Academic literature on the topic 'Vehicle-To-Everything (V2X)'
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Journal articles on the topic "Vehicle-To-Everything (V2X)"
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Abdullah, Mohd Fikri Azli, Sumendra Yogarayan, Siti Fatimah Abdul Razak, Afizan Azman, Anang Hudaya Muhamad Amin, and Mazrah Salleh. "Edge computing for Vehicle to Everything: a short review." F1000Research 10 (July 7, 2022): 1104. http://dx.doi.org/10.12688/f1000research.73269.2.
Full textAbstract:
Vehicle to Everything (V2X) communications and services have sparked considerable interest as a potential component of future Intelligent Transportation Systems. V2X serves to organise communication and interaction between vehicle to vehicle (V2V), vehicle to infrastructure (V2I), vehicle to pedestrians (V2P), and vehicle to networks (V2N). However, having multiple communication channels can generate a vast amount of data for processing and distribution. In addition, V2X services may be subject to performance requirements relating to dynamic handover and low latency communication channels. Good throughput, lower delay, and reliable packet delivery are the core requirements for V2X services. Edge Computing (EC) may be a feasible option to address the challenge of dynamic handover and low latency to allow V2X information to be transmitted across vehicles. Currently, existing comparative studies do not cover the applicability of EC for V2X. This review explores EC approaches to determine the relevance for V2X communication and services. EC allows devices to carry out part or all of the data processing at the point where data is collected. The emphasis of this review is on several methods identified in the literature for implementing effective EC. We describe each method individually and compare them according to their applicability. The findings of this work indicate that most methods can simulate the EC positioning under predefined scenarios. These include the use of Mobile Edge Computing, Cloudlet, and Fog Computing. However, since most studies are carried out using simulation tools, there is a potential limitation in that crucial data in the search for EC positioning may be overlooked and ignored for bandwidth reduction. The EC approaches considered in this work are limited to the literature on the successful implementation of V2X communication and services. The outcome of this work could considerably help other researchers better characterise EC applicability for V2X communications and services.
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Abdullah, Mohd Fikri Azli, Sumendra Yogarayan, Siti Fatimah Abdul Razak, Afizan Azman, Anang Hudaya Muhamad Amin, and Mazrah Salleh. "Edge computing for Vehicle to Everything: a short review." F1000Research 10 (November 1, 2021): 1104. http://dx.doi.org/10.12688/f1000research.73269.1.
Full textAbstract:
Vehicle to Everything (V2X) communications and services have sparked considerable interest as a potential component of future Intelligent Transportation Systems. V2X serves to organise communication and interaction between vehicle to vehicle (V2V), vehicle to infrastructure (V2I), vehicle to pedestrians (V2P), and vehicle to networks (V2N). However, having multiple communication channels can generate a vast amount of data for processing and distribution. In addition, V2X services may be subject to performance requirements relating to dynamic handover and low latency communication channels. Good throughput, lower delay, and reliable packet delivery are the core requirements for V2X services. Edge Computing (EC) may be a feasible option to address the challenge of dynamic handover and low latency to allow V2X information to be transmitted across vehicles. Currently, existing comparative studies do not cover the applicability of EC for V2X. This review explores EC approaches to determine the relevance for V2X communication and services. EC allows devices to carry out part or all of the data processing at the point where data is collected. The emphasis of this review is on several methods identified in the literature for implementing effective EC. We describe each method individually and compare them according to their applicability. The findings of this work indicate that most methods can simulate the EC positioning under predefined scenarios. These include the use of Mobile Edge Computing, Cloudlet, and Fog Computing. However, since most studies are carried out using simulation tools, there is a potential limitation in that crucial data in the search for EC positioning may be overlooked and ignored for bandwidth reduction. The EC approaches considered in this work are limited to the literature on the successful implementation of V2X communication and services. The outcome of this work could considerably help other researchers better characterise EC applicability for V2X communications and services.
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Abdullah, Mohd Fikri Azli, Sumendra Yogarayan, Siti Fatimah Abdul Razak, Afizan Azman, Anang Hudaya Muhamad Amin, and Mazrah Salleh. "Edge computing for Vehicle to Everything: a short review." F1000Research 10 (May 11, 2023): 1104. http://dx.doi.org/10.12688/f1000research.73269.3.
Full textAbstract:
Vehicle to Everything (V2X) communications and services have sparked considerable interest as a potential component of future Intelligent Transportation Systems. V2X serves to organise communication and interaction between vehicle to vehicle (V2V), vehicle to infrastructure (V2I), vehicle to pedestrians (V2P), and vehicle to networks (V2N). However, having multiple communication channels can generate a vast amount of data for processing and distribution. In addition, V2X services may be subject to performance requirements relating to dynamic handover and low latency communication channels. Good throughput, lower delay, and reliable packet delivery are the core requirements for V2X services. Edge Computing (EC) may be a feasible option to address the challenge of dynamic handover and low latency to allow V2X information to be transmitted across vehicles. Currently, existing comparative studies do not cover the applicability of EC for V2X. This review explores EC approaches to determine the relevance for V2X communication and services. EC allows devices to carry out part or all of the data processing at the point where data is collected. The emphasis of this review is on several methods identified in the literature for implementing effective EC. We describe each method individually and compare them according to their applicability. The findings of this work indicate that most methods can simulate the EC positioning under predefined scenarios. These include the use of Mobile Edge Computing, Cloudlet, and Fog Computing. However, since most studies are carried out using simulation tools, there is a potential limitation in that crucial data in the search for EC positioning may be overlooked and ignored for bandwidth reduction. The EC approaches considered in this work are limited to the literature on the successful implementation of V2X communication and services. The outcome of this work could considerably help other researchers better characterise EC applicability for V2X communications and services.
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Khan, Usman Ali, and Sang Sun Lee. "Distance-Based Resource Allocation for Vehicle-to-Pedestrian Safety Communication." Electronics 9, no. 10 (October 5, 2020): 1640. http://dx.doi.org/10.3390/electronics9101640.
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Cellular Vehicle to Everything (V2X) has redefined the vehicular communication architecture as something that needs an ultra-reliable link, high capacity, and fast message delivery in vehicular networks. The V2X scenarios are broadly categorized as Vehicle to Vehicle (V2V), Vehicle to Infrastructure (V2I), Vehicle to Pedestrians (V2P), and Vehicle to Network (V2N). Vulnerable pedestrians belong to the V2P category and hence require an ultra-reliable link and a fast message delivery in case the moving vehicle is in the close proximity of the pedestrian. However, congestion in the network calls for an optimized resource allocation that would allow a fast and secure connection between a vehicle and the pedestrian. In this paper, we have proposed a distance-based resource allocation that classifies the pedestrians in different categories, performs a one-to-many weighted bipartite matching, and finally a reinforcement learning based power allocation.
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Yogarayan, Sumendra, Siti Fatimah Abdul Razak, Afizan Azman, and Mohd Fikri Azli Abdullah. "VEHICLE TO EVERYTHING (V2X) COMMUNICATIONS TECHNOLOGY FOR SMART MOBILITY IN MALAYSIA: A COMPREHENSIVE REVIEW." Journal of Southwest Jiaotong University 56, no. 4 (August 30, 2021): 534–63. http://dx.doi.org/10.35741/issn.0258-2724.56.4.47.
Full textAbstract:
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.
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Yogarayan, Sumendra, Siti Fatimah Abdul Razak, Afizan Azman, and Mohd Fikri Azli Abdullah. "VEHICLE TO EVERYTHING (V2X) COMMUNICATIONS TECHNOLOGY FOR SMART MOBILITY IN MALAYSIA: A COMPREHENSIVE REVIEW." Journal of Southwest Jiaotong University 56, no. 4 (August 30, 2021): 534–63. http://dx.doi.org/10.35741/issn.0258-2724.56.4.47.
Full textAbstract:
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.
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Khezri, Rahmat, David Steen, and Le Anh Tuan. "Willingness to Participate in Vehicle-to-Everything (V2X) in Sweden, 2022—Using an Electric Vehicle’s Battery for More Than Transport." Sustainability 16, no. 5 (February 22, 2024): 1792. http://dx.doi.org/10.3390/su16051792.
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Vehicle-to-everything (V2X) refers to the technology that enables electric vehicles (EVs) to push their battery energy back to the grid. The system’s V2X integration includes key functions like V2G, V2H, V2B, etc. This paper explores the preferences of Swedish EV drivers in contributing to V2X programs through an online questionnaire. Respondents were asked to answer questions in three contexts: (1) claims related to their EV charging, (2) V2G application by EV, and (3) V2H application by EV. The respondents were questioned about the importance of control, pricing, energy sustainability and climate issues, impact on the battery, the acceptability of V2X, range anxiety, financial compensation, as well as how and where they prefer to charge the EV. The results of the survey indicate that Swedish EV drivers are more interested in the V2H application than in V2G. Additionally, they express more concern about range anxiety than battery degradation due to the V2X application.
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Pan, Bin, and Hao Wu. "Success Probability Analysis of C-V2X Communications on Irregular Manhattan Grids." Wireless Communications and Mobile Computing 2020 (August 19, 2020): 1–13. http://dx.doi.org/10.1155/2020/2746038.
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To overcome the shortcomings of Dedicated Short Range Communications (DSRC), cellular vehicle-to-everything (C-V2X) communications have been proposed recently, which has a variety of advantages over traditional DSRC, including longer communication range, broader coverage, greater reliability, and smooth evolution path towards 5G. In this paper, we consider an LTE-based C-V2X communications network in irregular Manhattan grids. We model the macrobase stations (MBSs) as a 2D Poisson point process (PPP) and model the roads as a Manhattan Poisson line process (MPLP), with the roadside units (RSUs) modeled as a 1D PPP on each road. As an enhancement architecture to DSRC, C-V2X communications include vehicle-to-vehicle (V2V) communication, vehicle-to-infrastructure (V2I) communication, vehicle-to-pedestrian (V2P) communication, and vehicle-to-network (V2N) communication. Since the spectrum for PC5 interface in 5.9 GHz is quite limited, cellular networks could share some channels to V2I links to improve spectral efficiency. Thus, according to Maximum Power-based Scheme, we adopt the stochastic geometry approach to compute the signal-to-interference ratio- (SIR-) based success probability of a typical vehicle that connects to an RSU or an MBS and the area spectral efficiency of the whole network over shared V2I and V2N downlink channels. In addition, we study the asymptotic characteristics of success probability and provide some design insights according to the impact of several key parameters on success probability.
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Miao, Lili, John Jethro Virtusio, and Kai-Lung Hua. "PC5-Based Cellular-V2X Evolution and Deployment." Sensors 21, no. 3 (January 27, 2021): 843. http://dx.doi.org/10.3390/s21030843.
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C-V2X (Cellular Vehicle-to-Everything) is a state-of-the-art wireless technology used in autonomous driving and intelligent transportation systems (ITS). This technology has extended the coverage and blind-spot detection of autonomous driving vehicles. Economically, C-V2X is much more cost-effective than the traditional sensors that are commonly used by autonomous driving vehicles. This cost-benefit makes it more practical in a large scale deployment. PC5-based C-V2X uses an RF (Radio Frequency) sidelink direct communication for low latency mission-critical vehicle sensor connectivity. Over the C-V2X radio communications, the autonomous driving vehicle’s sensor ability can now be largely enhanced to the distances as far as the network covers. In 2020, 5G is commercialized worldwide, and Taiwan is at the forefront. Operators and governments are keen to see its implications in people’s daily life brought by its low latency, high reliability, and high throughput. Autonomous driving class L3 (Conditional Automation) or L4 (Highly Automation) are good examples of 5G’s advanced applications. In these applications, the mobile networks with URLLC (Ultra-Reliable Low-Latency Communication) are perfectly demonstrated. Therefore, C-V2X evolution and 5G NR (New Radio) deployment coincide and form a new ecosystem. This ecosystem will change how people will drive and how transportation will be managed in the future. In this paper, the following topics are covered. Firstly, the benefits of C-V2X communication technology. Secondly, the standards of C-V2X and C-V2X applications for automotive road safety system which includes V2P/V2I/V2V/V2N, and artificial intelligence in VRU (Vulnerable Road User) detection, object recognition and movement prediction for collision warning and prevention. Thirdly, PC5-based C-V2X deployment status in global, especially in Taiwan. Lastly, current challenges and conclusions of C-V2X development.
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Han, Donghee, and Jaewoo So. "Energy-Efficient Resource Allocation Based on Deep Q-Network in V2V Communications." Sensors 23, no. 3 (January 23, 2023): 1295. http://dx.doi.org/10.3390/s23031295.
Full textAbstract:
Recently, with the development of autonomous driving technology, vehicle-to-everything (V2X) communication technology that provides a wireless connection between vehicles, pedestrians, and roadside base stations has gained significant attention. Vehicle-to-vehicle (V2V) communication should provide low-latency and highly reliable services through direct communication between vehicles, improving safety. In particular, as the number of vehicles increases, efficient radio resource management becomes more important. In this paper, we propose a deep reinforcement learning (DRL)-based decentralized resource allocation scheme in the V2X communication network in which the radio resources are shared between the V2V and vehicle-to-infrastructure (V2I) networks. Here, a deep Q-network (DQN) is utilized to find the resource blocks and transmit power of vehicles in the V2V network to maximize the sum rate of the V2I and V2V links while reducing the power consumption and latency of V2V links. The DQN also uses the channel state information, the signal-to-interference-plus-noise ratio (SINR) of V2I and V2V links, and the latency constraints of vehicles to find the optimal resource allocation scheme. The proposed DQN-based resource allocation scheme ensures energy-efficient transmissions that satisfy the latency constraints for V2V links while reducing the interference of the V2V network to the V2I network. We evaluate the performance of the proposed scheme in terms of the sum rate of the V2X network, the average power consumption of V2V links, and the average outage probability of V2V links using a case study in Manhattan with nine blocks of 3GPP TR 36.885. The simulation results show that the proposed scheme greatly reduces the transmit power of V2V links when compared to the conventional reinforcement learning-based resource allocation scheme without sacrificing the sum rate of the V2X network or the outage probability of V2V links.
Dissertations / Theses on the topic "Vehicle-To-Everything (V2X)"
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Choi, Junsung. "Feasibility Study and Performance Evaluation of Vehicle-to-Everything (V2X) Communications Applications." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/97248.
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Vehicular communications are a major subject of research and policy activity in industry, government, and academia. Dedicated Short-Range Communications (DSRC) is currently the main protocol used for vehicular communications, and it operates in the 5.9 GHz band. In addition to DSRC radios, other potential uses of this band include Wi-Fi, LTE-V, and communication among unlicensed devices. This dissertation presents an architecture and a feasibility analysis including field measurements and analysis for vehicle-to-train (V2T) communications, a safety-critical vehicular communication application. The dissertation also presents a survey of research relevant to each of several possible combinations of radio-spectrum and vehicular-safety regulations that would affect use of the 5.9 GHz band, identifies the most challenging of the possible resulting technical challenges, and presents initial measurements to assess feasibility of sharing the band by DSRC radios and other devices that operate on adjacent frequencies using different wireless communication standards.
Although wireless technology is available for safety-critical communications, few applications have been developed to improve railroad crossing safety. A V2T communication system for a safety warning application with DSRC radios can address the need to prevent collisions between trains and vehicles. The dissertation presents a V2T early warning application architecture with a safety notification time and distance. We conducted channel measurements at a 5.86�"5.91-GHz frequency and 5.9-GHz DSRC performance measurements at railroad crossings in open spaces, shadowed environments, and rural and suburban environments related to the presented V2T architecture. Our measurements and analyses show that the DSRC protocol can be adapted to serve the purpose of a V2T safety warning system.
The 5.9 GHz band has been sought after by several stakeholders, including traditional mobile operators, DSRC proponents, unlicensed Wi-Fi proponents and Cellular-Vehicle-to-Everything (C-V2X) proponents. The FCC and National Highway Traffic Safety Administration (NHTSA), the two major organizations that are responsible for regulations related to vehicular communications, have not finalized rules regarding this band. The relative merits of the above mentioned wireless communication standards and coexistence issues between these standards are complex. There has been considerable research devoted to understanding the performance of these standards, but in some instances there are gaps in needed research. We have analyzed regulation scenarios that FCC and NHTSA are likely to consider and have identified the technical challenges associated with these potential regulatory scenarios. The technical challenges are presented and for each a survey of relevant technical literature is presented. In our opinion for the most challenging technical requirements that could be mandated by new regulations are interoperability between DSRC and C-V2X and the ability to detect either adjacent channel or co-channel coexisting interference. We conducted initial measurements to evaluate the feasibility of adjacent channel coexistence between DSRC, Wi-Fi, and C-V2X, which is one of the possible regulatory scenarios. We set DSRC at Channel 172, Wi-Fi at Channel 169 for 20 MHz bandwidth and at Channel 167 for 40 MHz, and C-V2X at Channel 174 with almost 100% spectrum capacity. From the measurements, we observed almost no effects on DSRC performance due to adjacent channel interference. Based on our results, we concluded that adjacent channel coexistence between DSRC, C-V2X, and Wi-Fi is possible.
DSRC systems can provide good communication range; however, the range is likely to be reduced in the presence of interference and / or Non-Line-of-Sight (NLoS) conditions. Such environmental factors are the major influence on DSRC performance. By knowing the relationship between DSRC and environmental factors, DSRC radios can be set up in a way that promotes good performance in an environment of interest. We chose propagation channel characteristics to generate DSRC performance modelling by using estimation methods. The conducted DSRC performance measurements and propagation channel characteristics are independent; however, they share the same distance parameters. Results of linear regression to analyze the relationship between DSRC performance and propagation channel characteristics indicate that additional V2T measurements are required to provide data for more precise modeling.PHD
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Choi, Junsung. "Latency Study and System Design Guidelines for Cooperative LTE-DSRC Vehicle-to-Everything (V2X) Communications including Smart Antenna." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/78083.
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Vehicle-related communications are a key application to be enabled by Fifth Generation (5G) wireless systems. The communications enabled by the future Internet of Vehicles (IoV) that are connected to every wireless device are referred to as Vehicle-to-Everything (V2X) communications. A major application of V2X communication systems will be to provide emergency warnings. This thesis evaluates Long-Term Evolution (LTE) and Dedicated Short Range Communications (DSRC) in terms of service quality and latency, and provides guidelines for design of cooperative LTE-DSRC systems for V2X communications. An extensive simulation analysis shows that (1) the number of users in need of warning has an effect on latency, and more so for LTE than for DSRC, (2) the DSRC priority parameter has an impact on the latency, and (3) wider system bandwidths and smaller cell sizes reduce latency for LTE. The end-to-end latency of LTE can be as high as 1.3 s, whereas the DSRC latency is below 15 ms for up to 250 users.
Also, improving performance of systems is as much as important as studying about latency. One method to improving performance is using a better suitable antenna for physical communication. The mobility of vehicles results in a highly variable propagation channel that complicates communication. Use of a smart, steerable antenna can be one solution. The most commonly used antennas for vehicular communication are omnidirectional. Such antennas have consistent performance over all angles in the horizontal plane; however, rapidly steerable directional antennas should perform better in a dynamic propagation environment. A linear array antenna can perform dynamical appropriate azimuth pattern by having different weights of each element. The later section includes (1) identifying beam pattern parameters based on locations of a vehicular transmitter and fixed receivers and (2) an approach to find weights of each element of linear array antenna. Through the simulations with our approach and realistic scenarios, the desired array pattern can be achieved and array element weights can be calculated for the desired beam pattern. Based on the simulation results, DSRC is preferred to use in the scenario which contains large number of users with setup of higher priority, and LTE is preferred to use with wider bandwidth and smaller cell size. Also, the approach to find the controllable array antenna can be developed to the actual implementation of hardware with USRP.Master of Science
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Fasciani, Davide. "Real time processing in Simulink for Hardware in the Loop simulations of V2X." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.
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Vehicle-to-everything (V2X) communications allow vehicles to exchange messages useful for several scopes, including accident reduction and safety applications. This feature, in cooperation with advanced driver assistance systems (ADAS), needs to be tested and validated to guarantee optimal functionality. This thesis focuses on the
development of a Simulink V2X simulation communication module, as an extension to the traffic simulator adopted as part of a validation platform, with the aim of interfacing it with hardware devices. The traffic simulator generates the scenario and controls, through a protocol defined in this activity, an external simulator, which in turn activates the exchange of V2X messages. The system is then tested by applying, as an example, a forward collision warning (FCW) application. More specifically firstly, simulations have been developed in a software in the loop (SiL) architecture; finally, a hardware in the loop (HiL) setup has been implemented, involving real on-board units (OBUs), with a tablet simulating human-to-machine interface (HMI).
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Moscato, Giulio. "Implementation of use cases for Hardware in the Loop simulations of V2X/ADAS." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.
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The growing interest in the automotive field is leading to the study and development of increasingly advanced techniques for autonomous and assisted driving.
This thesis focuses on the implementation of a component of an Hardware-in-the-Loop (HiL) validation platform where software simulations serve as input to Vehicle-to-Everything (V2X) and Advanced Driver Assistance Systems (ADAS) functions running on hardware.
More in detail, it regards the design and simulation of use cases to be used for the validation of V2X and ADAS applications. To this aim, models are created in the adopted traffic simulator (ASM Traffic by dSPACE) and a number of use cases are implemented addressing the Forward Collision Warning (FCW) application as an example.
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RAVIGLIONE, FRANCESCO. "Open Platforms for Connected Vehicles." Doctoral thesis, Politecnico di Torino, 2022. https://hdl.handle.net/11583/2973988.
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Bueno, Diez Miguel Angel [Verfasser], Stefan [Akademischer Betreuer] Lindenmeier, Stefan [Gutachter] Lindenmeier, and Jan [Gutachter] Hesselbarth. "Antenna Systems for Vehicle-to-Everything (V2X) Communication at 5.9 GHz Considering the Vehicle Body / Miguel Angel Bueno Diez ; Gutachter: Stefan Lindenmeier, Jan Hesselbarth ; Akademischer Betreuer: Stefan Lindenmeier ; Universität der Bundeswehr München, Fakultät für Elektrotechnik und Informationstechnik." Neubiberg : Universitätsbibliothek der Universität der Bundeswehr München, 2020. http://d-nb.info/1241842302/34.
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Chetlur, Ravi Vishnu Vardhan. "Stochastic Geometry for Vehicular Networks." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/99954.
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Vehicular communication networks are essential to the development of intelligent navigation systems and improvement of road safety. Unlike most terrestrial networks of today, vehicular networks are characterized by stringent reliability and latency requirements. In order to design efficient networks to meet these requirements, it is important to understand the system-level performance of vehicular networks. Stochastic geometry has recently emerged as a powerful tool for the modeling and analysis of wireless communication networks. However, the canonical spatial models such as the 2D Poisson point process (PPP) does not capture the peculiar spatial layout of vehicular networks, where the locations of vehicular nodes are restricted to roadways. Motivated by this, we consider a doubly stochastic spatial model that captures the spatial coupling between the vehicular nodes and the roads and analyze the performance of vehicular communication networks. We model the spatial layout of roads by a Poisson line process (PLP) and the locations of nodes on each line (road) by a 1D PPP, thereby forming a Cox process driven by a PLP or Poisson line Cox process (PLCP). In this dissertation, we develop the theory of the PLCP and apply it to study key performance metrics such as coverage probability and rate coverage for vehicular networks under different scenarios.
First, we compute the signal-to-interference plus noise ratio (SINR)-based success probability of the typical communication link in a vehicular ad hoc network (VANET). Using this result, we also compute the area spectral efficiency (ASE) of the network. Our results show that the optimum transmission probability that maximizes the ASE of the network obtained for the Cox process differs significantly from that of the conventional 1D and 2D PPP models.
Second, we calculate the signal-to-interference ratio (SIR)-based downlink coverage probability of the typical receiver in a vehicular network for the cellular network model in which each receiver node connects to its closest transmitting node in the network. The conditioning on the serving node imposes constraints on the spatial configuration of interfering nodes and also the underlying distribution of lines. We carefully handle these constraints using various fundamental distance properties of the PLCP and derive the exact expression for the coverage probability.
Third, building further on the above mentioned works, we consider a more complex cellular vehicle-to-everything (C-V2X) communication network in which the vehicular nodes are served by roadside units (RSUs) as well as cellular macro base stations (MBSs). For this setup, we present the downlink coverage analysis of the typical receiver in the presence of shadowing effects. We address the technical challenges induced by the inclusion of shadowing effects by leveraging the asymptotic behavior of the Cox process. These results help us gain useful insights into the behavior of the networks as a function of key network parameters, such as the densities of the nodes and selection bias.
Fourth, we characterize the load on the MBSs due to vehicular users, which is defined as the number of vehicular nodes that are served by the MBS. Since the limited network resources are shared by multiple users in the network, the load distribution is a key indicator of the demand of network resources. We first compute the distribution of the load on MBSs due to vehicular users in a single-tier vehicular network. Building on this, we characterize the load on both MBSs and RSUs in a heterogeneous C-V2X network. Using these results, we also compute the rate coverage of the typical receiver in the network.
Fifth and last, we explore the applications of the PLCP that extend beyond vehicular communications. We derive the exact distribution of the shortest path distance between the typical point and its nearest neighbor in the sense of path distance in a Manhattan Poisson line Cox process (MPLCP), which is a special variant of the PLCP. The analytical framework developed in this work allows us to answer several important questions pertaining to transportation networks, urban planning, and personnel deployment.Doctor of Philosophy
Vehicular communication networks are essential to the development of intelligent transportation systems (ITS) and improving road safety. As the in-vehicle sensors can assess only their immediate environment, vehicular nodes exchange information about critical events, such as accidents and sudden braking, with other vehicles, pedestrians, roadside infrastructure, and cellular base stations in order to make critical decisions in a timely manner. Considering the time-sensitive nature of this information, it is of paramount importance to design efficient communication networks that can support the exchange of this information with reliable and high-speed wireless links. Typically, prior to actual deployment, any design of a wireless network is subject to extensive analysis under various operational scenarios using computer simulations. However, it is not viable to rely entirely on simulations for the system design of highly complex systems, such as the vehicular networks. Hence, it is necessary to develop analytical methods that can complement simulators and also serve as a benchmark. One of the approaches that has gained popularity in the recent years for the modeling and analysis of large-scale wireless networks is the use of tools from stochastic geometry. In this approach, we endow the locations of wireless nodes with some distribution and analyze various aspects of the network by leveraging the properties of the distribution. Traditionally, wireless networks have been studied using simple spatial models in which the wireless nodes can lie anywhere on the domain of interest (often a 1D or a 2D plane). However, vehicular networks have a unique spatial geometry because the locations of vehicular nodes are restricted to roadways. Therefore, in order to model the locations of vehicular nodes in the network, we have to first model the underlying road systems. Further, we should also consider the randomness in the locations of vehicles on each road. So, we consider a doubly stochastic model called Poisson line Cox process (PLCP), in which the spatial layout of roads are modeled by random lines and the locations of vehicles on the roads are modeled by random set of points on these lines. As is usually the case in wireless networks, multiple vehicular nodes and roadside units (RSUs) operate at the same frequency due to the limited availability of radio frequency spectrum, which causes interference. Therefore, any receiver in the network obtains a signal that is a mixture of the desired signal from the intended transmitter and the interfering signals from the other transmitters. The ratio of the power of desired signal to the aggregate power of the interfering signals, which is called as the signal-to-interference ratio (SIR), depends on the locations of the transmitters with respect to the receiver. A receiver in the network is said to be in coverage if the SIR measured at the location of the receiver exceeds the required threshold to successfully decode the message. The probability of occurrence of this event is referred to as the coverage probability and it is one of the fundamental metrics that is used to characterize the performance of a wireless network. In our work, we have analytically characterized the coverage probability of the typical vehicular node in the network. This was the first work to present the coverage analysis of a vehicular network using the aforementioned doubly stochastic model. In addition to coverage probability, we have also explored other performance metrics such as data rate, which is the number of bits that can be successfully communicated per unit time, and spectral efficiency. Our analysis has revealed interesting trends in the coverage probability as a function of key system parameters such as the density of roads in a region (total length of roads per unit area), and the density of vehicles on the roads. We have shown that the vehicular nodes in areas with high density of roads have lower coverage than those in areas with sparsely distributed roads. On the other hand, the coverage probability of a vehicular node improves as the density of vehicles on the roads increases. Such insights are quite useful in the design and deployment of network infrastructure. While our research was primarily focused on communication networks, the utility of the spatial models considered in these works extends to other areas of engineering. For a special variant of the PLCP, we have derived the distribution of the shortest path distance between an arbitrary point and its nearest neighbor in the sense of path distance. The analytical framework developed in this work allows us to answer several important questions pertaining to infrastructure planning and personnel deployment.
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Jin, Yifei. "Feasibility Study of Vehicular Teleoperation over Cellular Network in Urban Scenario." Thesis, KTH, Nätverk och systemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-220444.
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With the continuous progress on autonomous vehicle and remote drivingtechniques, connection quality demands are changing compared withconventional quality of service. Vehicle to everything communication, asthe connectivity basis for these applications, has been built up on LongTerm Evolution basis, but due to various ethical and environmental issues,few implementations have been made in reality. Therefore simulation approachesare believed to provide valuable insights.To fully model an LTE vehicular network, in this work we first providea comparison study to select the preferable LTE simulator. Aimingto integrate communication nodes with mobility, a solution for simulationframework is developed based on a state-of-art comparison study on theexisting simulator frameworks. We then further develop the network simulator,and complement it with hybrid wireless channel modeling, channeland quality of service aware scheduler, and admission control strategies. Interms of instant optimization of the network, real-time access is emulatedfor external devices to communicate with the simulator. In this thesis,the evaluation of the framework performance considers two aspects: theperformance of the simulator in LTE V2X use case and the feasibility ofthe service, specifically, remote driving, under realistic network capacity.For our framework, the results indicate that it is feasible to realize remotedriving in an LTE urban scenario, but, as an example, we show that foran area of Kista, five vehicles could be hold by a base-station with guaranteedservice at most.Med kontinuerliga framstegen p°a autonomt fordon och fj¨arrkontrollteknikf¨or¨andras kravet p°a anslutningskvalitet i j¨amf¨orelse med konventionell servicekvalitet.Fordon till allting (V2X) kommunikation, som anslutningsgrundf¨or dessa applikationer, har byggts upp p°a basis av Long TermEvolution (LTE) system, men p°a grund av olika etiska och milj¨om¨assigaproblem har f°a implementeringar gjorts i verkligheten. D¨arf¨or antas simuleringsmetoderge v¨ardefulla insikter.Att fullt ut modellera ett LTE-fordon n¨atverk, i det h¨ar arbetet ger vif¨orst en j¨amf¨orelsestudie f¨or att v¨alja den f¨oredragna LTE-simulatorn.I syfte att integrera kommunikationsnoder med r¨orlighet utvecklas enl¨osning f¨or ett simuleringsramverk baserat p°a en j¨amf¨orelsestudie p°a befintligasimulatorramar. Vi utvecklar sedan n¨atverkssimulatorn ytterligare,och kompletterar den med hybrid tr°adl¨os kanalmodellering, kanal ochservicekvalitetmedvetna schemal¨aggning och antagningskontrollstrategier.N¨ar det g¨aller direkt n¨atverksoptimering, emuleras realtidsanslutningav externa enheter f¨or att kommunicera med simulatorn. I denna avhandlingutv¨arderas ramverken i tv°a aspekter: simulatorns prestanda i LTEV2X-anv¨andningsomr°adet och genomf¨orbarheten av tj¨ansten, s¨arskilt fj¨arrk¨orning,under realistisk n¨atkapacitet. In v°ara ramverk visar resultaten att det ¨arm¨ojligt att realisera fj¨arrk¨orning i ett LTE-urbana scenario, men som exempelvisar vi att f¨or ett omr°ade i Kista skulle som mest fem fordon kunnask¨otas av en basstation med garanterad service.
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Allouis, Alain. "NOMA-MCM strategies in transmission and reception for advanced vehicular communications in 5G and beyond." Electronic Thesis or Diss., Valenciennes, Université Polytechnique Hauts-de-France, 2024. http://www.theses.fr/2024UPHF0003.
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Le domaine des transports intelligents repose sur une infrastructure robuste de communication véhiculaire, essentielle à la gestion du trafic, à la surveillance des routes, à l'accessibilité à l'Internet des objets (IoT) et aux informations des conducteurs/passagers. Alors que la norme conventionnelle IEEE802.11p a longtemps dominé ce domaine, l'avènement de la 5G et de ses successeurs marque un changement de paradigme.Cette thèse représente une exploration complète des technologies 5G et au-delà spécifiquement adaptées aux exigences uniques de la communication véhicule-à-tout (V2X). L'objectif principal est une analyse méticuleuse de la technologie Non-Orthogonal Multiple Access (NOMA) et des schémas de modulation multiporteuse (MCM) dans le contexte des applications V2X de nouvelle génération. Au cœur de cette exploration se trouve la recherche de stratégies de conception PHY/MAC (couches physique et de contrôle d'accès au support) transversales visant à élever les performances.Le parcours de recherche commence par une vue d'ensemble introductive, plongeant dans le contexte historique et la pertinence des communications V2X, accompagnée d'un examen des diverses exigences des groupes de cas d'utilisation V2X. Ce travail préliminaire combine des connaissances issues d'organisations normatives et des dernières publications, offrant une vue d'ensemble complète du paysage historique de la communication véhiculaire.Ensuite, la thèse navigue dans le paysage contemporain, mettant l'accent sur l'application des technologies 5G aux différents cas d'utilisation V2X. Elle cartographie la relation entre les groupes de cas d'utilisation V2X et les technologies habilitantes tout en explorant l'architecture hiérarchique 5G V2X. Cette exploration fait le lien entre les exigences actuelles de communication, les normes existantes et les directions de recherche ouvertes ainsi que les défis imminents.Le cœur de la thèse tourne autour de l'exploration des implications des schémas NOMA et MCM dans les applications V2X de prochaine génération. La culmination de cette recherche se manifeste dans un paradigme de conception transversale axé sur l'amélioration des performances et de l'adaptabilité des systèmes de communication cellulaires véhiculaires à tout (C-V2X). En disséquant les mécanismes NOMA au sein des couches physique et de contrôle d'accès au support (PHY/MAC), cette étude démontre des améliorations substantielles des performances de débit par rapport aux systèmes d'accès multiple orthogonal (OMA) conventionnels.Les résultats de cette thèse aspirent à contribuer à des solutions avancées pour les futurs systèmes de transport autonomes et connectés, avec un accent spécifique sur l'amélioration des performances des couches physique et d'accès au support dans des scénarios V2X sophistiquésThe realm of intelligent transportation hinges upon robust vehicular communication infrastructure, vital for traffic management, road monitoring, Internet of Things (IoT) accessibility, and driver/passenger information. While the conventional IEEE802.11p standard has long dominated this domain, the advent of 5G and its successors marks a paradigm shift.This thesis represents a comprehensive exploration of 5G and beyond technologies specifically tailored to the unique demands of Vehicle-to-Everything (V2X) communication. The primary aim is a meticulous analysis of Non-Orthogonal Multiple Access (NOMA) technology and Multi-Carrier Modulation (MCM) schemes within the context of next-generation V2X applications. Central to this exploration is the pursuit of cross-layer PHY/MAC (Physical Layer/Medium Access Control) design strategies aimed at elevating performance benchmarks.The research journey begins with an introductory overview, delving into the historical context and relevance of V2X communications, accompanied by an examination of the diverse requirements across V2X use case groups. This foundational groundwork combines insights from normative organizations and the latest literature, providing a comprehensive overview of the historical landscape of vehicular communication.Subsequently, the thesis navigates the contemporary landscape, emphasizing the application of 5G enabling technologies to various V2X use cases. It maps the relationship between V2X Use Case Groups and Enabling Technologies while exploring the Hierarchical 5G V2X high-level architecture. This exploration bridges current communication requirements and existing standards with open research directions and impending challenges.The core of the thesis revolves around the exploration of NOMA and MCM schemes' implications within next-generation V2X applications. The culmination of this research manifests in a cross-layer design paradigm focusing on the enhancement of performance and adaptability within cellular vehicle-to-everything (C-V2X) communication systems. By dissecting NOMA mechanisms within the Physical/Medium Access Control (PHY/MAC) layers, this study demonstrates substantial throughput performance improvements compared to conventional Orthogonal Multiple Access (OMA) systems.The outcomes of this thesis aspire to contribute advanced solutions for future autonomous and connected transport systems, with a specific emphasis on the enhancement of physical and medium access layer performance within sophisticated V2X scenarios
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Nguyen, Bach Long. "Cooperative vehicle-to-everything communications for intelligent transportation system applications." Thesis, 2021. http://hdl.handle.net/1959.13/1460431.
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Research Doctorate - Doctor of Philosophy (PhD)Of vehicle-to-everything (V2X) communications, vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) are the two technological innovations proposed to satisfy the stringent requirements of delay, service continuity and throughput in Intelligent Transportation Systems (ITS) applications, e.g. autonomous vehicle operation and stolen vehicle alert. However, in the standalone V2I networks, the sparse deployment and small coverage range of infrastructure units, e.g. road side units (RSUs), cause frequent service disruptions at requesting vehicles. Meanwhile, stand-alone V2V communications are intermittent and unreliable under high mobility and low vehicle density. Therefore, solutions that effectively combine V2I with V2V communications to meet the ITS application requirements, i.e. low service disruption and high achieved throughput, are called for. Additionally, the number of V2I and V2V links grows considerably when hundreds of vehicles request services at the same time. This leads to the question of how to allocate limited radio resources efficiently to a large number of links in ITS applications. In this study, we develop and evaluate a dynamic cooperative strategy and two scheduling schemes for V2I and V2V communications. The proposed approaches improve network connectivity in the scenarios where only one vehicle or many vehicles request the services simultaneously. To maintain service continuity at a single requesting vehicle, we propose a dynamic forwarder selection to generate an adaptive multi-hop V2I and V2V path between the vehicle and the RSU that it has just passed by. Through an analytical model and extensive simulations using the practical settings of the wireless channel and vehicular mobility, we show that: (i) The proposed scheme is a better choice than existing cooperation solutions in the sparse RSU scenarios; and (ii) A high vehicle density, more assistance willingness by the forwarders and larger buffer size at the requesting vehicle are shown to be beneficial for the proposed dynamic cooperation scheme. To address the issue of insufficient radio resources, we design a frequency scheduling and power control scheme for when multiple vehicles download data via single-hop V2I and V2V communications in an RSU’s coverage range. Mapping the V2I and V2V links to tuple-links, including multiple channel allocation, we formulate a mixed-integer nonlinear programming (MINLP) problem to maximize the number of concurrent tuple-links. To solve the problem, we apply the delayed column generation (DCG) method to propose an algorithm. Our main findings are: (i) This design minimizes service disruptions compared to baseline scheduling approaches; and (ii) The proposed scheme not only improves average achieved throughput but also maintains ii throughput fairness among the requesting vehicles. As the vehicles receive their requested data through multi-hop V2I and V2V paths in the area uncovered by any RSUs, we develop a frequency scheduling and power control scheme for multi-hop communications. Using the specific constraints of multi-hop transmission, we formulate a non-deterministic polynomial-time hard (NP-hard) problem to achieve the maximum number of active tuple-links within a sub-slot duration. Each tuple-link consists of multiple subslot and multiple channel allocations. After we design a DCG-based solution to the problem, our main findings are: (i) The proposed solution improves multi-hop network connectivity more than existing schemes when RSUs are deployed sparsely; and (ii) The efficiency of the proposed scheme can be further significantly enhanced by providing more available channels and equipping the requesting vehicles with a larger buffer size.
Books on the topic "Vehicle-To-Everything (V2X)"
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Chen, Shanzhi, Jinling Hu, Li Zhao, Rui Zhao, Jiayi Fang, Yan Shi, and Hui Xu. Cellular Vehicle-to-Everything (C-V2X). Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-5130-5.
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Hu, Jinling, Li Zhao, Hui Xu, Rui Zhao, and Shanzhi Chen. Cellular Vehicle-To-Everything (C-V2X). Springer, 2022.
Find full textBook chapters on the topic "Vehicle-To-Everything (V2X)"
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Janani, P., Siddhant Verma, S. Natarajan, and Aditya Kumar Sinha. "Automotive Vehicle-to-Everything (V2X) Communication Using IoT." In Information and Communication Technology for Sustainable Development, 195–204. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7166-0_19.
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Janani, P., Siddhant Verma, S. Natrajan, and Aditya Kumar Sinha. "Automotive Vehicle to Everything (V2X) Communication Using IOT." In International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018, 283–91. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03146-6_31.
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Xu, Runsheng, Hao Xiang, Zhengzhong Tu, Xin Xia, Ming-Hsuan Yang, and Jiaqi Ma. "V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer." In Lecture Notes in Computer Science, 107–24. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19842-7_7.
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Al Harthi, Faiza Rashid Ammar, Abderezak Touzene, Nasser Alzeidi, and Faiza Al Salti. "Implications of Augmented Reality Applications for Vehicle-to-Everything (V2X)." In Immersive Virtual and Augmented Reality in Healthcare, 119–43. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003340133-7.
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Gratzer, Alexander L., Alexander Schirrer, Sebastian Thormann, and Stefan Jakubek. "Platoon Control Concepts." In Energy-Efficient and Semi-automated Truck Platooning, 105–20. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-88682-0_8.
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AbstractCooperative platoon control strategies utilise provided information from vehicle-to-everything (V2X) communication to reduce energy consumption and improve traffic flow and safety. In this chapter, a distributed control concept for cooperative platooning is developed that combines trajectory optimisation and local model-predictive control of each vehicle. The presented control architecture ensures collision safety by design, platoon efficiency and situational awareness with the option of exploiting V2X communication. The resulting platoon control performance is tested and validated in a realistic setting by utilising a co-simulation-based validation framework with detailed vehicle dynamics.
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Gratzer, Alexander L., Alexander Schirrer, Sebastian Thormann, and Stefan Jakubek. "Platoon Control Concepts." In Energy-Efficient and Semi-automated Truck Platooning, 105–20. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-88682-0_8.
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AbstractCooperative platoon control strategies utilise provided information from vehicle-to-everything (V2X) communication to reduce energy consumption and improve traffic flow and safety. In this chapter, a distributed control concept for cooperative platooning is developed that combines trajectory optimisation and local model-predictive control of each vehicle. The presented control architecture ensures collision safety by design, platoon efficiency and situational awareness with the option of exploiting V2X communication. The resulting platoon control performance is tested and validated in a realistic setting by utilising a co-simulation-based validation framework with detailed vehicle dynamics.
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Ouaissa, Mariya, Mariyam Ouaissa, Meriem Houmer, Sara El Hamdani, and Zakaria Boulouard. "A Secure Vehicle to Everything (V2X) Communication Model for Intelligent Transportation System." In EAI/Springer Innovations in Communication and Computing, 83–102. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-77185-0_6.
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Avcil, Muhammed Nur, and Mujdat Soyturk. "Data Offloading Approaches for Vehicle-to-Everything (V2X) Communications in 5G and Beyond." In Connected and Autonomous Vehicles in Smart Cities, 259–75. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, LLC, 2021.: CRC Press, 2020. http://dx.doi.org/10.1201/9780429329401-9.
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Farsimadan, Eslam, Francesco Palmieri, Leila Moradi, Dajana Conte, and Beatrice Paternoster. "Vehicle-to-Everything (V2X) Communication Scenarios for Vehicular Ad-hoc Networking (VANET): An Overview." In Computational Science and Its Applications – ICCSA 2021, 15–30. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87010-2_2.
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"Vehicle-to-Everything (V2X)." In Encyclopedia of Wireless Networks, 1443. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-78262-1_300688.
Full textConference papers on the topic "Vehicle-To-Everything (V2X)"
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Jain, Rishu. "V2X (Vehicle to Everything) in India." In 2023 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). IEEE, 2023. http://dx.doi.org/10.1109/conecct57959.2023.10234762.
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Corchero, Cristina, and Manel Sanmarti. "Vehicle- to- Everything (V2X): Benefits and Barriers." In 2018 15th International Conference on the European Energy Market (EEM). IEEE, 2018. http://dx.doi.org/10.1109/eem.2018.8469875.
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Gholam, Mamdouh M., Sherief K. El-Diasty, and Hussein M. ElAttar. "Interference Cancellation for 5G Vehicle-to-Everything (V2X) Communication." In 2022 2nd International Conference on Computers and Automation (CompAuto). IEEE, 2022. http://dx.doi.org/10.1109/compauto55930.2022.00035.
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Galinski, Marek, Jozef Juraško, Peter Trúchly, and Lukáš Šoltés. "Chain Collision Avoidance Using Vehicle-to-Everything (V2X) Communication." In 2023 21st International Conference on Emerging eLearning Technologies and Applications (ICETA). IEEE, 2023. http://dx.doi.org/10.1109/iceta61311.2023.10344085.
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Storck, Carlos R., and Fátima Duarte-Figueiredo. "A 5G Vehicle-to-Everything Ecosystem with Internet of Vehicles based Approaches." In Anais Estendidos do Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/sbrc_estendido.2021.17153.
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The Fifth Generation (5G) cellular network is a good infrastructure option to connect vehicles through the Cellular-based Vehicle-to-Everything (C-V2X) technology. C-V2X aims to provide drivers comfort, road safety, autonomous steering for reliable connections and Advanced Driver Assistance Systems (ADAS). To 5G effectively provide C-V2X communications, there are many questions to answer and many problems to solve. One of them is the absence of an architecture that absorbs and characterizes the vehicles as special things in the Internet. The connectivity continuity guarantees after a handover is a huge problem because the vehicles have high mobility. It raises their handover occurrences as well as failed and unnecessary handovers. The thesis titled "A 5G Vehicle-to-Everything Ecosystem with Internet of Vehicles based Approaches" goals were the characterization of the IoV (Internet of Vehicles) the architecture supported by a 5G network on C-V2X communications, proposition of a 5G V2X ecosystem, the presentation of an user-centered Virtual Cells (V-Cells) selection probabilistic approach, a vehicular handover decision solution based on complex network metrics for 5G Ultra-Dense Network (UDN) and the validation of a structured model as a new 5G service provider facilitator. This thesis proposal and contributions include FiVH (5G Vehicular Handover) a solution that does the virtual cells selection and conformation and deals with the frequent handovers to provide many IoV services, such as on board video entertainment applications. The C-V2X applications can be efficiently supported by the 5G vehicle-to-everything ecosystem IoV communications.
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Chowduri, Suhrit, Shawn Midlam-Mohler, and Karun Prateek Singh. "Design, Prototyping, and Implementation of a Vehicle-to-Infrastructure (V2I) System for Eco-Approach and Departure through Connected and Smart Corridors." In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2024. http://dx.doi.org/10.4271/2024-01-1982.
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<div class="section abstract"><div class="htmlview paragraph">The advent of Vehicle-to-Everything (V2X) communication has revolutionized the automotive industry, particularly with the rise of Advanced Driver Assistance Systems (ADAS). V2X enables vehicles to communicate not only with each other (V2V) but also with infrastructure (V2I) and pedestrians (V2P), enhancing road safety and efficiency. ADAS, which includes features like adaptive cruise control and automatic intersection navigation, relies on V2X data exchange to make real-time decisions and improve driver assistance capabilities. Over the years, the progress of V2X technology has been marked by standardization efforts, increased deployment, and a growing ecosystem of connected vehicles, paving the way for safer and more efficient automated navigation.</div><div class="htmlview paragraph">The EcoCAR Mobility Challenge was a 4-year student competition among 12 universities across the United States and Canada sponsored by the U.S. Department of Energy, MathWorks, and General Motors, where each team received a 2019 Chevrolet Blazer from General Motors and was tasked with achieving SAE Level 2 automation to increase the vehicle’s energy efficiency, performance, and connectivity, among other features. Specifically, teams were challenged to add V2I connectivity, requiring the ability to transmit Basic Safety Messages (BSMs) with real-time vehicle information and receive BSMs from other vehicles and SPaT/MAP (Signal Phase and Timing/Map Data) data from Roadside Units (RSUs). This integration of V2X messages (BSM/SPaT and MAP) in cooperative driving systems enhances overall road safety by providing real-time, detailed information about the conditions and intentions of vehicles, fostering a more secure and efficient transportation ecosystem.</div><div class="htmlview paragraph">The Ohio State University’s EcoCAR’s Connected and Automated Vehicles (CAVs) Sub team was able to implement V2I technology successfully using Cohda Wireless MK5 DSRC (Dedicated Short Range Communication) On-Board Unit (OBU) connected with a Mobilemark MGW-303 antenna, combining two 5.9GHz antennas for DSRC with an active GNSS antenna.</div></div>
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Khezri, Rahmat, David Steen, and Le Anh Tuan. "Vehicle to Everything (V2X) - A Survey on Standards and Operational Strategies." In 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE, 2022. http://dx.doi.org/10.1109/eeeic/icpseurope54979.2022.9854561.
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Palacios, David, Emil J. Khatib, Istvan Kovacs, Beatriz Soret, Isabel De-La-Bandera, and Raquel Barco. "Dynamic Multipath Connection for Low-Latency Vehicle- to-Everything (V2X) Communications." In 2018 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). IEEE, 2018. http://dx.doi.org/10.1109/bmsb.2018.8436680.
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AbdelAzeem, Mohamed, and Mona Helmy. "Enhancing Security of Vehicle-To-Everything Communication (V2X) in AUTOSAR Architecture." In 2023 International Telecommunications Conference (ITC-Egypt). IEEE, 2023. http://dx.doi.org/10.1109/itc-egypt58155.2023.10206114.
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Jayatunga, Eranda, Avishek Nag, and Anca Delia Jurcut. "Security Requirements for Vehicle-to-Everything (V2X) Communications Integrated with Blockchain." In 2022 Fourth International Conference on Blockchain Computing and Applications (BCCA). IEEE, 2022. http://dx.doi.org/10.1109/bcca55292.2022.9922372.
Full textReports on the topic "Vehicle-To-Everything (V2X)"
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Taiber, Joachim. Unsettled Topics Concerning the Impact of Quantum Technologies on Automotive Cybersecurity. SAE International, December 2020. http://dx.doi.org/10.4271/epr2020026.
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Quantum computing is considered the “next big thing” when it comes to solving computational problems impossible to tackle using conventional computers. However, a major concern is that quantum computers could be used to crack current cryptographic schemes designed to withstand traditional cyberattacks. This threat also impacts future automated vehicles as they become embedded in a vehicle-to-everything (V2X) ecosystem. In this scenario, encrypted data is transmitted between a complex network of cloud-based data servers, vehicle-based data servers, and vehicle sensors and controllers. While the vehicle hardware ages, the software enabling V2X interactions will be updated multiple times. It is essential to make the V2X ecosystem quantum-safe through use of “post-quantum cryptography” as well other applicable quantum technologies. This SAE EDGE™ Research Report considers the following three areas to be unsettled questions in the V2X ecosystem: How soon will quantum computing pose a threat to connected and automated vehicle technologies? What steps and measures are needed to make a V2X ecosystem “quantum-safe?” What standardization is needed to ensure that quantum technologies do not pose an unacceptable risk from an automotive cybersecurity perspective?