Traceability in food supply chains is crucial for ensuring safety, enabling effective quality control, and maintaining consumer trust. However, traditional paper-based or digital tracking systems often prove too slow and opaque during food safety incidents or investigations into fraud. To address these limitations, this paper presents a modular Web3 architecture that integrates Ethereum blockchain smart contracts, Internet of Things (IoT) sensors, and machine learning (ML) to achieve end-to-end traceability and sustainability in agrifood supply chains, and to support auditable, partially automated decision-making. The system design separates concerns into layers: an on-chain layer of Ethereum smart contracts for tamper-proof event logging and automated business logic, and an off-chain layer for secure storage of detailed sensor data and documents, linked by crypto-graphic hashes to ensure data provenance. Low-cost IoT sensors are deployed from farm to distributor, continuously monitoring environmental conditions (temperature, humidity, geolocation) and uploading signed, time-stamped summaries to the blockchain. In addition, ML models perform predictive quality control by estimating expected conditions, detecting anomalies, and scoring the conformity of product batches, which enables smart contracts to automatically trigger state transitions (acceptance or dispute escrow of shipments) based on real-time data. Using Ethereum smart contracts, a prototype that manages the life cycle of a specific food product was implemented, and two cases (conformant vs non-conformant shipments) were studied to demonstrate how cryptographically verifiable data and events make decisions transparent and trustworthy.
Duc Tran, Filisia Melissari, Samuel Le Féon, Andreas Papadakis · 9 authors
• The blockchain traceability system caused inconsiderate environmental impacts. • Using blockchain system is profitable if consumers pay more for traceable products. • Blockchain-based traceability systems can be applied to different production scale. • Energy consumption for a mixed (private and public) blockchain is not high. The implementation of blockchain (BC) technology in food traceability has attracted the attention of both scholars and practitioners because this technology enhances transparency and efficiency. While previous studies have attempted to assess the technical performance of BC-based applications, comprehensive economic and environmental assessments of BC-based food traceability systems are lacking. This study performs a technical, environmental and economic assessment of BC-based food traceability using a private BC (Quorum) and a public BC (Ethereum). The case study is the production of protected designation of origin feta cheese in Greece. The proposed BC-based system was found to have insignificant environmental impacts when compared to the existing impacts of feta production. Furthermore, the implementation of BC-based food traceability was found to be profitable for dairy producers when consumers’ willingness to pay a price premium for BC-based traceable products is taken into account. Sensitivity analyses under different scaling-up scenarios, from a purely technical perspective (i.e. increase in transaction volume and frequency) to scaling production, emphasised the potential benefits of BC-based food traceability from a scalability perspective.
Rouwaida Abdallah, Robert Istrate, Óscar Ansótegui Adarve, García García Ruben · 14 authors
This document establishes a comprehensive framework for digital traceability in the critical raw materials (CRM) supply chain, focusing on secure, verifiable data management to ensure transparency, accountability, and sustainability. It outlines the implementation of a Digital Product Passport (DPP), leveraging blockchain, distributed ledger technologies (DLTs), and Life Cycle Assessment (LCA) to meet regulatory and industry standards. Key topics include CRM certification, environmental compliance, material fingerprinting, risk assessment using the P.A.S.T.A. methodology, and the creation of a unified Digital Materials Passport Data Model.
The transition from paper-based to digital records has significantly enhanced healthcare practices, including the management of farm animal health.Electronic Health Records (EHRs), referred to as Animal Medical Records (AMRs), are essential for improving clinical workflows, supporting evidence-based decisions, and advancing veterinary research.However, the adoption of digital records introduces challenges related to data security, quality, and interoperability.This paper explores the use of blockchain technology to address these challenges.We propose a blockchain-based system for managing AMRs that leverages Non-Fungible Tokens (NFTs) and smart contracts to ensure data integrity, transparency, and accessibility.The system is evaluated through a proof-of-concept deployment on four EVM-supported platforms: BNB Smart Chain, Celo, Fantom, and Polygon.Our findings indicate that blockchain technology can enhance the security and efficiency of managing electronic health records for farm animals.
Ensuring food security is crucial for maintaining food quality and enhancing consumer services by guaranteeing both safety and satisfaction. However, traditional methods to ensure food security are often susceptible to various forms of fraud and require significant processing overhead, making them inefficient for the evolving demands of modern food supply chains. To address these shortcomings, blockchain technology has emerged as a robust and efficient solution to enhance food security. This paper presents a novel lightweight blockchain-based signature mechanism designed for the rapid detection of food fraud. It also includes a domain-specific ontology to serve as a structured knowledge model, allowing systematic analysis and detection of different types of fraud within the food supply chain. This approach uses smart contracts built on lightweight blockchain technology to initiate and manage transactions related to food fraud. Then, semantic rules are applied to detect and identify fraudulent activities. Once fraud is detected, associated transactions are encrypted and tracked, ensuring visibility and traceability among consortium members. Experimental results based on large-scale transaction data demonstrated ~7.5× speed improvement over iterative search algorithms while maintaining high transaction traceability and significantly reducing storage costs.
This study introduces a system using Non-Fungible Tokens (NFTs) to track and report carbon emissions in supply chains accurately. It addresses the problem of double counting, which occurs when the same emissions are recorded multiple times due to product segmentation and integration. Our system uses blockchain technology to ensure NFTs are traceable and tamper-proof, enhancing data reliability. The system includes three types of NFTs: Parent NFTs (P-NFTs) for energy and raw material data, Child NFTs (C-NFTs) for manufacturing emissions, and Integration NFTs (I-NFTs) that compile the carbon footprint of final products. This method improves accurate emission tracking and transparency across the supply chain.
Adedamola Sobowale, Richard Okon, Godwin Nzeako, Stephane Jean Christophe Zouo · 7 authors
This review paper explores the efficacy of blockchain technology in enhancing product authenticity and traceability within supply chains. With the complexity of global supply chains increasing, the risk of counterfeit products and inefficiencies in tracking origins is escalating. This paper synthesizes existing literature to outline the current landscape of blockchain applications in supply chains, focusing on the decentralized and immutable capabilities of the technology that promise to revolutionize traditional practices. The core of the review involves a comprehensive analysis of documented implementations of blockchain in various industries, assessing their impact on enhancing transparency, reducing fraud, and improving overall supply chain integrity. We critically examine case studies and existing research to identify patterns of success and common challenges faced by organizations adopting blockchain solutions. Findings highlight that blockchain technology not only supports better traceability and authentication processes but also fosters a more transparent environment for transactions, significantly deterring the proliferation of counterfeit goods. Additionally, the review points out the technological and organizational hurdles in adopting blockchain, such as the need for standardization and the resistance to change in legacy systems. The paper concludes that blockchain technology holds substantial promise for addressing critical issues in supply chain management. However, achieving its full potential requires overcoming significant adoption challenges and fostering collaborative efforts for standardization across industries. This review calls for ongoing research into scalable blockchain applications and strategic partnerships to drive the technology's integration into mainstream supply chain operations.
The integration of blockchain technology in agricultural traceability has shown immense potential, yet its widespread adoption faces significant roadblocks. Using bulk product traceability as a foundational reference, this paper presents a comprehensive evaluation framework for Blockchain-based Agricultural Traceability. The framework accentuates product identification and data traceability across the supply chain, addressing traceability disconnections caused by bulk product blending. It dives into depth levels from adoption decision-making to system design, development, and deployment, emphasizing the critical aspects of traceability compliance and standardization. As a result, we identified the obstacles to adopting agricultural digital traceability and pave the pathway to traceability system deployment. We examined the barriers to implementing digital traceability of agricultural products, taking the Australian grain supply chain as an example. Our findings reveal that lack of standardization and participation barriers are the primary challenges in implementing digital traceability for agricultural products. Our paper offers insights and recommendations for researchers, industry practitioners, and business owners to overcome these challenges and enable digital traceability of agricultural products in global supply chains. • Proposes a novel evaluation framework tailored for Blockchain-based Agricultural Traceability (BAT). • Highlights critical traceability challenges caused by product blending and disconnections in agricultural bulk supply chains. • Identifies key barriers to BAT adoption, including lack of standardization, compliance, and participation hurdles. • Presents a pathway to adopting agricultural product traceability with key performance assessment points listed at each step.
The agricultural sector is a vital component of Bangladesh's economy, but its agri-food supply chain faces signifi-cant inefficiencies primarily due to the involvement of numerous intermediaries. This complexity not only reduces the profits for farmers but also affects the overall transparency and efficiency of the supply chain. This study aims to em-ploy blockchain technology to transform the traditional agri-food supply chain in Bangladesh, focusing on increasing transparency, enhancing efficiency, and improving profitability for farmers, thus potentially bolstering the entire agri-food ecosystem in the country. The research involves setting up a blockchain-based smart contract on the Ethereum Blockchain network. This approach guarantees that all transactions within the agri-food supply chain are transparent, traceable, and accountable. Additionally, the study develops a web application to facilitate user interaction with the smart contract, enhancing accessibility and usability. Performance analysis and testing of the implemented smart con-tract demonstrate its capability to handle a significant volume of transactions without compromising on performance. The solution effectively reduces the dependency on intermediaries, thereby increasing the profit margins for the farm-ers involved. The integration of blockchain technology in the agri-food supply chain has shown promising results in enhancing transparency and efficiency. It lays a solid foundation for future improvements and suggests a scalable model that could be applied to other sectors within the country to further enhance agricultural practices and economic growth.
Despite numerous use cases, enterprise-wide implementations of blockchains have seen limited success. This raises the question of when do firms adopt blockchains and do blockchains benefit supply chains. To answer this, we examine a dyadic supply chain consisting of a buyer and a supplier and analyze their traceability effort and pricing decisions. Our results show that the demand-side, supply-side and reputational factors influencing blockchain adoption are primarily complementary and in the absence of one of them, firms can still adopt blockchain. Furthermore, even in the absence of individual benefits for a supply chain partner, there exist conditions under which blockchain adoption benefits the supply chain that can incentivize players to join blockchain. Overall, we contribute by offering a framework that supply chain players can use to assess the likelihood of blockchain implementation success or failure and address the challenges pertaining to incentives and cost imbalances in blockchain implementation.
Ensuring the traceability of agricultural products is essential for quality control and food safety. Recent technological advances have provided new ways to enhance traceability systems. This study aims to use blockchain technology, centralized database and RFID tags to develop a secure agricultural product traceability system, retain the detailed information of agricultural products traceability, ensure that the summary information of agricultural products on the chain cannot be modified, and optimize the SM3 algorithm to effectively summarize the traceability data and improve the efficiency of the system. The aggregated data is time-stamped, recorded on the blockchain, and written into an RFID tag. The optimization of the SM3 algorithm improved the efficiency by 30% and reduced the execution time of 192-byte messages to 210µs. The system ensures accurate linking of traceability data through secure data retention and unalterable summaries on the blockchain. The integrated use of blockchain, centralized database and RFID technology, as well as the enhanced SM3 algorithm, allows the system to meet the standards for data accuracy and performance requirements in agricultural traceability applications.
The demand of the halal food products is increasing rapidly around the world. The consumption of halal food product is just not among the Muslims but also among non-Muslims, due to the purity of the halal food products. However, there are several challenges that are faced by the halal food consumers. The challenges raise a doubt among the halal food consumers about the authenticity of the product being halal. Therefore, a solution that can address these issues and can establish trust between consumers and producers. Blockchain technology can provide a distributed ledger of an immutable record of the information. Artificial intelligence supports developing a solution for pattern identification. The proposed research utilizes blockchain an artificial intelligence-based system for developing a system that ensure the authenticity of the halal food products by providing the traceability related to all the operations and processes of the supply chain and sourcing the raw material. The proposed system has been tested with a local supermarket. The results and tests of the developed solution seemed effective and the testers expressed interest in real-world implementation of the proposed system.
This study presents a blockchain-based traceability system designed specifically for the olive oil supply chain, addressing key challenges in transparency, quality assurance, and fraud prevention. The system integrates Internet of Things (IoT) technology with a decentralized blockchain framework to provide real-time monitoring of critical quality metrics. A practical web application, linked to the Ethereum blockchain, enables stakeholders to track each stage of the supply chain via tamper-proof records. Key functionalities include smart contracts that automate quality checks, ensuring data integrity and providing immediate verification of product authenticity. Initial user feedback highlights the system's potential to enhance transparency and reduce fraud risks in the olive oil market, supporting consumer trust and regulatory compliance. This approach offers a scalable solution adaptable to other high-value agricultural products, demonstrating the blockchain's transformative potential for secure and transparent food traceability.
The production of digital signatures with blockchain constitutes a prerequisite for the security of electronic agriculture applications (EAA), such as the Internet of Things (IoT). To prevent irresponsibility within the blockchain, attackers regularly attempt to manipulate or intercept data stored or sent via EAA-IoT. Additionally, cybersecurity has not received much attention recently because IoT applications are still relatively new. As a result, the protection of EAAs against security threats remains insufficient. Moreover, the security protocols used in contemporary research are still insufficient to thwart a wide range of threats. For these security issues, first, this study proposes a security system to combine consortium blockchain blocks with Edwards25519 (Ed25519) signatures to stop block data tampering in the IoT. Second, the proposed study leverages an artificial bee colonizer (ABC) approach to preserve the unpredictable nature of Ed25519 signatures while identifying the optimal solution and optimizing various complex challenges. Advanced deep learning (ADL) technology is used as a model to track and evaluate objects in the optimizer system. We tested our system in terms of security measures and performance overhead. Tests conducted on the proposed system have shown that it can prevent the most destructive applications, such as obfuscation, selfish mining, block blocking, block ignoring, blind blocking, and heuristic attacks, and that our system fends off these attacks through the use of the test of the Scyther tool. Additionally, the system measures performance parameters, including a scalability of 99.56%, an entropy of 60.99 Mbps, and a network throughput rate of 200,000.0 m/s, which reflects the acceptability of the proposed system over existing security systems.
Andrews Tang, Eric Tutu Tchao, Andrew Selasi Agbemenu, Eliel Keelson · 6 authors
This review paper delves into the global agricultural food supply chains through the lens of African perspectives, examining the role of blockchain and Internet of Things (IoT) technologies in transforming food traceability. It assesses the applicability and efficacy of these innovations in addressing critical issues such as food fraud, contamination, and systemic inefficiencies from an African viewpoint. By engaging in an in-depth analysis of relevant studies, this work dissects the technical, economic, legal, and operational facets of employing blockchain and IoT in the agri-food sector. The findings illuminate the transformative potential these technologies hold for enhancing food safety and transparency across supply chains. However, the review also brings to light significant hurdles related to scalability, cost-effectiveness, and regulatory frameworks that must be surmounted. Advocating for a context-sensitive application of blockchain and IoT, the paper highlights the importance of adapting these technologies to fit the diverse socio-economic and infrastructural realities prevalent in African countries. Offering valuable insights to stakeholders in agricultural technology and food safety, this comprehensive review outlines a roadmap for future research and strategic implementation efforts aimed at leveraging blockchain and IoT for the development of secure, sustainable food systems.
The agri-food system plays a critical role in meeting global food demand, with traceability and food safety becoming key priorities for producers and consumers. Consumer trust, influenced by perceptions of food safety, quality and origin, has been declining due to the complexity of the food supply chain. Blockchain technology (BCT) has emerged as a promising solution to increase transparency, ensure data immutability, and improve food safety and quality. This study employs a systematic literature review methodology to analyze consumer perceptions of BCT in the agri-food sector. Using the PRISMA method, articles from Scopus®, Web of Science®, and PubMed® were reviewed, focusing on publications from 2019 to 2023. A total of 34 relevant studies were identified and examined to determine the key factors influencing consumer acceptance of BCT-tracked foods. Results indicate that trust, ngness to pay, perception of traceability, perceived risk and perceived safety are critical variables influencing consumer perceptions of BCT. Trust in BCT is supported by its ability to ensure data integrity and transparency, which significantly influences consumer behavior and adoption intentions. Consumers' willingness to pay for BCT-tracked products is influenced by their awareness and understanding of the benefits of BCT in improving food safety. In addition, BCT's potential to reduce perceived risk and improve supply chain transparency further enhances consumer trust. In conclusion, promoting consumer confidence through transparent information provided by BCT is essential for its widespread adoption in the agri-food sector. In order to educate consumers about the benefits of BCT and promote greater acceptance, the study recommends targeted communication strategies. Future research should focus on real-world applications and consumer education to further validate the impact of BCT on improving food safety and trust.
Haya R. Hasan, Ahmad Musamih, Khaled Salah, Raja Jayaraman · 7 authors
Current conventional agricultural practices have exacerbated the depletion of soil, loss of biodiversity, and intensified the substantial challenges of food security including monoculture dependence, resource intensiveness, access and distribution issues. This has raised consumers awareness towards monitoring the resources of their food consumption. Nevertheless, greenwashing and deceptive food labels are prevalent leading to sales of items with misaligned labels, underpinning the need to authenticate, trace, and track the agricultural supply chain from the farm to shop. Consumers should be able to select fresh produce and verify its origin through a transparent, trustworthy, accountable, and reliable process. This paper introduces a blockchain-based solution that leverages intrinsic features of this innovative and disruptive technology to harness transparency, reliability, authenticity, and accountability within an agricultural supply chain. Additionally, our solution eliminates misleading food labels on fresh produce by enabling consumers to reliably trace and verify the origin and authenticity of the food source in a transparent manner. Through the integration of the Internet of Things (IoT), the well-being of the soil, air, and crops is consistently monitored. The sustainable solutions employed are transparent, aligning with the standards set by various sustainable food certifications and agencies, including organic, non-Genetically Modified Organisms (GMO), and Good Agricultural Practices (GAP). The paper presents detailed algorithms that represent the smart contract code, sequence diagrams along with testing results and security analysis. The smart contract code is made publicly available on GitHub.
Marios Vasileiou, Leonidas Sotirios Kyrgiakos, Christina Kleisiari, Paolo Prosperi · 10 authors
Abstract Within food Supply Chains (SCs), food products labeled through Geographical Indications (GIs) hold paramount importance as distinctive and culturally significant entities, ensuring the integrity and distinctiveness of regional specialties. By strictly regulating the geographic origin and production methods, the Protected Designation of Origin (PDO) not only guarantees the preservation of traditional practices but also safeguards the cultural legacy and identity of the regions where genuine PDO products are produced. However, the very mechanisms safeguarding PDO authenticity can be exploited within globalized food systems, creating opportunities for fraudulent activities and intentional or unintentional adulteration. This study specifically delves into the overarching realm of PDO SCs, using PDO Feta cheese as a prominent case study. Through an assessment of Feta cheese SC in Greece, encompassing the Delphi Technique with the amalgamation of the design stages of Hazard Analysis and Critical Control Points (HACCP), Vulnerabilities Assessment and Critical Control Point (VACCP), and Threat Assessment and Critical Control Point (TACCP) methodologies, the operations, vulnerabilities, and critical control points are scrutinized. The results indicate multifaceted vulnerabilities and Critical Control Points (CCPs) in the Feta cheese SC that need to be addressed and constitute a precursor for augmenting PDO SCs. Moreover, the utilization of Blockchain Technology (BT) exhibits intrinsic potential for enhancing the administration of supply chains with the potential to fundamentally transform data management practices and foster increased levels of trust among stakeholders.
The BlockSupply project is a pioneering initiative that seeks to redefine supply chain management by leveraging blockchain technology to ensure real-time monitoring of product movements and enhance transparency, security, and traceability. The software offers key functionalities such as creating a private blockchain network, integrating tracking sensors for real-time data collection, secure recording of product data, user authentication, authorization management, and alerts for abnormal events. It is developed using technologies like Web3.js, React.js, Solidity, Ganache, and GitHub, which are integrated into the project’s architecture to create an efficient and secure blockchain-based supply chain solution. Furthermore, the project’s impact is expected to be significant, contributing to scientific advancements in secure and efficient supply chain operations and reshaping the landscape of logistics traceability. As the software gains traction in real-world scenarios, its transformative influence on data reliability, security, and operational efficiency in supply chain research is poised to be showcased in publications. • Blockchain boosts real-time supply monitoring and security. • Utilizes Web3.js, React.js, and Solidity for robust system. • Mitigates fraud and errors in supply chain management. • Streamlines inventory via advanced tracking and sensors. • Open-source, enhances operational efficiency significantly.
Aslan Alwi, Nugroho Adi Sasongko, Suprapto Suprapto, Yaya Suryana · 5 authors
The utilization of blockchain technology in the fishing industry has been extensively studied and implemented to address issues such as illegal fishing and carbon emissions control. However, integrating blockchain with the vast amounts of data in the fishing supply chain poses significant challenges. Challenges include managing extensive data such as photos or videos for product traceability throughout their lifecycle, compounded by the growing complexity of cross-border trade and market expansion. Additionally, blockchain's storage capacity limitations present hurdles in fully accommodating and comprehensively storing detailed supply data from a complex and expanding supply chain. While solutions like the Interplanetary File System (IPFS) have been explored for large data storage on the blockchain, this paper proposes a directly integrated blockchain solution tailored for the challenges of fishing with big data. We introduce a novel big data design that preserves blockchain's anonymity and immutability features, addressing storage limitations while maintaining the architecture's purpose. Furthermore, our proposal integrates product supply chain traceability with carbon footprint tracking, enabling comprehensive assessment based on quality, sustainability, and carbon footprint criteria. Despite the proposed solution needing to be tested in real-life situations, we conducted rigorous testing through simulation, white-box evaluation, and complexity analysis. The results demonstrate the potential of our solution to address challenges faced in fisheries supply chains, providing valuable insights for future practical implementation and validation efforts.
Ricardo Morais, António Miguel Rosado da Cruz, Estrela Ferreira Cruz
Fresh food is difficult to preserve, especially because its characteristics can change, and its nutritional value may decrease. Therefore, from the consumer’s point of view, it would be very useful if, when buying fresh fruit or vegetables, they could know where it has been cultivated, when it was harvested and everything that has happened from its harvest until it reached the supermarket shelf. In other words, the consumer would like to have information about the traceability of the fruit or vegetables they intend to buy. This article presents a blockchain-based platform that allows institutions, consumers and business partners to track, back and forward, quality and sustainability information about all types of fresh fruits and vegetables.
Soraya González-Mendes, Sara Alonso‐Muñoz, Fernando E. García‐Muiña, Rocío González Sánchez
Purpose This paper aims to provide an overview of the application of blockchain to agri-food supply chains, including key issues and trends. It examines the state of the art and conceptual structure of the field and proposes an agenda to guide future research. Design/methodology/approach This article performs a bibliometric analysis using VOSviewer software on a sample of 205 articles from the WoS database to identify research trend topics. Findings The number of publications in this area has increased since 2020, which shows a growing research interest. The research hotspots are related to the integration of blockchain technology in the agri-food supply chain for traceability, coordination between all actors involved, transparency of operations and improvement of food safety. Furthermore, this is linked to sustainability and the achievement of the sustainable development gtoals (SDGs), while addressing key challenges in the implementation of blockchain-based technologies in the agri-food supply chain. Practical implications The application of blockchain in the agri-food supply chain may consider four key aspects. Firstly, the implementation of blockchain can improve the traceability of food products. Secondly, this technology supports sustainability issues and could avoid disruptions in the agri-food supply chain. Third, blockchain improves food quality and safety control throughout the supply chain. Fourthly, the findings show that regulation is needed to improve trust between stakeholders. Originality/value The paper provides a comprehensive overview of the blockchain phenomenon in the agri-food supply chain by optimising the search criteria. Moreover, it serves to bridge to future research by identifying gaps in the field.
Abdulrahman A. Alshdadi, Souad Kamel, Eesa Alsolami, Miltiadis D. Lytras · 5 authors
Cold supply chains are becoming more and more attractive due to the high demand induced by increased consumption. To fulfill standards and customers’ requirements regarding the conditions under which cold supply chain products (mainly foods and pharmaceuticals) are stored (in warehouses) and transported to the end-users, tracking those conditions is a necessity. To ensure a high level of visibility, fostering emerging technologies can improve the quality of service in supply chains in terms of delivery time, cost, and quality. In this paper, a global framework for monitoring the conditions of storage and transportation of cold products across the whole supply chain is designed and implemented practically. The proposed solution is built around low-cost and low-energy consumption devices such as sensors and microcontrollers which are connected to cloud storage to allow a high level of visibility in the supply chain allowing all parties, including the end-consumers, to follow the products during their transfer, providing a conceptual framework that monitors the performance on a real-time basis and enhances decision making. A prototype using an embedded temperature/humidity sensor, a tiny microcontroller equipped with a Wi-Fi connectivity device, and a mobile 4G/5G network is designed and implemented. The proposed system is connected to a cloud-storage platform continuously accessible by the main parties of the cold supply chain including the provider, the transporter, and the end-consumer. The proposed framework may be handled as a smart contract during which any party can assume its responsibility for the assurance of the best conditions of the supply chain operation. A small-scale real-life scenario conducted in Jeddah City, Saudi Arabia is introduced to show the feasibility of the proposed framework.