Developments and Constraints in 802.11-Based Roadside-to-Vehicle Communications

Vehicular communication is regarded as a backbone for the development of intelligent transportation system (ITS). Recently vehicular communication has attracted researchers from both academia and industry all over the world, notably, in the United States of America, Japan and European Union. The rapid advances in wireless technologies provide opportunities to utilize them in vehicular communication in advanced road safety applications. The most important feature of vehicular communication is to improve the road traffic safety, efficiency, comfort and quality of everyday road travel. Networking in particular and communication in general are important rudiments in the development of ITS. Generally, in vehicular communication, the information exchange occurs among vehicles not only in an ad-hoc based vehicle-to-vehicle networking but also in a vehicle-to-infrastructure with possible intermediate infrastructure-to-infrastructure networking. Therefore, the infrastructure plays major role in order to realize the full potential of vehicular communications. This chapter provides an in-depth survey of the infrastructures and technologies that are recently proposed as part of future ITS developments as well as tested for vehicular communications in mobile environment. Specifically, we provide an in-depth analysis of wireless technology-applications such as ad-hoc networking and wireless local area network (WLAN), dedicated short-range communication (DSRC), cellular technology and NOTICE Architecture, and compare their characteristics in terms of their abilities to support vehicular communications for development of ITS.

The main problems in transportation are accidents, increasingly slow traffic flow, and pollution. An intelligent transportation system (ITS) using roadside infrastructure can overcome these problems. For this reason, the number of such systems is increasing dramatically, and therefore requires an adequate overview. To the best of our knowledge, no current systematic review of existing ITS solutions exists. To fill this knowledge gap, our paper provides an overview of existing ITS that use roadside infrastructure worldwide. Accordingly, this paper addresses current questions and challenges. For this purpose, we performed a literature review of documents that describe existing ITS solutions from 2009 until today. We categorized the results according to technology levels and analyzed its hardware system setup and value-added contributions. In doing so, we made the ITS solutions comparable and highlighted past development alongside current trends. We analyzed more than 400 papers, including 53 test bed projects. In summary, current ITSs can deliver accurate information about individuals in traffic situations in real-time. However, further research into ITS should focus on more reliable perception of the traffic using modern sensors, plug-and-play mechanisms, and secure real-time distribution of the digital twins in a decentralized manner. By addressing these topics, the development of intelligent transportation systems will be able to take a step towards its comprehensive roll-out.

Aim. Threats of a non-physical nature have a significant effect on the security of intelligent transportation systems (ITS). They may have the form of unlawful interference in the development and implementation of ITS. The creation of a trusted framework for the development and implementation of ITS is examined as in the case of intelligent water transportation systems (IWTS). Problems. By decree of the President of the Russian Federation, ITS, telecommunications and security of information processing are among the priority areas of scientific and technological development. ITS technologies, as well as those involved in the creation of trusted, secure system and application software are among the most important critical high technologies. The operation of ITS involves wide use of computerised systems that implement the latest information and telecommunication technologies, automated and automatic control technologies, artificial intelligence that can pose security threats. ITS are to be developed and operated in a trusted environment. Methods. The paper used the methodology for ensuring the security of IWTS, development of secure hardware and software platforms for secure automated systems, methods of system analysis, dependability theory, information protection, and law. Results. The paper defines the problem of creating a trusted framework for the development and implementation of IWTS, the applicable terminology is developed. The author examined the effect of IWTS on the security of critical information infrastructure (CII) and national security, developed a model of relationships between the IWTS security domains taking into account threats of physical and non-physical origin. Examples of computer incidents within IWTS that caused consequences at the national and international levels are given. The composition of the IWTS facilities attributed to CII is defined, critical processes implemented by standard CII facilities as part of the IWTS are set forth. The author lists conceptual problems of IWTS security, defines the principles of creating a trusted framework for the development and implementation of IWTS. Conclusion. Ensuring the security of IWTS against modern threats requires solving a number of problems associated with the creation of a trusted framework for the development and implementation of IWTS. For the purpose of improving the timeliness and quality of their solution, the paper proposes an intuitive terminology that reflects the subject area and helps finding a common understanding of the security domain by experts from various industries. IWTS facilities have an effect on CII security and national security in general. That is taken into account in the model of relationships between IWTS security domains, demonstrated using cases of computer incidents within IWTS that caused consequences at the national and international level. Given the above, the paper lists IWTS facilities attributed to CII and sets forth examples of critical processes implemented by standard CII facilities as part of the IWTS. The defined list of conceptual IWTS security problems take into account the growing landscape of IWTS security threats that includes insecure software, hardware and software platforms, software and hardware systems and emerging technologies. When developing the principles for the creation of a trusted IWTS development and implementation framework, the author took into account the best practice of implementing the methodology for creating national secure hardware and software platforms of CII facilities that enables the creation of secure automated systems for various applications that are based on domestically-developed solutions. The examined matters are of a systemic nature, which allows using the findings in the development and implementation of ITS in other modes of transportation.

Research efforts carried out on Intelligent Transportation Systems (ITS) for improving safety and efficiency of road transportation have been focused on cars, where vehicular communications have demonstrated to enhance the driver awareness with active services that improve fatality statistics. Although common vehicles accidents have been reduced in the last years, those involving vulnerable road users remain. Cyclists and motorcyclists cover a whole area where ITS and telematics should be embedded with no doubt, given the incremental popularity of bikes and motorbikes in urban mobility and short interurban routes. For this reason, this work takes the key objective of integrating two-wheelers within the future cooperative ITS network. Hence, a novel communication device especially adapted to cyclists and motorcyclists has been designed, by integrating vehicular wireless communications (i.e. IEEE 802.11p) and considering interface limitations. From the protocols perspective the work is focused on IPv6, and considers two-wheelers as part of the Future Internet. In fact, a great success of the proposal is exploiting the synergy between IETF (Internet) and ITS-specific protocols coming from ISO and ETSI, creating a novel active system to improve two-wheel transport safety through Cooperative Awareness Messaging (CAM) over IPv6. The embedded communication node for two-wheelers includes the proper software to warn the driver about the approaching of a regular vehicle through audio and visual notifications. Moreover, its counterpart for common cars has also been developed, but using an Android application running on a handheld device connected to a regular IPv6 in-vehicle network.

To meet the prospective demands of intelligent transportation systems (ITS), the Release 14 (Rel-14) and Rel-15 of the Long Term Evolution (LTE) specifications include solutions for enhanced vehicle-to-everything (V2X) communications. While the technical enablers of Rel-14 are suitable for delivering basic safety messages, Rel-15 supports more demanding ITS services with stringent latency and reliability. Starting in Rel-15 and continuing in Rel-16, the 3GPP was developing a novel radio interface for 5G systems, termed the New Radio (NR), which will enable ultra reliable and low latency communications suitable even for the most demanding ITS applications. In this paper, we overview the new V2X-specific features in Rel-15 and Rel-16. Further, we argue that future V2X and automotive radar systems may reuse common equipment, such as millimeter-wave antenna arrays. We finally discuss the vision of joint vehicular communications and radar sensing as well as characterize unified channel access for millimeter-wave vehicular communications and radar sensing.

With the incoming introduction of 5G networks and the advancement in technologies such as network function virtualization and software defined networking, new and emerging networking technologies and use cases are taking shape. One such technology is the Internet of Vehicles (IoV), which describes an interconnected system of vehicles and infrastructure. Coupled with recent developments in artificial intelligence and machine learning, IoV is transformed into an intelligent transportation system (ITS). There are, however, several operational considerations that hinder the adoption of ITSs, including scalability, high availability, and data privacy. To address these challenges, federated learning, a collaborative and distributed intelligence technique, is suggested. Through an ITS case study, the ability of a federated model deployed on roadside infrastructure throughout the network to recover from faults by leveraging group intelligence while reducing recovery time and restoring acceptable system performance is highlighted. With a multitude of use cases and benefits, federated learning is a key enabler for ITS and is poised to achieve widespread implementation in 5G and beyond networks and applications.

Vehicular communication networks are a type of network in which vehicles and roadside units are the communicating nodes, providing each other with information such as safety warnings and traffic information. As a cooperative approach, vehicular communications can be more effective in avoiding accidents and traffic congestion, rather than each vehicle trying to solve these problems individually. Therefore, intelligent transportation systems (ITS) have been developed to address the challenges of the safety, security, and efficacy of the current transportation systems. The field of inter vehicular communications (IVC) includes both vehicle-to-vehicle (V2V) and vehicle-to infrastructures (V2I) communication and is also known as the vehicular ad hoc network (VANET). The VANET is recognized as an important component of ITS in various national plans [1]. Direct communication between vehicles may be set up by means of mobile ad hoc networks (MANETs), which do not depend on the altered foundation. Research on MANETs covers the application prerequisites and correspondence conventions for everything from sensor systems to handheld PCs and vehicular frameworks [2].

The rapid development of the Intelligent Transportation System increases the potential of Vehicular communication in a smart transportation network. Although there are several technological attempts to support vehicular communication, they have limitations from various perspectives including mobility, security, resource allocation, and device-to-device communication. In order to address those limitations, this study evaluates the most appropriate communication technology to transmit data in the future Vehicle to Everything (V2X) communication system. First, we conduct a performance evaluation of the current main vehicular communication system requirements. Then, we analyze the applications of communication technologies such as wi-fi, LTE, 5G, and 6G to fulfill the requirements of future V2X communication. Later, we explore the advanced features of 6G in the context of the Intelligent Transportation System. Then, we suggest that 6G technology as the corresponding communication technology to future V2X communication systems based on the analysis. Finally, we propose an architecture for the 6G V2X network and discuss security challenges and suggested solutions for the architecture.

Through integrating advanced communication and data processing technologies into smart vehicles and roadside infrastructures, the Intelligent Transportation System (ITS) has evolved as a promising paradigm for improving safety, efficiency of the transportation system. However, the strict delay requirement of the safety-related applications is still a great challenge for the ITS, especially in dense traffic environment. In this paper, we introduce the metric called Perception-Reaction Time (PRT), which reflects the time consumption of safety-related applications and is closely related to road efficiency and security. With the integration of the incorporating information-centric networking technology and the fog virtualization approach, we propose a novel fog resource scheduling mechanism to minimize the PRT. Furthermore, we adopt a deep reinforcement learning approach to design an on-line optimal resource allocation scheme. Numerical results demonstrate that our proposed schemes is able to reduce about 70% of the RPT compared with the traditional approach.

Energy efficient data transmission in intelligent transportation system (ITS): Millimeter (mm wave) based routing algorithm for connected vehicles

The development of wireless vehicular networks for cooperative Intelligent Transport Systems (ITS) opened the possibility of launching cooperative applications that can improve vehicle and road safety, passenger’s comfort and efficiency of traffic management. These applications exhibit tight latency and throughput requirements, for example safety critical services such as the Emergency Electronic Brake Light require guaranteed maximum latencies lower than 100 ms, while most infotainment applications require QoS support and data rates higher than 1 Mbit/s. Current wireless communication standards such as IEEE 802.11-2012 amendment 6 and ETSI-G5 have some drawbacks in what concerns their medium access control technique, which is based in CSMA/CA, particularly for high speed and high density environments. To deal with such environments, an infrastructured based TDMA protocol, the Vehicular Flexible Time Triggered protocol was proposed. In this chapter several protocol parameters are quantified, taking in account realistic scenarios and current wireless communication standards, that are applicable in these environments. To deploy such an infrastructured based network in an entire motorway might be expensive, therefore a concept of safety zone is used whenever there is a part of the motorway that is covered by road side units that implement the protocol. A worst case approach is used in order to prove that the V-FTT protocol has a bounded delay in what concerns the time occurred between a safety event detection and the instant of time of its reception by all vehicles travelling in the safety zone. With the exception of the lowest bit rate (3 Mbps), the V-FTT protocol has a guaranteed bounded delay under the maximum allowed latency of the most common safety vehicle applications.

Intelligent transportation systems (ITS) provides a safe and reliable means of transferring data between vehicles. The document describes the transmission systems, protocols, networks, taxonomy, and applications of Intelligent Systems. Detailed analysis of the existing transmission flow systems is required, including classification, standards, coverage, applications, as well as their advantages and disadvantages. The adaptability of transmission networks, such as ad hoc, hybrid, mobile ad hoc networks (MANET), and Vehicular ad hoc networks (VANETs), has a significant advantage. Described protocols for a variety of communication types, including routing techniques, platforms, structures, and the use of information areas as well. The use of intelligent technology can determine reliable, comfortable, safe, and trustworthy vehicular communication. This paper analyzes the current vehicular communication (VC) research flow and their deployments with indicated areas where further development is necessary. This paper examines how emerging technologies in the upcoming markets will enable the development of high-featured VC technologies. The challenges of improving upon existing VC systems in the development of future systems are discussed in this paper, including medium selection, link and service quality, security, channel characteristics, and mobility. The purpose of this study is to identify the need for the development of improved VC technologies, networks, and protocols for a wide range of applications in the future.

Intelligent Transportation Systems (ITS) are increasingly shifting toward data-driven and artificial intelligence-based frameworks that integrate sensing, prediction, and control to enhance mobility efficiency, safety, and adaptability. This dissertation contributes to the development of next-generation ITS through three complementary studies focusing on flexible traffic monitoring, real-time traffic forecasting, and stability-aware vehicle control. The first study develops a multi-drone framework for wide-view corridor traffic analysis and origin-destination (OD) estimation. By coordinating multiple unmanned aerial vehicles, as demonstrated with two drones in this study, the framework enables continuous vehicle tracking across extended corridors. A deep learning-based pipeline combining vehicle detection and tracking automatically reconstructs vehicle trajectories and matches them across drone views. Field experiments conducted at a freeway weaving section achieved over 91% accuracy in OD flow estimation compared with ground-truth data, demonstrating the framework’s effectiveness for scalable and high-resolution traffic monitoring. The second study proposes a day-specific spatial-temporal graph convolutional network (Day-STGCN) for real-time traffic forecasting. Building upon the classical STGCN architecture, the model integrates rolling historical time-dependent features with day-type categorization to capture both short-term variations and long-term recurring patterns. Using real-world sensor data, the model significantly improves prediction accuracy over baseline graph neural networks, providing robust day-aware forecasting that reflects realistic daily traffic dynamics. The third study investigates cooperative adaptive cruise control (CACC) and its effects on traffic string stability under varying market penetration rates of connected and automated vehicles (CAVs). Analytical derivations establish explicit stability conditions linking controller parameters, time headway, and control intervals in both homogeneous and heterogeneous traffic flows. The results reveal that appropriately designed CACC controllers enhance string stability even in mixed environments with different types of vehicles. Collectively, these studies present an integrated framework that advances ITS through data-driven sensing, learning, and control, offering theoretical and practical foundations for more intelligent, responsive, and stable transportation systems.

A new method of vehicle identification in intelligent traffic command system is proposed, which is directed to some problems in the vehicle detection method of complex traffic conditions in intelligent traffic systems. The method extracts the vehicle structure sub-features according to the structural characteristics of the vehicle itself, and then combines the sub¬features. The identification of the vehicle is achieved by the identification of the combined features. Through experimental analysis, the method not only has a fast processing speed, but also has a high vehicle recognition accuracy. Therefore, this method has broad application prospects and value in intelligent traffic command system.

Since last decades world, predominantly urban areas, is experiencing huge voluminous road traffic growth, resulting in heavy congestion, air pollution, accidents, and poor efficiency. Many people every day are the victims of this poor management of tremendous traffic. Since many years, there had been some automation in managing the traffic namely Electronic Toll Collection (ETC), Electronic parking payment, normal traffic information etc. However, there are little efforts for making the system more advanced. Recently, several kinds of research are being launched by many countries to develop Intelligent Transport System (ITS), with the objectives to minimize congestion, ensure better safety, reduce air pollution etc. ITS are planned to establish robust communication between vehicle to vehicle (V2V), vehicle to pedestrian (V2P), vehicle to infrastructure (V2I), and vehicle to network (V2N). Initially, for communication links ITS, deploys Wi-Fi network, but because of limited capacity and huge requirement, some links use 5.8 GHz radio frequency for such purposes. IEEE, International Telecommunications Union (ITU) and other advanced research organisations are studying 700 MHz band and mm frequency bands for advanced ITS. ITS is poised to use Information & Communication Technology (ICT) networks for such purposes. ITU has established Study Groups/study questions for addressing ITS issues. The World Radio Conference (WRC-2019) has made a Recommendation 208 regarding harmonization of frequency bands for ITS applications. This paper presents a comprehensive overview of ITS, its applications and analysis etc. The radio frequency spectrum aspects and role of 5 G in ITS are also described in detail.