V2X Communication Technology Research Articles

Future-Proofing Road Safety: Adapting ISO 26262 for Advanced V2X Integration

This study investigates the integration of ISO 26262 with Vehicle-to-Everything (V2X) communication technologies. Emphasize the necessity of expanding this safety standard to include vehicle-to-infrastructure integration and addressing additional safety measures to accommodate current vehicles’ complex and rapidly evolving networks. The study uses an extensive review approach, which considers existing safety pro-tocols and a qualitative literature synthesis to evaluate current standards and anticipate future requirements from them. It also looks at developments in V2X communication technology while identifying gaps within the present scope of ISO 26262 concerning autonomous and connected cars. The findings indicate a significant improvement in road safety plus efficiency in traffic management by integrating ISO 26262 with V2X communication. Further, the research points out areas such as security lapses, real-time data processing deficiencies, interoperability hitches, and scalability limits. These findings call for amendments to current safety standards so that they can take care of those problems. Failure to include V2X into ISO 26262 may com-promise reliability altogether, hence posing a grave danger to future intelligent transportation systems (ITS)’s dependability. The research concludes that integrating them will help lower risks brought about by the dynamic nature of vehicles’ environment, thereby facilitating the establishment of globally solid and safe systems for communicating between vehicles.

Enhancing control disorder and implementing V2X-Based suppression methods for electric vehicle CO2 thermal management systems

In recent years, the development of electric vehicles (EVs) thermal management systems has underscored the crucial role in ensuring driving safety and optimizing driving range has become increasingly prominent. However, the inherent dynamic complexity of EV operation coupled with automatic control systems, can sometimes lead to unstable behavior, resulting in performance degradation and safety risks for compressors and batteries. To effectively address this issue, an evaluation was conducted on the dynamic control characteristics of an EV thermal management system utilizing CO2 as the refrigerant in this study. Through mathematical modeling and experimental analysis, the erratic nature of the dynamic thermal process was first identified. The underlying reasons were elucidated, focusing on system control characteristics and intrinsic mechanisms. It was found that control disorder could induce abnormal actions in thermal management system components like compressors and expansion valve, leading to significant performance decline and issues such as liquid carryover in compressor suction. Furthermore, specific control disorder regions of CO2 heat pumps for EVs were delineated, providing a framework for assessing the likelihood of system control disorder. Notably, control disorder was more likely to occur under conditions of low indoor air flow rate, high ambient temperature, and low supply air temperature. Given the widespread nature of this issue and the lack of suitable solutions, two control disorder suppression schemes were developed using V2X technology and validated through simulation. Results showed that adoption of V2X communication technology prevented an average of 70.1 % COP degradation, ensuring stability and safety of compressors and batteries under various operating conditions. The research provides useful information for exploring the dynamic characteristics of CO2 thermal management systems, offering a novel approach to enhance the system stability and efficiency.

Optimizing Hybrid V2X Communication: An Intelligent Technology Selection Algorithm Using 5G, C-V2X PC5 and DSRC

Cooperative communications advancements in Vehicular-to-Everything (V2X) are bolstering the autonomous driving paradigm. V2X nodes are connected through communication technology, such as a short-range communication mode (Dedicated Short Range Communication (DSRC) and Cellular-V2X) or a long-range communication mode (Uu). Conventional vehicular networks employ static wireless vehicular communication technology without considering the traffic load on any individual V2X communication technology and the traffic dynamics in the vicinity of the V2X node, and are hence inefficient. In this study, we investigate hybrid V2X communication and propose an autonomous and intelligent technology selection algorithm using a decision tree. The algorithm uses the information from the received Cooperative Intelligent Transport Systems (C-ITS) Cooperative Awareness Messages (CAMs) to collect statistics such as inter vehicular distance, one-way end-to-end latency and CAM density. These statistics are then used as input for the decision tree for selecting the appropriate technology (DSRC, C-V2X PC5 or 5G) for the subsequent scheduled C-ITS message transmission. The assessment of the intelligent hybrid V2X algorithm’s performance in our V2X test setup demonstrates enhancements in one-way end-to-end latency, reliability, and packet delivery rate when contrasted with the conventional utilization of static technology.

Research on speed predictive control system of intelligent connected vehicle based on V2X

To enhance the efficiency of urban road traffic and reduce waiting time at traffic lights, this paper proposes a V2X based speed prediction control method for intelligent connected vehicles. Firstly, this paper uses PreScan to build an intelligent network environment model based on V2X communication technology. Then, the traffic signal and target vehicle information transmitted by V2X are analyzed and processed, leading to the design of an intelligent connected vehicle speed prediction control system. Finally, comparative experiments were conducted using HIL between the conventional vehicle speed decision control system and the V2X-based intelligent connected vehicle speed prediction control system under various operating conditions. The experimental results demonstrate that the proposed speed prediction control system can reduce waiting time for traffic lights and enhance road traffic efficiency. Therefore, this paper’s designed speed prediction control system is both effective and feasible, providing a reference for future research on intelligent connected vehicle speed decision control.

Joint Air-Ground Distributed Federated Learning for Intelligent Transportation Systems

Supported by some of the major revolutionary technologies, such as Internet of Vehicles (IoVs), Edge Computing, and Machine Learning (ML), the traditional Vehicular Networks (VNs) are changing drastically and converging rapidly into one of the most complex, highly intelligent, and advanced networking systems, mostly known as Intelligent Transportation System (ITS). Recently, distributed ML techniques, such as Federated Learning (FL) have gained huge popularity mainly for their advantages in terms of intelligence sharing and privacy concerns. VNs are a natural contender for exploiting FL for solving challenging problems; however, their limited resources, dynamic nature, high speed, and reduced latency requirements often become the bottleneck. V2X communication technologies allow vehicular terminals (VTs) to share their valuable local environment parameters and become aware of their surroundings. Such information can be utilized to build a more sustainable and affordable FL platform for serving VTs. Gaining from recently introduced 3D architectures, integrating terrestrial and aerial edge computing layers, we present here a distributed FL platform able to distribute the FL process on a 3D fashion while reducing the overall communication cost for providing vehicular services. The framework is defined as a constrained optimization problem for reducing the overall FL process cost through a proper network selection between various nodes. We have modeled the FL network selection problem as a sequential decision-making process through a Markov Decision Process (MDP) with time-dependent state transition probabilities. A computation-efficient value iteration algorithm is adapted for solving the MDP. Comparison with various benchmark methods shows the overall improvement in terms of latency, energy, and FL performance.

A Declarative Application Framework for Evaluating Advanced V2X-Based ADAS Solutions

Application of Vehicular Ad Hoc Networks (VANETs) aims to help in the solution of some problems that have arisen in road transportation systems via short-range, low-latency mobile communication. The application of V2X (Vehicle-to-Everything) communication technologies to the next generation of Advanced Driver Assistance Systems (ADAS) is essential to the extension of the operational design domain (ODD) of the systems to provide safe, secure, and efficient automated driving solutions. Due to the safety-critical nature of the problem, the large-scale testing of V2X enabled ADAS solutions to evaluate and measure the anticipated quality and functionality of the experimental system is of great significance. This article proposes a novel ADAS application prototyping framework, using declarative programming, built on top of the popular Artery/OMNeT++ simulator. The framework is capable of simulating V2X-enabled ADAS applications using accurate network simulation and realistic simulated traffic on real-world maps. The solution features XML descriptions for application specification. The sensor model of Artery is used to provide information to applications. By using the simulator, one can conclude the performance of the applications and discover locations, circumstances and design patterns, where design limits should apply.

Incentive-based cooperative traffic management: A state-of-the-art review

The DIT4TraM project capitalises on the concepts of swarm intelligence and mechanism design. One of its use-cases focuses on developing incentive-based traffic management approaches for local bottlenecks to nudge users towards the system-optimal behaviour, in the context of novel technological settings. This means that a traffic control problem has to be solved considering the technological setting, and that appropriate incentives for each driver need to be determined to ensure maximal fairness, compliance, and thus reachability of the desired state. To assess feasibility of such an approach, this paper reviews key literature in four areas: V2X communication technologies and architectures, data collection and state estimation for cooperative control, control methods for local, cooperative traffic management, and incentive schemes for traffic and mobility management.

Real-time GPS Tracking System for IoT-Enabled Connected Vehicles

This paper presents a real-time GPS tracking solution for connected vehicle networks, leveraging IoT, V2X communication, and VANET technologies. The system uses Arduino Uno R3, SIM800L, NEO6M GPS, Node.js, socket, and Firebase for seamless real-time GPS data collection, storage, and visualization. Users can access and monitor GPS data on a web interface. Integration of Node.js and sockets ensures efficient hardware-software communication, while Firebase enables realtime data storage and synchronization for resource management and tracking. The paper explores the system’s applications in dynamic routing for energy efficiency, eco-driving feedback, smart charging stations, environmental data collection, intelligent traffic management, and fleet emissions reduction. These applications highlight the system’s versatility, promoting energy efficiency and sustainability across industries. By incorporating IoT, VANET, and V2X communication, the system enables seamless connectivity and data exchange among vehicles, infrastructure, and the cloud, enhancing decision-making and system efficiency. Insights into system implementation, including IoT, VANET, and real-time GPS integration, are provided. The paper discusses transportation, logistics, and vehicule tracking as potential application domains, which hold promise for optimizing energy consumption. The presented solution offers an efficient, reliable platform for real-time GPS tracking in connected vehicle networks, harnessing IoT, VANET, and V2X communication for enhanced decisionmaking and sustainable transportation systems.

SPaT/MAP V2X communication between traffic light and vehicles and a realization with digital twin

The present paper’s focus is the V2X (Vehicle-to-Everything) communication between traffic light controller and road vehicles. After a brief review on the state-of-the-art V2X communication technologies and their feasibility for practical implementation, a brief description of their potential is discussed providing a working solution for SPaT/MAP (Signal Phase and Timing and MAP as intersection geometry) standard based communication, specifically for automotive proving ground usage. The main outcome of the proposed solution is a full y flexible traffic control system applying industrial PLC while ensuring a standardized V2X protocol. As a demonstrative HiL (Hardware-in-the-Loop) example, exploiting the elements of the traffic management system at the ZalaZONE Automotive Proving Ground, a GLOSA (Green Light Optimal Speed Advisory) scenario is presented with the developed SPaT/MAP V2X communication realizing a global optimum traffic control solution. The more, the whole framework is designed in a way that it is capable of using mixed reality components for testing purposes and realizing a digital twin for traffic lights. The method of virtualization for V2X communication is introduced using a co-simulation framework of three common software tools (SUMO, Veins, and OMNeT++).

VEHICLE TO EVERYTHING (V2X) COMMUNICATIONS TECHNOLOGY FOR SMART MOBILITY IN MALAYSIA: A COMPREHENSIVE REVIEW

Vehicle to Everything (V2X) communication technology assesses the potential as the new phenomenon for Intelligent Transportation Systems (ITS) in the context of vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), vehicle-to-pedestrian (V2P), and vehicle-to-network (V2N). Dedicated Short-Range Communications (DSRC) is the conventional vehicular communication standard for ITS. The cellular network based on 4G/5G for ITS deployment has become a competitor to DSRC. Recent advancements in technologies have motivated the research community to develop a hybrid DSRC, and cellular networks approach to support reliable ITS applications. Nevertheless, as new techniques come forward, the technical and regulatory challenges may also vary across countries. Given that the existing comparative studies have not been covered as a whole, we evaluated the V2X communication technology to classify the adaptability of DSRC, cellular networks, and hybrid methods. The study also includes available V2X technology platforms and products. In addition, the challenges of deployments are also depicted in this study. The outcome indicates that many automotive industries and telecommunication providers recognize V2X substantial effect on ITS. The work is underway to decide which capabilities will be added since this is a long-term benefit for our future transportation.

C-V2X equipment identification management and authentication mechanism

Cellular vehicle-to-everything (C-V2X) is the most promising V2X communication technology which can greatly improve traffic efficiency and road safety. However, when vehicles are interconnected with the surrounding radio environment, the CV2X system will face various network security risks and threats, significantly impacting on traffic and life safety. This paper proposes a novel unified identification management framework and security authentication mechanism for the C-V2X equipment based on the security problems analyses of the C-V2X system and the existing security protection schemes. This paper also presents the security analysis and evaluation for the united identification management and authentication mechanism. A experiment system is implemented to verify feasibility and effectiveness for the proposed mechanism.

A Multi-Layer Collaboration Framework for Industrial Parks with 5G Vehicle-to-Everything Networks

The fifth-generation (5G) wireless communication networks are expected to play an essential role in the transformation of vertical industries. Among many exciting applications to be enabled by 5G, logistics tasks in industry parks can be performed more efficiently via vehicle-to-everything (V2X) communications. In this paper, a multi-layer collaboration framework enabled by V2X is proposed for logistics management in industrial parks. The proposed framework includes three layers: a perception and execution layer, a logistics layer, and a configuration layer. In addition to the collaboration among these three layers, this study addresses the collaboration among devices, edge servers, and cloud services. For effective logistics in industrial parks, task collaboration is achieved through four functions: environmental perception and map construction, task allocation, path planning, and vehicle movement. To dynamically coordinate these functions, device–edge–cloud collaboration, which is supported by 5G slices and V2X communication technology, is applied. Then, the analytical target cascading method is adopted to configure and evaluate the collaboration schemes of industrial parks. Finally, a logistics analytical case study in industrial parks is employed to demonstrate the feasibility of the proposed collaboration framework.

V2X Empowered Non-Signalized Intersection Management in the AI Era: Opportunities and Solutions

With significant advancements of vehicle-to-everything (V2X) communication technologies in recent years, intelligent collaboration between connected vehicles and roadside units provides new opportunities for better road safety and vehicle traffic management via innovative non-signalized intersections. In this article, to deal with sophisticated traffic information brought about by a dynamic non-signalized intersection environment, artificial intelligence (AI) solutions together with V2X communication technologies are proposed to provide data-driven intersection management strategies. We first present the emerging technologies and key challenges toward V2X empowered non-signalized intersection management. By introducing the applications of typical AI technologies, we pinpoint three main research issues on V2X empowered non-signalized intersection management, leveraging various AI approaches. Finally, we present a case study where a multi-agent learning approach is applied for intelligent multiple intersection management to demonstrate the effectiveness of our non-signalized intersection solution.

Evolutionary Game for Content Cache in a mm-Wave-Based Vehicular Fog

Vehicular fog computing is attractive for sharing computing resources and data for safety and infortainment of self-driving cars. Recently, the V2X communication technology using mm-Wave frequency spectrum accelerates such future mobile computing with large bandwidth and beam-forming using a directional antenna. Although the beam-forming technique requires a complicate procedure for beam alignment, it can reduce mutual interference by spatial diversity. From the beam-forming scheduling, the vehicular fog can improve network performance, which is limited by data locations. Beams toward a vehicle for the same content should be scheduled in the time domain. Instead, we propose to replicate the content to multiple vehicles nearby to diversify beam directions. However, it is a challenge for vehicles to cache the content because the content caching costs not only limited local storage, but data transmission for other vehicles. For this, we adopt evolutionary game theory in which vehicles learn an evolutionarily stable strategy (ESS) from repeated games and maximize social utility. In this paper, we contribute to modeling a road segmentation for the mm-Wave V2X communication in order to derive connectivity probability with distributed content caches for the vehicular fog, and centralized and distributed algorithms for the evolutionary content cache game. From experiments, we confirm that content cache can improve V2X connectivity and the proposed evolution algorithm leads vehicles to choose the ESS for the content cache in the vehicular fog.

Emerging Technologies for 5G-IoV Networks: Applications, Trends and Opportunities

With the evolution of the technologies for IoV to be intelligent and interconnected, V2X communication technology serves as a core technology for information interaction among intelligent connected vehicles, and an important technology to realize environment sensing for future autonomous driving. In order to provide wireless communication services with ultra-low delay, ultra-high reliability and ultra-large bandwidth, this article proposes architectures of 5G-V2X communication networks by exploiting the technologies of 5G new radio (NR), network slicing, and device-to-device communications. We discuss their principles and key features, and foresee the challenges, opportunities, and future research trends. The applications of related technologies of the software defined network (SND) and multi-access edge computing (MEC) are also introduced. Finally, the technologies of information security and privacy protection are identified to support the diverse services and applications in the future 5G-V2X networks.

Security issues and challenges in V2X: A Survey

In its latest report, the United States National Highway Traffic Safety Administration (NHTSA) registered some 37,300 fatalities for the yearly victims of motor vehicle accidents in 2017. Vehicle-to-everything (V2X) is playing an important role in improving road safety, traffic efficiency and infotainment systems. With the growth of the connected vehicle technology, V2X is emerging as a key component in the rapid rise of this technology. Therefore, researchers think that development of robust wireless communication through efficient V2X technologies can significantly improve the vehicular environment. The highly dynamic environment and the mobility factor appear to be challenging for implementation of V2X technology. Similar to other wireless technology, the security issues are also key concerns in V2X.In this survey, we highlight and discuss the main security issues of V2X. Particularly, the main objective of this survey is providing for a comprehensive and structured outline of different research directions and approaches, mostly emphasizing on the security issues and challenges in V2X communication technologies. At first, we discuss the key features of V2X and focus on the standardization techniques used for communication technologies. Then, we introduce the security challenges and requirements of V2X. We also classify present state-of-the-art works dealing with implementing different secured techniques in V2X. We further discuss the project implementation that concentrated on the various applications in V2X. Finally, we identify possible future research directions of V2X, particularly in the area of security.

Cyber security challenges and solutions for V2X communications: A survey

In recent years, vehicles became able to establish connections with other vehicles and infrastructure units that are located in the roadside. In the near future, the vehicular network will be expanded to include the communication between vehicles and any smart devices in the roadside which is called Vehicle-to-Everything (V2X) communication. The vehicular network causes many challenges due to heterogeneous nodes, various speeds and intermittent connection, where traditional security methods are not always efficacious. As a result, an extensive variety of research works has been done on optimizing security solutions whilst considering network requirements. In this paper, we present a comprehensive survey and taxonomy of the existing security solutions for V2X communication technology. Then, we provide discussions and comparisons with regard to some pertinent criteria. Also, we present a threat analysis for V2X enabling technologies. Finally, we point out the research challenges and some future directions.

A Scenario-Reconfigurable Simulator for Verifying Service-Oriented Cooperation Mechanisms and Policies of Connected Intelligent Vehicles

With the emerging vehicular network and the possible diverse applications, intelligent transportation systems (ITS) have been evolving to Cooperative ITS (C-ITS) with connected intelligent vehicles, and the topics in this field have raised more and more research interests recently. However, subjecting to the immaturity of V2X communication technology, the difficulty and high cost to deploy such large scale ITS with intelligent vehicles, emerging studies are stuck with the verification of these big C-ITS. As more and more expected, intelligent vehicles will play important roles in the future smart cities and societies, as diverse mobility carriers. Focusing on new features of these carriers, mainly covering cyber-physical fusion, vehicular networking, service-carrier and so on, one new ITS simulator QoS-CITS for such service-oriented C-ITS is designed and developed. To enhance the adaptability, a scenario reconfigurable architecture is firstly designed, in which scenes can be described via XML file. On this basis, the authors have implemented all reservation-based models of traffic objects, state-driven behaviors, cooperation mechanisms, and policies, which are proposed for service-oriented C-ITS. Through a series of experiments are conducted with different parameters and typical scenes, all simulation functions are efficiently verified. And finally, some important conclusions drawn from large amount of experiments via QoS-CITS are exhibited. It's important to note that, researchers can conduct various experiments, both the traditional Passing-Through-Intersection (PTI) problem and service-oriented cooperation, via setting parameters of QoS-CITS according to their requirements, and can also analyze the performance with statistics data recorded automatically.

Channel Characterization for Satellite Link and Terrestrial Link of Vehicular Communication in the mmWave Band

In the vision of intelligent transportation, vehicles are expected to feature with advanced applications, such as automatic road enforcement, dynamic traffic light sequence, and autonomous driving. Therefore, real-time and fast dynamic information exchanges are required, and vehicle-to-everything (V2X) communications are highly demanded. In this work, the channel characteristics of vehicular communication are analyzed in the millimeter-wave (mmWave) band at 22.1-23.1 GHz. Specifically, two types of links (the satellite link and the terrestrial link) are considered in urban and highway scenarios with different weather conditions. The ray-tracing simulator together with calibrated electromagnetic parameters is employed to practically generate wideband channels. The key channel parameters of each link including the received power, Rician K -factor, root-mean-square delay spread, and angular spreads are explored. The co-channel interferences between the two links are analyzed as well. The observations and conclusions of this work can be useful for the design of V2X communication technologies.

Human Factors in the Design of Human–Machine Interaction: An Overview Emphasizing V2X Communication

More and more modern vehicles are incorporating connected technologies that use data collected by sensors located in other vehicles or infrastructure (V2X) to assist the driver. Deployment of upcoming technologies based on cooperative systems will likely be the key step toward a significant reduction of accidents across the globe. Particularly in the case of conveying information to the driver in the form of dynamic warnings based on V2X communication technologies representing different levels of danger, it is crucial to investigate driver distraction levels, as well as the modality and dimension of the visual warnings and their appropriate in-vehicle location. This paper summarizes and analyzes previously published works in the field of human–machine interaction for use in a vehicular context, in particular those which address messages conveyed by cooperative systems, providing the designer and the general audience with a background, variety of approaches, and example applications of the most current and important concepts in the field.