLT) is a peer-to-peer model of sharing data among collaborating parties in a decentralized manner. An example of DLT is a blockchain where data form blocks in an append-only chain. Software architecture description usually comprises multiple views. The paper concentrates on the Deployment view of the DLT solution within the 1+5 architectural views model. The authors have proposed Unified Modeling Language (UML) extensibility mechanisms to describe the needed additional semantic notation to model deployment details. The paper covers both the network and node levels. The proposed stereotypes and tagged values have enriched UML Deployment diagram. We have gathered those modeling elements in dedicated UML Profile for Distributed Ledger Deployment. We have applied the profile to model Deployment view of a renewable energy management system that uses R3 Corda framework. The system records information about inbound and outbound energy to/from renewable energy grid.
Many countries in Europe are adopting a deregulated system where prosumers can subscribe with any energy supplier in an open market, independently of location. However, the mobility aspect of transactions in the existing system is not satisfactorily covered. For instance, if a person receives the service of charging an EV from a prosumer's local outlet, he cannot pay to the prosumer directly without the presence of an intermediary system. This has led to a situation where the EV owners need to have a large number of subscriptions for EV charging providers and visitors cannot pay for the electricity used there. This study evaluates this mobility gap and proposes a solution for charging transactions using blockchain technology. Furthermore, we implement a proof of concept using the Hyperledger consortium platform for the technical feasibility of the proposed approach and evaluate the performance metrics such as transaction latency and throughput.