Efficient management of vehicle fleets is nial for modern transportation networks, but old-fashioned centralized systems often face issues like data changes, lack of transparency, and inefficient processes. This paper presents a blockchain-based Fleet Management System that combines Distributed Ledger Technology with IoT devices to ensure secure, transparent, and tamper-proof operations. The system uses a multi-layered design that includes client, application, blockchain, consensus, and database layers, making it flexible and easy to expand. Smart contracts help automate tasks like checking drivers, planning vehicle maintenance, and handling payments, reducing the need for manual work and increasing accuracy. Real-time vehicle tracking using IoT sensors and GPS improves monitoring, while blockchain's ability to keep data unchanged builds trust and ensures reliability among all users. A comparison shows this system offers better reliability, lower costs, and more trust than traditional methods. The results show that using blockchain for fleet management provides a sustainable, efficient, and future-ready solution for smart transportation systems.
This paper presents the design and implementation of a blockchain-secured system for monitoring driver sobriety and real-time geolocation. The proposed platform integrates a Modular Sensor Battery (MSB) for detecting alcohol concentration in exhaled air, a centralized Data Collection Platform (DC Platform) for real-time data visualization and storage, and a complementary physiological monitoring device—the IoT Fit-Bit Smart Band (IFSB)—which captures heart rate and blood oxygen saturation as alternative indicators when breath-based sensing may be compromised. The MSB, the DC Platform, integration with the IoT FitBit Smart Band, and the blockchain-based data management architecture represent the authors’ direct contribution to both the conceptual design and technical implementation. These elements are introduced as part of a unified, fully integrated system designed to enable non-invasive sobriety monitoring and secure data integrity in vehicular contexts. To ensure data authenticity, a custom Ethereum smart contract stores cryptographic hashes of sensor readings, enabling decentralized, tamper-evident verification without exposing sensitive medical information. The system was validated in a controlled experimental environment, confirming its operational robustness and demonstrating its potential to improve road safety through secure, real-time sobriety detection and geolocation tracking.
<title>Abstract</title> The volume of automobiles on roadways keeps growing and crashes increase in frequency, managing traffic routes gets increasingly crucial. Real-time messages are delivered through wireless connections in Intelligent Transport Systems(ITS), although this might raise safety and confidentiality issues. Safety flaws, hefty data processing and transmission costs, and safety vulnerabilities plague current traffic route management ideas. With fog-based ITS's, a simple congestion routing management system was developed to overcome these problems. In this system, automobiles encrypted their travel courses using homomorphic encryption and transfer the secured data onto a fog node. Despite being aware of what specific path was taken by every automobile, Traffic Control Centre (TMC) decodes the received ciphertexts which have been collected by the fog node and manages congestion based on the decoded data. Additionally, the plan makes utilization of the blockchain system to maintain the vehicle's public key. This makes it possible to manage individual vehicle's public key securely and impenetrably, guaranteeing that only authorized cars may join the ITS. The idea was put into operation via the Rinkeby test network based on Ethereum to show that it is feasible. According to the results of the study, this aforementioned approach outperforms other pertinent representative schemes. This lightweight traffic route management system offers a safe and effective method for controlling travel routes in ITSs by utilizing homomorphic encryption and blockchain technology. By addressing the safety and confidentiality concerns raised by sending real-time communications via wireless methods, also lowers the computation and transmission costs of previous ideas. This approach has the potential to improve traffic safety and ease congestion in ITS's.
Hamza Farooq, Ayesha Altaf, Faiza Iqbal, Juan Castanedo Galán · 6 authors
Traffic accidents present significant risks to human life, leading to a high number of fatalities and injuries. According to the World Health Organization's 2022 worldwide status report on road safety, there were 27,582 deaths linked to traffic-related events, including 4448 fatalities at the collision scenes. Drunk driving is one of the leading causes contributing to the rising count of deadly accidents. Current methods to assess driver alcohol consumption are vulnerable to network risks, such as data corruption, identity theft, and man-in-the-middle attacks. In addition, these systems are subject to security restrictions that have been largely overlooked in earlier research focused on driver information. This study intends to develop a platform that combines the Internet of Things (IoT) with blockchain technology in order to address these concerns and improve the security of user data. In this work, we present a device- and blockchain-based dashboard solution for a centralized police monitoring account. The equipment is responsible for determining the driver's impairment level by monitoring the driver's blood alcohol concentration (BAC) and the stability of the vehicle. At predetermined times, integrated blockchain transactions are executed, transmitting data straight to the central police account. This eliminates the need for a central server, ensuring the immutability of data and the existence of blockchain transactions that are independent of any central authority. Our system delivers scalability, compatibility, and faster execution times by adopting this approach. Through comparative research, we have identified a significant increase in the need for security measures in relevant scenarios, highlighting the importance of our suggested model.
As technology continues to evolve, our society is becoming enriched with more intelligent devices that help us perform our daily activities more efficiently and effectively. One of the most significant technological advancements of our time is the Internet of Things (IoT), which interconnects various smart devices (such as smart mobiles, intelligent refrigerators, smartwatches, smart fire alarms, smart door locks, and many more) allowing them to communicate with each other and exchange data seamlessly. We now use IoT technology to carry out our daily activities, for example, transportation. In particular, the field of smart transportation has intrigued researchers due to its potential to revolutionize the way we move people and goods. IoT provides drivers in a smart city with many benefits, including traffic management, improved logistics, efficient parking systems, and enhanced safety measures. Smart transportation is the integration of all these benefits into applications for transportation systems. However, as a way of further improving the benefits provided by smart transportation, other technologies have been explored, such as machine learning, big data, and distributed ledgers. Some examples of their application are the optimization of routes, parking, street lighting, accident prevention, detection of abnormal traffic conditions, and maintenance of roads. In this paper, we aim to provide a detailed understanding of the developments in the applications mentioned earlier and examine current researches that base their applications on these sectors. We aim to conduct a self-contained review of the different technologies used in smart transportation today and their respective challenges. Our methodology encompassed identifying and screening articles on smart transportation technologies and its applications. To identify articles addressing our topic of review, we searched for articles in the four significant databases: IEEE Xplore, ACM Digital Library, Science Direct, and Springer. Consequently, we examined the communication mechanisms, architectures, and frameworks that enable these smart transportation applications and systems. We also explored the communication protocols enabling smart transportation, including Wi-Fi, Bluetooth, and cellular networks, and how they contribute to seamless data exchange. We delved into the different architectures and frameworks used in smart transportation, including cloud computing, edge computing, and fog computing. Lastly, we outlined current challenges in the smart transportation field and suggested potential future research directions. We will examine data privacy and security issues, network scalability, and interoperability between different IoT devices.
Vehicular adhoc networks (VANETs) are an interesting area of exploration among the intelligent transportation research community.Communication among vehicles with infrastructure units is an essential component.Thus, trust and privacy are important concerns in addition to dynamic topology, which is the main characteristic of VANETs.Ensuring the vehicles do not broadcast false information as well as protecting the identity of vehicles against tracking attacks are the objectives of this article.Here, a blockchain-based solution has been proposed to establish an identity-preserving trust model for VANETs.It preserves the real identities of vehicles with the utilization of Ethereum blockchain technology.A trust evaluation algorithm has been implemented to stop the dissemination of fraudulent messages.Validation of the algorithm has been conducted by running the algorithm in different VANET scenarios.
There are large numbers of vehicles in the populated country like India. It's a very common scenario that traffic police came across some vehicle random vehicle and had some doubt in mind but do not have in hand information about that vehicle and end up leaving that thought. Sometimes this may result in some disaster. With the advent of technology, there are mobile applications and web based systems are available to ease up the process by which traffic police can fine the vehicle owner or people can pay the fine online. But yet there is no system is available through which traffic police can get all the details about the particular vehicle. This motivated us to design and developed an application thorough which traffic police can get all the information right from owner of the vehicle to its RC book and insurance status on just one click. Looking at the chances of data tampering, we have also played an attention to the data security and used blockchain for creating distributed, robust and tempered proof system. In this paper we have discussed traffic police assistance system, which can scan the vehicle number plate, identify the number and provide the all the information and documents stored against that vehicle number. To address the issue of data security and alteration of sensitive data blockchain is used so that any alteration can be monitored. As the complete information process is dependent on how correctly the vehicle number is identified, so the number plate recognition module is tested thoroughly under various conditions. Finally user feedback is taken and analyzed to evaluate the feasibility and usability of the proposed application.
T Velmurugan, P. Prakasam, Noor Mohammed, K Saravanan
In city areas where people are more, managing garbage is in an inappropriate way leading to multiplying of germs that can cause illness. There is a difference in how frequently they use these litter bins in various regions. Periodic checking with timing gaps does not help. They may overflow at times even earlier than expected. To avoid this and to enhance the cleaning, a smart garbage monitoring method to find when the garbage can is full is proposed in this paper. The method’s design gathers such information as well as transmits it via a network of wireless type. In this proposed method, sensing of the dustbin’s trash level is done by sensors as well as information is transmitted to the official mobile station via GSM and GPS module. Online monitoring of the garbage level at control room is made using a WiFi Module. Arduino processor interfaces the system of sensors with the network modules. This data helps contracted cleaners as well as those who provide garbage cans, promptly empty to maintain the area spick and span..