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Sustainable Blockchain Applications in Intelligent Transportation and Logistics Management

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: closed (30 December 2023) | Viewed by 4920

Special Issue Editors


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Guest Editor
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China
Interests: internet of vehicles; machine learning; security and privacy
Special Issues, Collections and Topics in MDPI journals
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China
Interests: internet of vehicles; edge computing; vehicle security
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Blockchain is a distributed ledger which enables participants to establish a consensus on the record of transactions. Blockchain guarantees the fidelity and security of data records and generates trust with no need for a trusted third party. Therefore, it has become one of the most promising technologies in various industries, especially in the intelligent transportation and logistics management areas. With a shared digital ledger that records transactions, Blockchain can realize real-time information interactions, thus improving the efficiency and security of logistics operations. However, we are still in the early stages of unlocking the true potential of Blockchain technology in intelligent transportation and logistics management. There are many challenges that need to be addressed for Blockchain’s practical application. These challenges includes scalability, privacy, interoperability, efficiency, energy consumption and other issues.

This Special Issue seeks original, unpublished papers presenting proposals for sustainable Blockchain applications in intelligent transportation and logistics management. Authors are encouraged to submit articles that include existing problems/challenges and suggestions as to how they can be resolved. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Blockchain applications in intelligent transportation/logistics management.
  • Advantages and challenges of applying Blockchain intelligent transportation/logistics management.
  • Privacy protection in Blockchain-based intelligent transportation/logistics management areas.
  • Energy efficiency improvement in Blockchain-based intelligent transportation/logistics management areas.
  • Blockchain integration with other technologies (e.g., artificial intelligence, big data analytics, Internet of things, edge computing, etc.).
  • Blockchain architectures, protocols, algorithms, and consensus mechanisms for intelligent transportation/logistics management.

Prof. Dr. Zhaolong Ning
Dr. Weijing Qi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • blockchain
  • intelligent transportation
  • logistics management
  • privacy protection
  • energy efficiency

Published Papers (4 papers)

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Research

25 pages, 1691 KiB  
Article
A Blockchain-Based Multi-Unmanned Aerial Vehicle Task Processing System for Situation Awareness and Real-Time Decision
by Ziqiang Chen, Xuanrui Xiong, Wei Wang, Yulong Xiao and Osama Alfarraj
Sustainability 2023, 15(18), 13790; https://doi.org/10.3390/su151813790 - 15 Sep 2023
Viewed by 1137
Abstract
With the rapid advancement of Unmanned Aerial Vehicle (UAV) technology, UAV swarms are being extensively applied in various fields, such as intelligent transportation, search and rescue, logistics delivery, and aerial mapping. However, the utilization of UAV swarms in sustainable transportation also presents some [...] Read more.
With the rapid advancement of Unmanned Aerial Vehicle (UAV) technology, UAV swarms are being extensively applied in various fields, such as intelligent transportation, search and rescue, logistics delivery, and aerial mapping. However, the utilization of UAV swarms in sustainable transportation also presents some challenges, such as inefficient task allocation and data transmission security issues, highlighting the importance of privacy protection in this context. To address these issues, this study applies blockchain technology to multi-UAV tasks and proposes a blockchain-based multi-UAV task processing system for situation awareness and real-time decisions. The primary objective of this system is to enhance the efficiency of UAV swarm task scheduling, bolster data transmission security, and address privacy protection concerns. Utilizing the highly secure features of blockchain technology, the system constructs a distributed task processing network. System tasks are stored in the blockchain through smart contracts, ensuring the immutability and verifiability of task information. Smart contracts have an automatic execution capability, whereby the system can efficiently coordinate tasks and maintain the consistency of task execution information through consensus mechanisms. Additionally, adopting the Pointer Network structure for intelligent path planning based on task allocation results leads to the attainment of the shortest service routes, consequently expanding the service coverage of sustainable transportation systems while reducing energy consumption. This further advances the realization of urban sustainable transportation. Through experimental results, we verify that the proposed system enables real-time task scheduling and collaborative processing for multiple UAVs, significantly enhancing the efficiency, security, and privacy protection level of UAV swarm task execution in the context of sustainable transportation. It makes a positive contribution to building more sustainable urban transportation systems. Full article
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22 pages, 12188 KiB  
Article
A Reliable Delivery Logistics System Based on the Collaboration of UAVs and Vehicles
by Hanxue Li, Shuaiqi Zhu, Amr Tolba, Ziyi Liu and Wu Wen
Sustainability 2023, 15(17), 12720; https://doi.org/10.3390/su151712720 - 22 Aug 2023
Cited by 2 | Viewed by 1215
Abstract
In recent years, land–air collaborative logistics delivery is a promising distribution method. It combines the flexibility of unmanned aerial vehicles (UAVs) with the high payload capacity of vehicles, expanding the service range of UAVs while reducing carbon emissions. However, most existing research has [...] Read more.
In recent years, land–air collaborative logistics delivery is a promising distribution method. It combines the flexibility of unmanned aerial vehicles (UAVs) with the high payload capacity of vehicles, expanding the service range of UAVs while reducing carbon emissions. However, most existing research has focused on path planning and resource allocation for either UAVs or vehicles alone. Therefore, to address the shortcomings of the current research, this paper proposes an intelligent land–air collaboration delivery algorithm for trajectory optimization and resource scheduling. Subsequently, this paper develops a land–air collaboration reliable delivery logistics distribution system, showcasing the driving routes of vehicles and UAVs. Meanwhile, the mode of UAV–vehicle collaboration not only saves operating costs compared to traditional logistics delivery but also achieves energy conservation and emission reduction goals. During the specific design and implementation process of this platform, blockchain technology is integrated into the logistics delivery service to ensure data security and prevent tampering, making the system more efficient and reliable. Finally, through testing and verification of the system’s functionalities, its completeness is demonstrated. Full article
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27 pages, 1415 KiB  
Article
A Blockchain-Based Shared Bus Service Scheduling and Management System
by Tengfei Li, Xuanrui Xiong, Guifeng Zheng, Ying Li and Amr Tolba
Sustainability 2023, 15(16), 12516; https://doi.org/10.3390/su151612516 - 17 Aug 2023
Cited by 1 | Viewed by 1193
Abstract
With the continuous development of urbanization, it has become an important issue to effectively alleviate urban road traffic congestion and improve traffic efficiency. By combining blockchain technology and shared buses, this paper builds an intelligent traffic-service scheduling management system based on blockchain. The [...] Read more.
With the continuous development of urbanization, it has become an important issue to effectively alleviate urban road traffic congestion and improve traffic efficiency. By combining blockchain technology and shared buses, this paper builds an intelligent traffic-service scheduling management system based on blockchain. The system effectively solves the core problems of shared buses, improves data security and privacy protection, realizes intelligent scheduling and route planning, and simplifies cross-organization cooperation and settlement processes. The research shows that the system can reduce the distance and number of buses, and improve the service quality and operation efficiency while ensuring the waiting time of passengers. The results of this paper verify the feasibility and advantages of the system, bring innovation and improvement to the field of traffic management, and promote the sustainable development of urban intelligent traffic management system. Future research could further explore the application of blockchain technology in traffic management to achieve more intelligent and sustainable urban traffic management. Full article
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16 pages, 5318 KiB  
Article
Blockchain with Quantum Mayfly Optimization-Based Clustering Scheme for Secure and Smart Transport Systems
by Hayam Alamro, Hamed Alqahtani, Fahad F. Alruwaili, Sumayh S. Aljameel and Mohammed Rizwanullah
Sustainability 2023, 15(15), 11782; https://doi.org/10.3390/su151511782 - 31 Jul 2023
Viewed by 763
Abstract
Blockchain (BC) with a clustering scheme can be used to build secure and smart Vehicular Ad-Hoc Networks (VANETs), which provide improved data integrity, enhanced security, efficient resource allocation, and streamlined processes. This technology has revolutionized the transport industry by enabling safer, more efficient, [...] Read more.
Blockchain (BC) with a clustering scheme can be used to build secure and smart Vehicular Ad-Hoc Networks (VANETs), which provide improved data integrity, enhanced security, efficient resource allocation, and streamlined processes. This technology has revolutionized the transport industry by enabling safer, more efficient, and transparent transportation networks. Therefore, this paper concentrates on the design of a new Blockchain with a Quantum Mayfly Optimization-based Clustering Scheme for Secure and Smart Transport Systems (BQMFO-CSSTS) technique. The objective of the presented BQMFO-CSSTS technique is to build a secure VANET via a BC-based technology and clustering process. Moreover, the BQMFO-CSSTS technique initially uses a Quantum Mayfly Optimization (QMFO) system with a fitness function for the selection of cluster heads (CHs) and the cluster construction process. In addition, BC technology is used as trust infrastructure to provide trustworthy services to the user and protect the privacy of the CHs and cluster members (CMs). The proposed scheme leverages the decentralized and immutable nature of BC to establish trust and ensure the integrity of cluster formation in VANETs. Finally, the BQMFO-CSSTS technique uses trajectory similarity metrics to protect the integrity of the CMs against attacks. The simulation results of the BQMFO-CSSTS technique are validated using a series of measures. The comprehensive results reported the superior outcomes of the BQMFO-CSSTS method over other recent approaches, with the maximum throughput being 1644.52 kbps. Therefore, integration of BC technology provides a transparent and secure framework through which to manage cluster membership, data sharing, and trust establishment among vehicles. Full article
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