Relevant bibliographies by topics / Vehicle to Infrastructure Communication

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Vehicle to Infrastructure Communication'

Author: Grafiati
Published: 4 June 2025
Last updated: 23 June 2025

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Journal articles on the topic "Vehicle to Infrastructure Communication"

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Suresh, Sureddi. "Advancements in V2X Communication: Enhancing Vehicle-to-Vehicle, Vehicle-to-Pedestrian, and Vehicle-to-Infrastructure Connectivity"." International Journal on Science and Technology 14, no. 4 (2023): 1–8. https://doi.org/10.5281/zenodo.14474489.

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The automotive industry is transforming rapidly with the evolution of 5G, cloud computing, connected and autonomous vehicles, and artificialintelligence. Wireless communication plays a significant role in this industry transformation with continuously evolving V2X (Vehicle-to-everything) communication technologies. V2X in general is referred to as Vehicle-to-Vehicle (V2V), Vehicle-to-Pedestrian (V2P), V2I (Vehicle-to-Infrastructure), V2N (Vehicle-to-Network) communication and so on.Safety and congestion, two of the major issues in transport, are the best examples, to which the vehicular communication has started to have an influence. These V2Xcommunications provide traffic efficiency, driving safety, and road information in real-time.This paper briefly highlights the evolution of V2X communications, starting from DSRC to 5G NR V2X, and compares different types of wireless communication for vehicle communications. It also provides a list of applications that use V2X. It also briefly highlights the security concerns involved with these V2X communications and the mitigation plans being studied by academia and industry.
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REYES, A., C. BARRADO, and A. GUERRERO. "COMMUNICATION TECHNOLOGIES TO DESIGN VEHICLE-TO VEHICLE AND VEHICLE-TO-INFRASTRUCTURES APPLICATIONS." Latin American Applied Research - An international journal 46, no. 1 (2016): 29–35. http://dx.doi.org/10.52292/j.laar.2016.323.

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Intelligent Transport Systems use communication technologies to offer real-time traffic information services to road users and government managers. Vehicular Ad Hoc Networks is an important component of ITS where vehicles communicate with other vehicles and road-side infrastructures, analyze and process received information, and make decisions according to that. However, features like high vehicle speeds, constant mobility, varying topology, traffic density, etc. induce challenges that make conventional wireless technologies unsuitable for vehicular networks. This paper focuses on the process of designing efficient vehicle-to-vehicle and vehicle-to road-side infrastructure applications.
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Arena, Fabio, and Giovanni Pau. "An Overview of Vehicular Communications." Future Internet 11, no. 2 (2019): 27. http://dx.doi.org/10.3390/fi11020027.

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The transport sector is commonly subordinate to several issues, such as traffic congestion and accidents. Despite this, in recent years, it is also evolving with regard to cooperation between vehicles. The fundamental objective of this trend is to increase road safety, attempting to anticipate the circumstances of potential danger. Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I) and Vehicle-to-Everything (V2X) technologies strive to give communication models that can be employed by vehicles in different application contexts. The resulting infrastructure is an ad-hoc mesh network whose nodes are not only vehicles but also all mobile devices equipped with wireless modules. The interaction between the multiple connected entities consists of information exchange through the adoption of suitable communication protocols. The main aim of the review carried out in this paper is to examine and assess the most relevant systems, applications, and communication protocols that will distinguish the future road infrastructures used by vehicles. The results of the investigation reveal the real benefits that technological cooperation can involve in road safety.
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Santa, Jose, Gómez Antonio Skarmeta, and Marc Sanchez-Artigas. "Architecture and evaluation of a unified V2V and V2I communication system based on cellular networks." Computer Communications 31, no. 12 (2008): 2850–61. https://doi.org/10.1016/j.comcom.2007.12.008.

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Vehicle communications are becoming the cornerstone in the future vehicle equipment. More specifically, vehicle to vehicle communications (V2V) are the main object of researching nowadays, because vehicle to infrastructure (V2I) approximations are already being developed as commercial solutions. Cellular networks (CN) are usually applied in V2I solutions, whereas ad hoc networks are practically the only technology considered in V2V communications. Due to fact that CN are currently a reality and the operators are continuously improving the network, this communication technology could be considered as a candidate to deal with V2V necessities as well. The present paper defends the applicability of CN in the V2V field, and presents a novel communication paradigm for vehicles which unifies both V2V and V2I paradigms into one system. A peer to peer network technology has been used over the CN basis to create a group-based communication infrastructure which enables the message propagation among vehicles and between the car and the road side infrastructure. The architecture has been implemented in both hardware and software terms, and multitude of field tests have been carried out, whose main performance results are shown in the paper.
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Vieira, M. A., M. Vieira, P. Louro, P. Vieira, and A. Fantoni. "Vehicular Visible Light Communication for Intersection Management." Signals 4, no. 2 (2023): 457–77. http://dx.doi.org/10.3390/signals4020024.

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An innovative treatment for congested urban road networks is the split intersection. Here, a congested two-way–two-way traffic light-controlled intersection is transformed into two lighter intersections. By reducing conflict points and improving travel time, it facilitates smoother flow with less driver delay. We propose a visible light communication system based on Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I) and Infrastructure-to-Vehicle (I2V) communications able to safely manage vehicles crossing through an intersection, leveraging Edge of Things (EoT) facilities. Headlights, street lamps, and traffic signals are used by connected vehicles to communicate with one another and with infrastructure. Through internally installed Driver Agents, an Intersection Manager coordinates traffic flow and interacts with vehicles. For the safe passage of vehicles across intersections, request/response mechanisms and time and space relative pose concepts are used. A virtual scenario is proposed, and a “mesh/cellular” hybrid architecture used. Light signals are emitted by transmitters by encoding, modulating, and converting data. Optical sensors with light-filtering properties are used as receivers and decoders. The VLC request/response concept uplink and downlink communication between the infrastructure and the vehicles is tested. Based on the results, the short-range mesh network provides a secure communication path between street lamp controllers and edge computers through neighbor traffic light controllers that have active cellular connections, as well as peer-to-peer communication, allowing V-VLC ready cars to exchange information.
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Santa, Jose, Pedro J. Fernandez, Fernando Pereñiguez, Fernando Bernal, Antonio Moragon, and Gómez Antonio Skarmeta. "IPv6 Communication Stack for Deploying Cooperative Vehicular Services." International Journal of Intelligent Transportation Systems Research 12 (November 1, 2013): 48–60. https://doi.org/10.1007/s13177-013-0068-6.

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New-age cooperative services for vehicles involve communication nodes in nomadic devices, vehicles, roads and central stations. However, as the number of vehicular services hosted in both the vehicle and infrastructure side increase, it is more and more necessary to use a proper framework to deploy them effectively using a common interconnection network. Following the ISO/ETSI recommendations, which provide a reference ITS communication architecture, the current work provides an implementation, deployment and experimental assessment of a vehicular communications stack for providing infrastructure-to-vehicle services. The architecture presented in this paper considers open issues such as communications security, the support of geo-referenced facilities, the need of a service deployment framework in vehicles and central stations, and the management of host software.
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Sujatha, S. "Vehicle Obstacles Avoidance Using Vehicle- To Infrastructure Communication." IOSR Journal of Computer Engineering 6, no. 4 (2012): 26–32. http://dx.doi.org/10.9790/0661-0642632.

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Hu, Jia, Yunli Shao, Zongxuan Sun, and Joe Bared. "Integrated vehicle and powertrain optimization for passenger vehicles with vehicle-infrastructure communication." Transportation Research Part C: Emerging Technologies 79 (June 2017): 85–102. http://dx.doi.org/10.1016/j.trc.2017.03.010.

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Narasimhareddy, A. S., Gowda K. R. Ventatesh, and P. Madhumathy. "OWC-Based for Communication Autonomous Vehicles." Journal of Sensor Research and Technologies 7, no. 1 (2025): 11–22. https://doi.org/10.5281/zenodo.14791974.

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<em>Optical Wireless Communication (OWC) has emerged as a promising technology for enabling high-speed, secure, and reliable communication for autonomous vehicles. This paper investigates the application of OWC, specifically Visible Light Communication (VLC) and Free Space Optical (FSO) systems, in vehicular environments. Key contributions include the development of a communication model leveraging OWC to support vehicle-to-vehicle (V2V) and vehicle-to- infrastructure (V2I) communications. The study also evaluates the system's performance under various environmental conditions and proposes methods to mitigate challenges such as interference and atmospheric attenuation.</em>
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Thanh Chi Phan and Prabhdeep Singh. "A Recent Connected Vehicle - IoT Automotive Application Based on Communication Technology." International Journal of Data Informatics and Intelligent Computing 2, no. 4 (2023): 40–51. http://dx.doi.org/10.59461/ijdiic.v2i4.88.

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Realizing the full potential of vehicle communications depends in large part on the infrastructure of vehicular networks. As more cars are connected to the Internet and one another, new technological advancements are being driven by a multidisciplinary approach. As transportation networks become more complicated, academic, and automotive researchers collaborate to offer their thoughts and answers. They also imagine various applications to enhance mobility and the driving experience. Due to the requirement for low latency, faster throughput, and increased reliability, wireless access technologies and an appropriate (potentially dedicated) infrastructure present substantial hurdles to communication systems. This article provides a comprehensive overview of the wireless access technologies, deployment, and connected car infrastructures that enable vehicular connectivity. The challenges, issues, services, and maintenance of connected vehicles that rely on infrastructure-based vehicular communications are also identified in this paper.
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Dissertations / Theses on the topic "Vehicle to Infrastructure Communication"

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He, Qing. "Robust-Intelligent Traffic Signal Control within a Vehicle-to-Infrastructure and Vehicle-to-Vehicle Communication Environment." Diss., The University of Arizona, 2010. http://hdl.handle.net/10150/196011.

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Modern traffic signal control systems have not changed significantly in the past 40-50 years. The most widely applied traffic signal control systems are still time-of-day, coordinated-actuated system, since many existing advanced adaptive signal control systems are too complicated and fathomless for most of people. Recent advances in communications standards and technologies provide the basis for significant improvements in traffic signal control capabilities. In the United States, the IntelliDriveSM program (originally called Vehicle Infrastructure Integration - VII) has identified 5.9GHz Digital Short Range Communications (DSRC) as the primary communications mode for vehicle-to-vehicle (v2v) and vehicle-to-infrastructure (v2i) safety based applications, denoted as v2x. The ability for vehicles and the infrastructure to communication information is a significant advance over the current system capability of point presence and passage detection that is used in traffic control systems. Given enriched data from IntelliDriveSM, the problem of traffic control can be solved in an innovative data-driven and mathematical way to produce robust and optimal outputs.In this doctoral research, three different problems within a v2x environment- "enhanced pseudo-lane-level vehicle positioning", "robust coordinated-actuated multiple priority control", and "multimodal platoon-based arterial traffic signal control", are addressed with statistical techniques and mathematical programming.First, a pseudo-lane-level GPS positioning system is proposed based on an IntelliDriveSM v2x environment. GPS errors can be categorized into common-mode errors and noncommon-mode errors, where common-mode errors can be mitigated by differential GPS (DGPS) but noncommon-mode cannot. Common-mode GPS errors are cancelled using differential corrections broadcast from the road-side equipment (RSE). With v2i communication, a high fidelity roadway layout map (called MAP in the SAE J2735 standard) and satellite pseudo-range corrections are broadcast by the RSE. To enhance and correct lane level positioning of a vehicle, a statistical process control approach is used to detect significant vehicle driving events such as turning at an intersection or lane-changing. Whenever a turn event is detected, a mathematical program is solved to estimate and update the GPS noncommon-mode errors. Overall the GPS errors are reduced by corrections to both common-mode and noncommon-mode errors.Second, an analytical mathematical model, a mixed-integer linear program (MILP), is developed to provide robust real-time multiple priority control, assuming penetration of IntelliDriveSM is limited to emergency vehicles and transit vehicles. This is believed to be the first mathematical formulation which accommodates advanced features of modern traffic controllers, such as green extension and vehicle actuations, to provide flexibility in implementation of optimal signal plans. Signal coordination between adjacent signals is addressed by virtual coordination requests which behave significantly different than the current coordination control in a coordinated-actuated controller. The proposed new coordination method can handle both priority and coordination together to reduce and balance delays for buses and automobiles with real-time optimized solutions.The robust multiple priority control problem was simplified as a polynomial cut problem with some reasonable assumptions and applied on a real-world intersection at Southern Ave. & 67 Ave. in Phoenix, AZ on February 22, 2010 and March 10, 2010. The roadside equipment (RSE) was installed in the traffic signal control cabinet and connected with a live traffic signal controller via Ethernet. With the support of Maricopa County's Regional Emergency Action Coordinating (REACT) team, three REACT vehicles were equipped with onboard equipments (OBE). Different priority scenarios were tested including concurrent requests, conflicting requests, and mixed requests. The experiments showed that the traffic controller was able to perform desirably under each scenario.Finally, a unified platoon-based mathematical formulation called PAMSCOD is presented to perform online arterial (network) traffic signal control while considering multiple travel modes in the IntelliDriveSM environment with high market penetration, including passenger vehicles. First, a hierarchical platoon recognition algorithm is proposed to identify platoons in real-time. This algorithm can output the number of platoons approaching each intersection. Second, a mixed-integer linear program (MILP) is solved to determine the future optimal signal plans based on the real-time platoon data (and the platoon request for service) and current traffic controller status. Deviating from the traditional common network cycle length, PAMSCOD aims to provide multi-modal dynamical progression (MDP) on the arterial based on the real-time platoon information. The integer feasible solution region is enhanced in order to reduce the solution times by assuming a first-come, first-serve discipline for the platoon requests on the same approach. Microscopic online simulation in VISSIM shows that PAMSCOD can easily handle two traffic modes including buses and automobiles jointly and significantly reduce delays for both modes, compared with SYNCHRO optimized plans.
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Shooshtary, Samaneh. "Development of a MATLAB Simulation Environment for Vehicle-to-Vehicle and Infrastructure Communication Based on IEEE 802.11p." Thesis, University of Gävle, Department of Technology and Built Environment, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-3463.

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<p>This thesis describes the simulation of the proposed IEEE 802.11p Physical layer (PHY). A MATLAB simulation is carried out in order to analyze baseband processing of the transceiver. Orthogonal Frequency Division Multiplexing (OFDM) is applied in this project according to the IEEE 802.11p standard, which allows transmission data rates from 3 up to 27Mbps. Distinct modulation schemes, Binary Phase Shift Keying (BPSK), Quadrate Phase Shift Keying (QPSK) and Quadrature Amplitude modulation (QAM), are used according to differing data rates. These schemes are combined with time interleaving and a convolutional error correcting code. A guard interval is inserted at the beginning of the transmitted symbol in order to reduce the effect of Intersymbol Interference (ISI). The Viterbi decoder is used for decoding the received signal. Simulation results illustrate the Bit Error Rate (BER), Packet Error Rate (PER) for different channels. Different channel implementations are used for the simulations. In addition a ray-tracing based software tool for modelling time variant vehicular channels is integrated into SIMULINK. BER versus Signal to Noise Ratio (SNR) statistics are as the basic reference for the physical layer of the IEEE 802.11p standard for all vehicular wireless network simulations.</p>
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Westrick, Michael A. "Compact Wire Antenna Array for Dedicated Short-Range Communications: Vehicle to Vehicle and Vehicle to Infrastructure Communications." University of Toledo / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1345081406.

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Dodsworth, Joel Andrew. "The application of vehicle classification, vehicle-to-infrastructure communication and a car-following model to single intersection traffic signal control." Thesis, University of Leeds, 2018. http://etheses.whiterose.ac.uk/22741/.

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On-line responsive traffic signal optimization strategies most commonly use data received from loop detectors to feed information into an underlying traffic model. The limited data available from conventional detection systems has dictated the way that current 'state-of-the-art' traffic signal control systems have been developed. Such systems tend to consider traffic as having homogenous properties to avoid the requirement for more detailed knowledge of individual vehicle properties. However, a consequence of this simplification is to limit an optimizer in achieving its objectives. The first element of this study investigates whether additional data regarding vehicle type can be reliably extracted from conventional detection to improve optimizer performance using existing infrastructure. A single detector classification algorithm is developed and it is shown that, using a modification of an existing state-of-the-art optimization method, a modest improvement in performance can be achieved. The emergence of connected vehicle technology and, in particular, Vehicle-to-Infrastructure (V2I) communications promises more comprehensive data. V2I-based optimization methods proposed in literature require a minimum penetration rate of V2I equipped vehicles before performance matches existing systems. To address this problem, the second part of the study focuses on the development of a hybrid detection model that is capable of simultaneously using information from conventional and V2I detection. It is demonstrated that the hybrid detection model can begin to realise benefits as soon as V2I data becomes available. V2I-based vehicle classification is then applied to the developed hybrid model and significant benefits are demonstrated for HGVs. The final section of the thesis introduces the use of a more sophisticated internal traffic model and a new optimization method is developed to implement it. The car-following model based optimization method addresses the lack of modelled interaction between vehicles and is shown to be capable of reducing vehicle stops over and above the developed (vertical queue based) hybrid model.
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Agrawal, Manas. "Leveraging Vehicle-to-Infrastructure Communications for Adaptive Traffic Signaling and Better Energy Utilization." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1372785316.

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Shil, Manash. "Designing and simulating a Car2X communication system using the example of an intelligent traffic sign." Master's thesis, Universitätsbibliothek Chemnitz, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-161679.

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The thesis with the title “Designing and simulating a Car2X communication system using the example of an intelligent traffic sign” has been done in Chemnitz University of Technology in the faculty of Computer Science. The purpose of this thesis is to define a layered architecture for Infrastructure to Vehicle (I2V) communication and the implementation of a sample intelligent traffic sign (variable speed limit) application for a Car2X communication system. The layered architecture of this thesis is defined based on three related projects. The application is implemented using the defined layered architecture. Considering the availability of hardware, the implementation is done using the network simulator OMNET++. To check the feasibility of the application three scenarios are created and integrated with the application. The evaluation is done based on the result log files of the simulation which show that the achieved results conform with the expected results, except some minor limitations.
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Sonklin, Kachane. "Studies of communication and positioning performance of connected vehicles for safety applications." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/207089/1/Kachane_Sonklin_Thesis.pdf.

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Connected vehicles for safety applications play a significant role on reduction of the risks of road accidents. However, the performance of communication and positioning approaches is a major concern. This thesis establishes a connectivity framework based on publish-subscribe architecture for high-timeliness vehicle-to-vehicle data exchanges and determines the performance requirements for precise vehicle positioning for various safety use cases. Extensive experimental results demonstrated the performance benefits of the communication and positioning solutions for vehicle safety applications.
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Walker, Jonathan Bearnarr. "An Empirical Method of Ascertaining the Null Points from a Dedicated Short-Range Communication (DSRC) Roadside Unit (RSU) at a Highway On/Off-Ramp." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/85151.

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The deployment of dedicated short-range communications (DSRC) roadside units (RSUs) allows a connected or automated vehicle to acquire information from the surrounding environment using vehicle-to-infrastructure (V2I) communication. However, wireless communication using DSRC has shown to exhibit null points, at repeatable distances. The null points are significant and there was unexpected loss in the wireless signal strength along the pathway of the V2I communication. If the wireless connection is poor or non-existent, the V2I safety application will not obtain sufficient data to perform the operation services. In other words, a poor wireless connection between a vehicle and infrastructure (e.g., RSU) could hamper the performance of a safety application. For example, a designer of a V2I safety application may require a minimum rate of data (or packet count) over 1,000 meters to effectively implement a Reduced Speed/Work Zone Warning (RSZW) application. The RSZW safety application is aimed to alert or warn drivers, in a Cooperative Adaptive Cruise Control (CACC) platoon, who are approaching a work zone. Therefore, the packet counts and/or signal strength threshold criterion must be determined by the developer of the V2I safety application. Thus, we selected an arbitrary criterion to develop an empirical method of ascertaining the null points from a DSRC RSU. The research motivation focuses on developing an empirical method of calculating the null points of a DSRC RSU for V2I communication at a highway on/off-ramp. The intent is to improve safety, mobility, and environmental applications since a map of the null points can be plotted against the distance between the DSRC RSU and a vehicle's onboard unit (OBU). The main research question asks: 'What is a more robust empirical method, compared to the horizontal and vertical laws of reflection formula, in determining the null points from a DSRC RSU on a highway on/off ramp?' The research objectives are as follows: 1. Explain where and why null points occur from a DSRC RSU (Chapter 2) 2. Apply the existing horizontal and vertical polarization model and discuss the limitations of the model in a real-world scenario for a DSRC RSU on a highway on/off ramp (Chapter 3 and Appendix A) 3. Introduce an extended horizontal and vertical polarization null point model using empirical data (Chapter 4) 4. Discuss the conclusion, limitations of work, and future research (Chapter 5). The simplest manner to understand where and why null points occur is depicted as two sinusoidal waves: direct and reflective waves (i.e., also known as a two-ray model). The null points for a DSRC RSU occurs because the direct and reflective waves produce a destructive interference (i.e., decrease in signal strength) when they collide. Moreover, the null points can be located using Pythagorean theorem for the direct and reflective waves. Two existing models were leveraged to analyze null points: 1) signal strength loss (i.e., a free space path loss model, or FSPL, in Appendix A) and 2) the existing horizontal and vertical polarization null points from a DSRC RSU. Using empirical data from two different field tests, the existing horizontal and vertical polarization null point model was shown to contain limitations in short distances from the DSRC RSU. Moreover, the existing horizontal and vertical polarization model for null points was extremely challenging to replicate with over 15 DSRC RSU data sets. After calculating the null point for several DSRC RSU heights, the paper noticed a limitation of the existing horizontal and vertical polarization null point model with over 15 DSRC RSU data sets (i.e., the model does not account for null points along the full length of the FSPL model). An extended horizontal and vertical polarization model is proposed that calculates the null point from a DSRC RSU. There are 18 model comparisons of the packet counts and signal strengths at various thresholds as perspective extended horizontal and vertical polarization models. This paper compares the predictive ability of 18 models and measures the fit. Finally, a predication graph is depicted with the neural network's probability profile for packet counts =1 when greater than or equal to 377. Likewise, a python script is provided of the extended horizontal and vertical polarization model in Appendix C. Consequently, the neural network model was applied to 10 different DSRC RSU data sets at 10 unique locations around a circular test track with packet counts ranging from 0 to 11. Neural network models were generated for 10 DSRC RSUs using three thresholds with an objective to compare the predictive ability of each model and measure the fit. Based on 30 models at 10 unique locations, the highest misclassification was 0.1248, while the lowest misclassification was 0.000. There were six RSUs mounted at 3.048 (or 10 feet) from the ground with a misclassification rate that ranged from 0.1248 to 0.0553. Out of 18 models, seven had a misclassification rate greater than 0.110, while the remaining misclassification rates were less than 0.0993. There were four RSUs mounted at 6.096 meters (or 20 feet) from the ground with a misclassification rate that ranged from 0.919 to 0.000. Out of 12 models, four had a misclassification rate greater than 0.0590, while the remaining misclassification rates were less than 0.0412. Finally, there are two major limitations in the research: 1) the most effective key parameter is packet counts, which often require expensive data acquisition equipment to obtain the information and 2) the categorical type (i.e., decision tree, logistic regression, and neural network) will vary based on the packet counts or signal strength threshold that is dictated by the threshold criterion. There are at least two future research areas that correspond to this body of work: 1) there is a need to leverage the extended horizontal and vertical polarization null point model on multiple DSRC RSUs along a highway on/off ramp, and 2) there is a need to apply and validate different electric and magnetic (or propagation) models.<br>Ph. D.
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Yan, Fei. "Contribution à la modélisation et à la régulation du trafic aux intersections : intégration des communications Vehicule-Infrastructure." Phd thesis, Université de Technologie de Belfort-Montbeliard, 2012. http://tel.archives-ouvertes.fr/tel-00720641.

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Dans ce mémoire de thèse, nous avons étudié le problème de régulation du trafic en considérant les nouvelles technologies dans le cadre des Systèmes de Transport Intelligent (STI). Une nouvelle stratégie de contrôle est introduite afin d'exploiter le potentiel des infrastructures de la circulation à un niveau maximum. Plus précisément, basée sur la technologie VII " Intégration Véhicule-Infrastructure ", l'infrastructure routière aux carrefours (considérée aussi comme contrôleur) peut communiquer avec les véhicules autonomes qui arrivent à un carrefour de manière continue. Les données importantes sur les véhicules telles que la vitesse, la position et la destination sont alors reçues par des capteurs avancés et envoyées au contrôleur en temps réel. Par conséquent, il est possible d'élaborer une stratégie de contrôle du trafic en considérant chaque véhicule comme une entité indépendante. En d'autres termes, le droit de passage est attribué à chaque véhicule en fonction de son état et en fonction de l'état global du trafic au carrefour. Seuls les véhicules qui ont reçu le droit de passage peuvent traverser le carrefour. Le contrôle du trafic au niveau d'un carrefour vise donc à déterminer les séquences de passage des véhicules, c'est-à-dire les séquences de distribution des droits de passage.Cependant, la plus grande difficulté pour appliquer cette nouvelle stratégie est la contradiction entre l'optimisation des séquences de passages des véhicules et la complexité temporelle. Pour résoudre cette contradiction, nous avons d'abord formulé mathématiquement la problématique de régulation et nous avons ensuite étudié sa complexité. Nous avons prouvé dans un premier temps que le problème de régulation du trafic formulé à l'intersection isolée est NP-hard sous certaines conditions (nombre arbitraire de groupes de flux compatibles GFC,...) et ceci en se basant sur la réduction au problème de 3-Partition. Dans un deuxième temps, nous avons appliqué les méthodes de résolutions exactes sur un carrefour isolé pour proposer des algorithmes exacts (Branch and Bound et Programmation dynamique) permettant de trouver une séquence de passage optimale. Plusieurs propriétés du problème ont été introduites et prouvées et ceci afin qu'elles soient exploitées par ces algorithmes. Ces propriétés ont pour objectif de réduire considérablement l'espace de recherche et par conséquent le temps d'exécution de ces algorithmes exacts.Par ailleurs, nous n'avons pas limité nos recherches sur des carrefours isolées mais nous avons appliqué l'approche de contrôle proposée sur un réseau de carrefours tout en considérant un seul contrôleur. Cependant, un algorithme exact appliqué sur plusieurs carrefours ne peut pas être assez rapide surtout lorsqu'on a besoin de communiquer presque instantanément des informations aux véhicules (en temps réel). Nous avons proposé donc des méthodes de résolutions approchées afin de trouver en un temps raisonnable une séquence de passage satisfaisante pour chaque carrefour. Ces algorithmes (Algorithmes génétiques) ont en effet, besoin de moins de temps de calcul tout en assurant une bonne qualité de solution.Enfin, nous illustrons la mise en œuvre des déférentes approches proposées à travers des résultats de simulation afin d'évaluer leurs performances.
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Vaz, Francisco José Pires. "VNMS: vehicular network messaging system." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/21232.

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Mestrado em Engenharia de Computadores e Telemática<br>Com conceitos como a internet das coisas a surgir e a tornarem-se cada vez mais populares, criar ligações entre veículos foi apenas um próximo passo lógico, formando assim as redes ad hoc veiculares. Estas redes são um caso particular das redes móveis ad hoc, nas quais os veículos se ligam uns aos outros de uma forma espontânea. Acrescentar aos veículos a capacidade de comunicarem uns com os outros faz surgir uma abundância de possibilidades. Contudo, atualmente já existem diversas aplicações que fazem uso destas redes; no entanto, a maioria destas aplicações estão mais diretamente relacionadas com a ccomunicação entre veículo e não entre utilizadores. Soluções como o REINVENT fornecem a capacidade de expedir mensagens através de uma VANET utilizando smartphones, contudo falta-lhe uma camada lógica capaz de suportar a expedição de mensagens de utilizador para utilizador. A nossa contribuição, o Sistema de Mensagens para Redes Veiculares (VNMS), permite a troca de mensagens entre utilizadores numa VANET. Com a implantação de um quadro de avisos virtual nos nós da VANET, com uma camada de reencaminhamento de mensagens e um naming service, fornece aos utilizadores a capacidade de trocarem mensagens entre si sem a necessidade de informação ou serviços da VANET. Os nós do VNMS atuam como agregadores de mensagens, providenciando repositórios locais de mensagens de utilizadores e reencaminhamento sobre a rede para o utilizador alvo, i.e., o nó ao qual o utilizador está ligado. Na perspetiva do utilizador, este pode usar os serviços do VNMS de uma forma transparente através de uma aplicação Android – foi criada uma aplicação de chat que usa a VANET como prova de conceito.<br>With concepts like the internet of things currently cropping up and getting more popular, connecting vehicles with each other was just a logical step, originating the vehicular ad-hoc networks (VANETs). VANETs are a particular case of Mobile ad-hoc networks (MANETs) in which vehicles connect with other vehicles in ad-hoc mode and evolving topologies. By enhancing vehicles with the ability to communicate with each other, an abundance of capabilities arises. However, currently most applications using VANETs are focused on the vehicle to vehicle communications, and not on vehicles users, either drivers or passengers. Previous work like REINVENT provided a solution capable of dispatching messages through VANETs using standard smartphones; however, it lacked a logical layer to support user to user logical message brokering. Our contribution, the Vehicular Network Messaging System (VNMS), allows user to user message exchange on VANET. By deploying virtual bulletin boards (VBBs) in VANETs nodes, a layer of message forwarding, and user naming service, it provides users the ability to exchange messages without the explicit need of any VANETs specific information or service. VNMS nodes act as brokers for user messages, providing local user message repositories and VANETs routing to targeted user(s) i.e. its VANET node. From the user perspective, it is possible to use VNMS services transparently using Android mobile application – we implemented a VANETs enabled chat application as proof of concept.
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Books on the topic "Vehicle to Infrastructure Communication"

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Capps, Gary. Wireless roadside inspection proof-of-concept test. U.S. Dept. of Transportation, Federal Motor Carrier Safety Administration, 2009.

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1967-, Smith Brian L., McGhee Catherine C, Virginia Transportation Research Council, Virginia. Dept. of Transportation., and University of Virginia. Center for Transportation Studies., eds. Preparing to use vehicle infrastructure integration in transportation operations: Phase I. Virginia Transportation Research Council, 2007.

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United States. Dept. of Transportation., ed. Operation TimeSaver: Building the intelligent transportation infrastructure. U.S. Dept. of Transportation, 1995.

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United States. Dept. of Transportation, ed. Operation TimeSaver: Building the intelligent transportation infrastructure. U.S. Dept. of Transportation, 1995.

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Systems, Intelligent Transportation, ed. Intelligent Transportation Systems infrastructure initiative. Intelligent Transportation Systems, Joint Program Office, U.S. Dept. of Transportation, 1997.

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Transit, United States Congress House Committee on Transportation and Infrastructure Subcommittee on Highways and. Intelligent transportation systems: Hearing before the Subcommittee on Highways and Transportation [i.e. Transit] of the Committee on Transportation and Infrastructure, House of Representatives, One Hundred Seventh Congress, second session, September 10, 2002. U.S. G.P.O., 2002.

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SAE Automobile Body Activity (Organization). Passenger Protection Committee., ed. Vehicle highway infrastructure: Safety compatability. Society of Automotive Engineers, 1987.

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Lupini, Christopher A. Vehicle Multiplex Communication. SAE International, 2004. http://dx.doi.org/10.4271/r-340.

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McLaughlin, Richard T. In-vehicle communication networks. typescript, 1993.

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Mehta, Axaykumar, Abhishek Rawat, and Priyesh Chauhan, eds. Recent Advances in Communication Infrastructure. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0974-2.

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Book chapters on the topic "Vehicle to Infrastructure Communication"

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I. Meneguette, Rodolfo, Robson E. De Grande, and Antonio A. F. Loureiro. "Vehicle-to-Infrastructure Communication." In Urban Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93332-0_4.

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Gosse, Karine, David Bateman, Christophe Janneteau, et al. "Standardization of Vehicle-to-Infrastructure Communication." In Vehicular Networking. John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470661314.ch8.

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Rajab, Samer. "Vehicle to Infrastructure Communications." In Wireless Networks. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94785-3_6.

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Tokarz, Krzysztof. "A Review on the Vehicle to Vehicle and Vehicle to Infrastructure Communication." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31964-9_5.

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Kumari, Ashish, Shailender Kumar, and Ram Shringar Raw. "Investigating the Reliability of Vehicle-to-Vehicle and Vehicle-to-Infrastructure Communication." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-6992-6_36.

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Manohara, M., Meduri SreeRam Kiran, B. V. Sai Thrinath, et al. "Analyzing advanced solutions for electric vehicle charging infrastructure." In Challenges in Information, Communication and Computing Technology. CRC Press, 2024. http://dx.doi.org/10.1201/9781003559092-37.

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Mokhtar, Bassem, Mohamed Azab, Efat Fathalla, Esraa M. Ghourab, Mohamed Magdy, and Mohamed Eltoweissy. "Reliable Collaborative Semi-infrastructure Vehicle-to-Vehicle Communication for Local File Sharing." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30146-0_47.

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Lim, Yujin, Jaesung Park, and Sanghyun Ahn. "Network Infrastructure for Electric Vehicle Charging." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16444-6_28.

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Rak, Jacek, Magnus Jonsson, Alexey Vinel, and Karol Jurczenia. "Design of Resilient Vehicle-to-Infrastructure Systems." In Computer Communications and Networks. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44685-7_29.

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Yan, Huang, Dongxiu Ou, Ziyan Chen, and Yang Yang. "Research on Tram Detector Location Based on Vehicle–Infrastructure Communication." In Lecture Notes in Electrical Engineering. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7986-3_92.

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Conference papers on the topic "Vehicle to Infrastructure Communication"

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Shao, Jiawei, Teng Li, and Jun Zhang. "Task-Oriented Communication for Vehicle-to-Infrastructure Cooperative Perception." In 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2024. http://dx.doi.org/10.1109/mlsp58920.2024.10734780.

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Bakhuraisa, Yaser, Azlan Bin Abd Aziz, Tan Kim Geok, Saifulnizan Jamian, Mohamad Yusoff Alias, and Mohd Khanapiah Bin Nor. "Millimeter-Wave Propagation Characteristics Analysis for Vehicle to Infrastructure Communication." In 2024 IEEE 7th International Symposium on Telecommunication Technologies (ISTT). IEEE, 2024. http://dx.doi.org/10.1109/istt63363.2024.10750611.

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S, Saahithi, Preethi D, Syeeda Tanzila, Shreeja Shruthi GS, and Raghu C N. "Implementation of Electric Vehicle Charging Infrastructure for Effective Charging." In 2024 2nd World Conference on Communication & Computing (WCONF). IEEE, 2024. http://dx.doi.org/10.1109/wconf61366.2024.10692032.

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Conrad, Andrew, Samantha Isaac, Roderick Cochran, et al. "Vehicle-to-Vehicle Quantum Key Distribution (V2V-QKD)." In CLEO: Applications and Technology. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_at.2024.aw4d.4.

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Secure communication is required for future smart infrastructure networks. We demonstrate the first Quantum Key Distribution (QKD) link between two moving cars. Our system operates at low-speeds and at high-speeds on a U.S. Interstate Highway.
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Yu, Bingyan, Xianping Hua, and Ning Xie. "Applications of Cooperative Vehicle-Infrastructure System Using High-Precision Positioning." In 2024 IEEE 24th International Conference on Communication Technology (ICCT). IEEE, 2024. https://doi.org/10.1109/icct62411.2024.10946483.

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Ali, Rifat, Prem N, Akshay Natarajan, and Anitha Kashi. "Vehicle Diagnostics and Vehicle to Infrastructure Communication through Visible Light Communication (VLC)." In Symposium on International Automotive Technology. SAE International, 2024. http://dx.doi.org/10.4271/2024-26-0082.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;High Fidelity Communication has become a necessity in various sectors. Different wireless data transfer methods play a vital role in various far field and near-field communications. Wireless communication for transferring data through radio spectrum has been a continuous evolving trend, especially in Automotive Sector, with fleet monitoring, platooning and even connected vehicles. Some important parameters considered in selecting a wireless platform would be bandwidth, data transfer, speed and security. Some interesting advantages of communication over the visible spectrum has led to the evolution of Light Fidelity. Implementation of Visible Light Communication (VLC) in the automotive field might enable safer driving conditions through vehicle-to-vehicle (V2V) and vehicle to Infrastructure (V2I) communication with high data transmission rates and efficient-bandwidth usage. The principle of VLC is based on “line of sight” data transmission through modulation of the light source. Highly reliable vehicle-to-vehicle communication is possible with VLC through transmission and reception of data using visible light as the medium of communication. It also helps to reduce the downtime with on the fly diagnosis of the vehicle. In this paper, we propose a concept that uses VLC enabled vehicles and systems aimed at improved vehicle diagnostics, data handling and road safety. We shall also investigate possibilities of managing and reporting traffic violations accurately by means of deploying the VLC technology in real time applications. The paper also touches upon VLC in hybrid networks wherein it collaborates with the conventional networks to enable wireless communication across various scenarios and environments. Also, this paper would focus on the vehicle diagnostics through ECUs for faster data handling.&lt;/div&gt;&lt;/div&gt;
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Marcillo, Pablo, Ángel Leonardo Valdivieso Caraguay, and Myriam Hernandez-Alvarez. "Security in Vehicle-to-Infrastructure Communications." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002210.

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By 2020, the number of connected vehicles will reach 250 million units. Thus, one of five vehicles worldwide will count on any wireless connection. Functional areas such as telecommunications, infotainment, automatic driving, or mobility services will have to face the implications caused by that growth. As long as vehicles require exchanging information with other vehicles or accessing external networks through a communication infrastructure, these vehicles must be part of a network. A VANET is a type of mobile network formed by base stations known as Road Side Units (RSU) and vehicles equipped with communication units known as Onboard Units (OBU). The two modes of communication in a VANET are Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I). Some authors consider that V2I communication has more advantages than V2V communication because V2I communication provides services such as driving guidance or early warning for drivers. This consideration has meant that researchers show more interest in this mode of communication. Likewise, others affirm that the problem of V2I communication is its security. This review focuses on knowing the most relevant and current approaches on security in V2I communication. Among the solutions, we have authentication schemes based on Blockchain technology, Elliptic Curve cryptography, key insulation strategy, and certificateless aggregate signature technique. Also, we found security arquitectures and identification schemes based on SDN, NFV, and Fog / Edge / Cloud computing. The proposals focus on resolving issues such as the privacy-preserving, high computational work, regular updating and exposure of secret keys, large number of revoked pseudonyms lists, lack of scalability in networks, and high dependence on certification authorities. In addition, these proposals provide countermeasures or strategies against replay, message forgery, impersonation, eavesdropping, DDoS, fake information, modification, Sybil, man-in-the-middle, and spoofing attacks. Finally, we determined that the attacks in V2I communications mostly compromise security requirements such as confidentiality, integrity, authentication, and availability. Preserving privacy by reducing computational costs by integrating emerging technologies is the direction toward security in vehicular network points.
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Ferre, Antoni, Joan Fontanilles, David Gamez, and Federico Giordano. "IWCM: Infrastructure Wireless Communication Module for vehicle communication with recharge infrastructure." In 2013 World Electric Vehicle Symposium and Exhibition (EVS27). IEEE, 2013. http://dx.doi.org/10.1109/evs.2013.6914909.

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Pothirasan, N., and M. Pallikonda Rajasekaran. "Automatic vehicle to vehicle communication and vehicle to infrastructure communication using NRF24L01 module." In 2016 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT). IEEE, 2016. http://dx.doi.org/10.1109/iccicct.2016.7987982.

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INOUE, Yuji. "VaaSI; Vehicle as a Social Infrastructure." In Optical Fiber Communication Conference. OSA, 2019. http://dx.doi.org/10.1364/ofc.2019.m2g.4.

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Reports on the topic "Vehicle to Infrastructure Communication"

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Kwiat, Paul, Eric Chitambar, Andrew Conrad, and Samantha Isaac. Autonomous Vehicle-Based Quantum Communication Network. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-020.

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Quantum communication was demonstrated using autonomous vehicle-to-vehicle (V2V), as well as autonomous vehicle-to-infrastructure (V2I). Supporting critical subsystems including compact size, weight, and power (SWaP) quantum sources; optical systems; and pointing, acquisition, and tracking (PAT) subsystems were designed, developed, and tested. Novel quantum algorithms were created and analyzed, including quantum position verification (QPV) for mobile autonomous vehicles. The results of this research effort can be leveraged in support of future cross-platform, mobile quantum communication networks that provide improved security, more accurate autonomous sensors, and connected quantum computing nodes for next-generation, smart-infrastructure systems.
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Coyner, Kelley, and Jason Bittner. Automated Vehicles and Infrastructure Enablers: Cybersecurity. SAE International, 2024. http://dx.doi.org/10.4271/epr2024018.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;While weaponizing automated vehicles (AVs) seems unlikely, cybersecurity breaches may disrupt automated driving systems’ navigation, operation, and safety—especially with the proliferation of vehicle-to-everything (V2X) technologies. The design, maintenance, and management of digital infrastructure, including cloud computing, V2X, and communications, can make the difference in whether AVs can operate and gain consumer and regulator confidence more broadly. Effective cybersecurity standards, physical and digital security practices, and well-thought-out design can provide a layered approach to avoiding and mitigating cyber breaches for advanced driver assistance systems and AVs alike. Addressing cybersecurity may be key to unlocking benefits in safety, reduced emissions, operations, and navigation that rely on external communication with the vehicle.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;b&gt;Automated Vehicles and Infrastructure Enablers: Cybersecurity&lt;/b&gt; focuses on considerations regarding cybersecurity and AVs from the perspective of V2X infrastructure, including electric charging infrastructure. These issues are examined in the context of initiatives in the US at all levels of government and regulatory frameworks in the UK, Europe, and Asia.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt;Click here to access the full SAE EDGE&lt;/a&gt;&lt;sup&gt;TM&lt;/sup&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt; Research Report portfolio.&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;
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Coyner, Kelley, and Jason Bittner. Automated Vehicles and Infrastructure Enablers: Connectivity. SAE International, 2023. http://dx.doi.org/10.4271/epr2023013.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Do connected vehicle (CV) technologies encourage or dampen progress toward widespread deployment of automated vehicles? Would digital infrastructure components be a better investment for safety, mobility, and the environment? Can CVs, coupled with smart infrastructure, provide an effective pathway to further automation? Highly automated vehicles are being developed (albeit slower than predicted) alongside varied, disruptive connected vehicle technology. &lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;b&gt;Automated Vehicles and Infrastructure Enablers: Connectivity&lt;/b&gt; looks at the status of CV technology, examines the concerns of automated driving system (ADS) developers and infrastructure owners and operators (IOOs) in relying on connected infrastructure, and assesses lessons learned from the growth of CV applications and improved vehicle-based technology. IOOs and ADS developers agree that cost, communications, interoperability, cybersecurity, operation, maintenance, and other issues undercut efforts to deploy a comprehensive connected infrastructure.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt;Click here to access the full SAE EDGE&lt;/a&gt;&lt;sup&gt;TM&lt;/sup&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt; Research Report portfolio.&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;
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Sakulneya, Apidej, and Jeffery Roesler. Enhancing Construction Work-Zone Safety by Passive Pavement-to-Vehicle Communication. Illinois Center for Transportation, 2023. http://dx.doi.org/10.36501/0197-9191/23-016.

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Construction work zones for roads pose significant safety challenges for drivers and workers, which can lead to accidents, injuries, fatalities, and property damage. Enhancing construction work-zone safety requires an understanding of the factors influencing accidents and fatalities and an evaluation of existing safety and traffic-management measures. The objective of this study was to improve work-zone safety for roadways, by connecting passive material sensing in the road with vehicle communication systems. A review of the main roadway work-zone safety literature found driver behavior, traffic congestion, and signage effectiveness to be the most significant factors. Vehicle speed, type of vehicles, type of collisions, and environmental conditions were found to have the most impact on the fatality rate in work zones. Past attempts to improve work-zone safety include adding rumble strips, more warning signs, and implementing smart-work-zone (SWZ) technologies. SWZ communication in-vehicle was found to reduce traffic speeds and promote faster and more consistent merging in the work-zone transition area. Pavement-assisted passive sensing, coupled with vehicle-to-infrastructure (V2I) communication, may offer enhanced in-vehicle speed and lane-merge warnings, which could improve driver awareness, reduce vehicle speeds, and improve work-zone safety. A laboratory-based experiment was developed to validate the theoretical configurations of smart work zones (SWZ) using passive pavement sensing, with the objective being to determine suitable spacings and inclination angles for the electromagnetic (EM) strips as speed and lane-merge warning systems, respectively. The experimental results revealed that these EM strips can estimate vehicle speed with sufficient accuracy, and the spacing of the EM-sensing strips influences the signal intensity. Additionally, the spacing and inclination angle of the EM strips influence the captured signals. This lab pilot study clearly demonstrated the potential of EM-based strips in enhancing speed and lane-merge warning systems using V2I technology for improved safety in roadway work zones.
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Beiker, Sven. Unsettled Issues Regarding Communication of Automated Vehicles with Other Road Users. SAE International, 2020. http://dx.doi.org/10.4271/epr2020023.

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The focus of this SAE EDGE™ Research Report is to address a topic overlooked by many who choose to view automated driving systems and AVs from a “10,000-foot” perspective: how automated vehicles (AVs) will actually communicate with other road users. Conventional (human-driven) vehicles, bicyclists, and pedestrians already have a functioning system of understating each other while on the move. Adding automated vehicles to the mix requires assessing the spectrum of existing modes of communication – both implicit and explicit, biological and technological, and how they will interact with each other in the real world. The impending deployment of AVs represents a major shift in the traditional approach to ground transportation; its effects will inevitably be felt by parties directly involved with the vehicle manufacturing and use and those that play roles in the mobility ecosystem (e.g., aftermarket and maintenance industries, infrastructure and planning organizations, automotive insurance providers, marketers, telecommunication companies). Unsettled Issues Regarding Communication of Automated Vehicles with Other Road Users brings together the multiple scenarios we are likely to see in a future not too far away and how they are likely to play out in practical ways.
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Tayeb, Shahab. Intelligent Blind Crossings for Suburban and Rural Intersections. Mineta Transportation Institute, 2025. https://doi.org/10.31979/mti.2024.2351.

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Blind intersections in suburban and rural areas pose significant safety challenges due to limited visibility and inadequate infrastructure. This project proposes an innovative solution leveraging the Internet of Vehicles (IoV) paradigm, utilizing connected and autonomous vehicles (CAVs) for seamless communication to enhance safety at these intersections. The research focuses on developing a specialized Road-Side Unit (RSU) system equipped with a Virtual Traffic Light Algorithm implemented on a Field-Programmable Gate Array (FPGA). Key stakeholders, including transportation authorities, vehicle manufacturers, and local communities, stand to benefit from this initiative. The RSU system acts as a critical infrastructure component, facilitating efficient intersection management and mitigating visibility challenges. Methodologies involve adapting the Virtual Traffic Light Algorithm, integrating it into the FPGA-based RSU system, and demonstrating RSU communication operability through software-defined radios. Additionally, a novel solar-powered system is designed for lightweight RSUs to enhance sustainability and energy efficiency. The project's findings indicate the feasibility and practicality of the proposed RSU solution in enhancing safety at blind intersections. Successful implementation of the Virtual Traffic Light Algorithm on the FPGA demonstrates its potential for real-world deployment. The operability demonstration of RSU communication validates the effectiveness of the proposed communication system. Overall, this research contributes to advancing safety measures in transportation infrastructure, with potential implications for future urban planning and policy development.
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He, Zhitong, Abin Mathew, Abhijeet Ingale, Jue Zhou, Feng Li, and Yaobin Chen. Traffic Management Geocast Study with Connected Vehicles on Indiana Highways. Purdue University, 2024. http://dx.doi.org/10.5703/1288284317753.

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Vehicular communication allows vehicles to interact with road users, roadside infrastructure, and cloud-connected devices. It holds a crucial position in modern transportation systems, impacting both fundamental and advanced aspects and enhancing traffic safety and efficiency. C-V2X is a wireless communication technology that uses cellular networks to enable communication between vehicles and infrastructure. C-V2X can be used for applications such as collision avoidance, traffic management, and remote vehicle diagnostics. This project conducted a feasibility study on the current position of C-V2X in the industry and developed a prototype, RampCast, to fundamentally understand the current C-V2X implementations as part of the 3GPP Release 14. A comprehensive review on the state-of-the-art CV2X technologies and various demonstration projects were carried out by the automotive industry, cellular wireless chips/systems companies, and federal/states DOTs in the U.S. and Europe. A geocast-based prototype system, named RampCast, was built using a software-defined radio approach. The RampCast algorithms focused on the geocasting and were developed for improving message prioritization and retransmission. The field tests that were conducted in a campus parking lot and on the test track revealed sub-100 ms latency and a range of up to 2,500 ft for C-V2X, which emphasized its effectiveness in transmitting critical messages and traffic guidance. Further extensions for the prototype include incorporating multiple units, expanding message types (e.g., points of interest and location-specific adverts), optimizing the prototype's GUI for diverse scenarios, and conducting long-term data analysis for better message flow optimization.
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Muelaner, Jody, ed. Unsettled Issues in Commercial Vehicle Platooning. SAE International, 2021. http://dx.doi.org/10.4271/epr2021027.

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Platooning has the potential to reduce the energy consumption of commercial vehicles while improving safety; however, both advantages are currently difficult to quantify due to insufficient data and the wide range of variables affecting models. Platooning will significantly reduce the use of energy when compared to trucks driven alone, or at a safe distance for a driver without any automated assistance. Platooning will also reduce stopping distances—multiple states in the US have passed laws authorizing truck platoons to operate at shorter gaps than are authorized for normal, human-driven trucks. However, drivers typically do not currently leave the recommended gaps and, therefore, already gain much of the potential energy savings by drafting lead vehicles, albeit illegally. The automated systems associated with platooning cannot be programmed to flout safety recommendations in the way that human drivers routinely do. Therefore, actual energy savings may be minimal while safety may be greatly improved. More data will be needed to conclusively demonstrate a safety gain. Recommended safe gaps are currently highly generalized and must necessarily assume worst-case braking performance. Using a combination of condition monitoring and vehicle-to-vehicle communications, platooning systems will be able to account for the braking performance of other vehicles within the platoon. If all the vehicles in a platoon have a high level of braking performance, the platoon will be able to operate in a more efficient, tighter formation. Driver acceptance of platooning technology will increase as the systems become more effective and do not displace jobs. The increased loading of infrastructure must also be considered, and there may be requirements for upgrades on bridges or restrictions on platooning operation.
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Liu, Tong, and Hadi Meidani. Artificial Intelligence for Optimal Truck Platooning: Impact on Autonomous Freight Delivery. Illinois Center for Transportation, 2023. http://dx.doi.org/10.36501/0197-9191/23-017.

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The advancements in autonomous- and connected-vehicle technologies bring drastic changes in freight delivery. Vehicle-to-vehicle and vehicle-to-infrastructure communication has become a reality with the help of autonomous and connected vehicles. One of the most notable changes is the formation of truck platoons. Despite the numerous benefits of truck platooning, such as reduced fuel consumption and increased traffic efficiency, this approach requires a significant amount of computational resources to obtain aerodynamic performance under different scenarios. To overcome this challenge, a data-driven surrogate model was proposed to predict the drag force and fuel-consumption rate of truck platoons. The surrogate model improves computational efficiency, as compared to traditional methods, and provides a valuable tool for evaluating the performance of truck platoons. To demonstrate the benefits of truck platooning, a 161-km (100-mi) corridor in Illinois on I-57 highway was selected to conduct fuel-consumption analysis and delivery-cost analysis for a three-truck platoon. The results showed that the average fuel savings achieved can be up to 10%, depending on the headway between the trucks. The delivery cost of the truck platoon was reduced by 30%, as compared with conventional line-haul delivery. These findings highlighted the importance of truck platooning as a solution for reducing fuel consumption and improving delivery economy in the freight industry.
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Lambermont, Serge, and Niels De Boer. Unsettled Issues Concerning Automated Driving Services in the Smart City Infrastructure. SAE International, 2021. http://dx.doi.org/10.4271/epr2021030.

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Information and communication technology is fundamentally changing the way we live and operate in cities, such as instant access to events, transportation, bookings, payments, and other services. At the same time, three “megatrends” in the automotive industry—self-driving, electrification, and advanced manufacturing technology—are enabling the design of innovative, application-specific vehicles that capitalize on city connectivity. Applications could countless; however, they also need to be safe and securely integrated into a city’s physical and digital infrastructure, and into the overall urban ecosystem. Unsettled Issues Concerning Automated Driving Services in the Smart City Infrastructure examines the current state of the industry, the developments in automated driving and robotics, and how these new urban, self-driving city applications are different. It also analyzes higher level challenges for urban applications. Ultimately, this report includes several options for sharing lessons learned among different cities and their stakeholders.
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