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Relevant bibliographies by topics / Vehicle to Infrastructure - V2I communications

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Academic literature on the topic 'Vehicle to Infrastructure - V2I communications'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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Journal articles on the topic "Vehicle to Infrastructure - V2I communications"

1

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)

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Mushtaq, Anum, Irfan ul Haq, Wajih un Nabi, Asifullah Khan, and Omair Shafiq. "Traffic Flow Management of Autonomous Vehicles Using Platooning and Collision Avoidance Strategies." Electronics 10, no. 10 (2021): 1221. http://dx.doi.org/10.3390/electronics10101221.

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Connected Autonomous Vehicles (AVs) promise innovative solutions for traffic flow management, especially for congestion mitigation. Vehicle-to-Vehicle (V2V) communication depends on wireless technology where vehicles can communicate with each other about obstacles and make cooperative strategies to avoid these obstacles. Vehicle-to-Infrastructure (V2I) also helps vehicles to make use of infrastructural components to navigate through different paths. This paper proposes an approach based on swarm intelligence for the formation and evolution of platoons to maintain traffic flow during congestion

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Han, Biao, Sirui Peng, Celimuge Wu, Xiaoyan Wang, and Baosheng Wang. "LoRa-Based Physical Layer Key Generation for Secure V2V/V2I Communications." Sensors 20, no. 3 (2020): 682. http://dx.doi.org/10.3390/s20030682.

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In recent years, Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication brings more and more attention from industry (e.g., Google and Uber) and government (e.g., United States Department of Transportation). These Vehicle-to-Everything (V2X) technologies are widely adopted in future autonomous vehicles. However, security issues have not been fully addressed in V2V and V2I systems, especially in key distribution and key management. The physical layer key generation, which exploits wireless channel reciprocity and randomness to generate secure keys, provides a feasible soluti

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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 whos

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Jiang, Wenyi, Ke Guan, Zhangdui Zhong, et al. "Propagation and Wireless Channel Modeling Development on Wide-Sense Vehicle-to-X Communications." International Journal of Antennas and Propagation 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/981281.

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The need for improving the safety and the efficiency of transportation systems has become of extreme importance. In this regard, the concept of vehicle-to-X (V2X) communication has been introduced with the purpose of providing wireless communication technology in vehicular networks. Not like the traditional views, the wide-sense V2X (WSV2X) communications in this paper are defined by including not only vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications but also train-to-X (T2X) communications constituted of train-to-train (T2T) and train-to-infrastructure (T2I) communi

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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 (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

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Mostafa, Ahmad, Anna Maria Vegni, Talmai Oliveira, Thomas D. C. Little, and Dharma P. Agrawal. "QoSHVCP: Hybrid Vehicular Communications Protocol with QoS Prioritization for Safety Applications." ISRN Communications and Networking 2012 (April 17, 2012): 1–14. http://dx.doi.org/10.5402/2012/149505.

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This paper introduces a hybrid communication paradigm for achieving seamless connectivity in Vehicular Ad hoc Networks (VANETs), wherein the connectivity is often affected by changes in the dynamic topology, vehicles’ speed, as well as the traffic density. Our proposed technique named QoS-oriented Hybrid Vehicular Communications Protocol (QoSHVCP) exploits both existing network infrastructure through a Vehicle-to-Infrastructure (V2I), as well as a traditional Vehicle-to-Vehicle (V2V) connection that could satisfy Quality-of-Service requirements. QoSHVCP is based on a V2V-V2I protocol switching

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Kim, Wooseong, and Eun-Kyu Lee. "LTE Network Enhancement for Vehicular Safety Communication." Mobile Information Systems 2017 (2017): 1–18. http://dx.doi.org/10.1155/2017/8923782.

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Direct vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications have been popularly considered for safe driving of manned or unmanned vehicles. The V2I communication is better than the V2V communication for propagating safety messages at critical regions like intersections where the safety messages must be delivered to surround vehicles with low latency and loss, since transmitters as infrastructure can have line of sight to the receiver vehicles and control wireless medium access in a centralized manner unlike V2V. Long-Term Evolution (LTE) cellular networks are rapidly dep

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Zadobrischi, Eduard, Lucian-Mihai Cosovanu, and Mihai Dimian. "Traffic Flow Density Model and Dynamic Traffic Congestion Model Simulation Based on Practice Case with Vehicle Network and System Traffic Intelligent Communication." Symmetry 12, no. 7 (2020): 1172. http://dx.doi.org/10.3390/sym12071172.

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The massive increase in the number of vehicles has set a precedent in terms of congestion, being one of the important factors affecting the flow of traffic, but there are also effects on the world economy. The studies carried out so far try to highlight solutions that will streamline the traffic, as society revolves around transportation and its symmetry. Current research highlights that the increased density of vehicles could be remedied by dedicated short-range communications (DSRC) systems through communications of the type vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I) or vehicl

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Bilgin, B. E., and V. C. Gungor. "Performance Comparison of IEEE 802.11p and IEEE 802.11b for Vehicle-to-Vehicle Communications in Highway, Rural, and Urban Areas." International Journal of Vehicular Technology 2013 (November 6, 2013): 1–10. http://dx.doi.org/10.1155/2013/971684.

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Communication between vehicles has recently been a popular research topic. Generally, the Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), and Infrastructure-to-Infrastructure (I2I) communications applications can be divided into two sections: (i) safety applications and (ii) nonsafety applications. In this study, we have investigated the performance of IEEE 802.11p and IEEE 802.11b based on real-world measurements and radio propagation models of V2V networks in different environments, including highway, rural, and urban areas. Furthermore, we have investigated the most used V2V mobi

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Dissertations / Theses on the topic "Vehicle to Infrastructure - V2I communications"

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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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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 o

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Lebre, Marie-Ange. "De l'impact d'une décision locale et autonome sur les systèmes de transport intelligent à différentes échelles." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEI007/document.

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Cette thèse présente des applications véhiculaires à différentes échelles : de la petite qui permet d'effectuer des tests réels de communication et de service ; à des plus grandes incluant plus de contraintes mais permettant des simulations sur l'ensemble du réseau. Dans ce contexte nous soulignons l'importance d'avoir et de traiter des données réelles afin de pouvoir interpréter correctement les résultats. A travers ces échelles nous proposons différents services utilisant la communication V2V et V2I. Nous ne prétendons pas prendre le contrôle du véhicule, notre but est de montrer le potentie

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Randriamasy, Malalatiana. "Localisation et transmissions sécurisées pour la communication Véhicule à Infrastructure (V2I) : Application au service de télépéage ITS-G5." Thesis, Normandie, 2019. http://www.theses.fr/2019NORMR011/document.

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La localisation précise des véhicules et la sécurité des échanges sont deux grands axes qui font la fiabilité des services fournis dans les systèmes de transport intelligent. Ces dernières années, elles font l’objet de nombreux projets de recherche pour des champs d’application divers. Dans cette thèse, le contexte d’application est la réalisation d’un service de télépéage utilisant la technologie ITS-G5. Cette technologie de communication sans-fil permet dans un premier temps le partage des informations de sécurité routière entre les véhicules (V2V), le véhicule et l’infrastructure (V2I). Dan

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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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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.

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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

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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 Dig

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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

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Amato, Elisabetta. "Performance comparison of C-V2X and WAVE protocols for vehicular to infrastructure communications: simulation of the highway use case." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/16534/.

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The objective of this thesis is the analysis and the study of the various access techniques for vehicular communications, in particular of the C-V2X and WAVE protocols. The simulator used to study the performance of the two protocols is called LTEV2Vsim and was developed by the CNI IEIIT for the study of V2V (Vehicle-to-Vehicle) communications. The changes I made allowed me to study the I2V (Infrastructure-to-Vehicle) scenario in highway areas and, with the results obtained, I made a comparison between the two protocols in the case of high vehicular density and low vehicular density, putting i

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Books on the topic "Vehicle to Infrastructure - V2I communications"

1

Jeff, Brummond, ed. Transportation infrastructure security utilizing intelligent transportation systems. John Wiley & Sons, 2008.

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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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Vehicle-to-Vehicle and Vehicle-to-Infrastructure Communications. CRC Press, 2018. http://dx.doi.org/10.1201/9781315201542.

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Vehicle-To-Vehicle and Vehicle-to-Infrastructure Communications: A Technical Approach. Taylor & Francis Group, 2018.

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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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Book chapters on the topic "Vehicle to Infrastructure - V2I communications"

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Andrews, Scott. "Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) Communications and Cooperative Driving." In Handbook of Intelligent Vehicles. Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-085-4_46.

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Stavropoulos, Donatos, Giannis Kazdaridis, Thanasis Korakis, Dimitrios Katsaros, and Leandros Tassiulas. "Demonstration of a Vehicle-to-Infrastructure (V2I) Communication Network Featuring Heterogeneous Sensors and Delay Tolerant Network Capabilities." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35576-9_43.

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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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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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Khan, Aidil Redza, Mohd Faizal Jamlos, Nurmadiha Osman, et al. "DSRC Technology in Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) IoT System for Intelligent Transportation System (ITS): A Review." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4597-3_10.

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Cacciapuoti, Angela Sara, Marcello Caleffi, Adriano Masone, Antonio Sforza, and Claudio Sterle. "Data Throughput Optimization for Vehicle to Infrastructure Communications." In AIRO Springer Series. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00473-6_11.

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Soni, Mukesh, Brajendra Singh Rajput, Tejas Patel, and Nilesh Parmar. "Lightweight Vehicle-to-Infrastructure Message Verification Method for VANET." In Lecture Notes on Data Engineering and Communications Technologies. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4474-3_50.

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Kossakowski, Daniel, and Karolina Krzykowska. "Application of V2X Technology in Communication Between Vehicles and Infrastructure in Chosen Area." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27687-4_25.

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Skorupski, Jacek. "Aerodrome Traffic Support with the Use of Infrastructure-to-Vehicle Communication." In Communications in Computer and Information Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66251-0_32.

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Conference papers on the topic "Vehicle to Infrastructure - V2I communications"

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Oh, Hayoung, Joon Yoo, Chong-kwon Kim, and Sang hyun Ahn. "A novel mobility management for seamless handover in vehicle-to-vehicle/vehicle-to-infrastructure (V2V/V2I) networks." In 2009 9th International Symposium on Communications and Information Technology (ISCIT). IEEE, 2009. http://dx.doi.org/10.1109/iscit.2009.5341248.

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He, Wenxue, Huafu Li, Xiao Zhi, et al. "Overview of V2V and V2I Wireless Communication for Cooperative Vehicle Infrastructure Systems." In 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2019. http://dx.doi.org/10.1109/iaeac47372.2019.8997786.

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Apostol, Andre A., and Cameron J. Turner. "Agent Based Resilient Transportation Infrastructure With Surrogate Adaptive Networks." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22568.

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Abstract Connected autonomous intelligent agents (AIA) can improve intersection performance and resilience for the transportation infrastructure. An agent is an autonomous decision maker whose decision making is determined internally but may be altered by interactions with the environment or with other agents. Implementing agent-based modeling techniques to advance communication for more appropriate decision making can benefit autonomous vehicle technology. This research examines vehicle to vehicle (V2V), vehicle to infrastructure (V2I), and infrastructure to infrastructure (I2I) communication

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Raj, Dhanesh. "Performance Evaluation of QoS in Marine Vehicle to Infrastructure (V2I) Network." In 2020 International Conference on COMmunication Systems & NETworkS (COMSNETS). IEEE, 2020. http://dx.doi.org/10.1109/comsnets48256.2020.9027424.

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Khan, Zahid, Fakhar Abbas, and Hamidullah. "A Conceptual Framework of Virtualization and Live-Migration for Vehicle to Infrastructure (V2I) Communications." In 2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN). IEEE, 2019. http://dx.doi.org/10.1109/iccsn.2019.8905287.

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Rezgui, Jihene, Emile Gagne, Guillaume Blain, Olivier St-Pierre, and Maximilien Harvey. "Platooning of Autonomous Vehicles with Artificial Intelligence V2I Communications and Navigation Algorithm." In 2020 Global Information Infrastructure and Networking Symposium (GIIS). IEEE, 2020. http://dx.doi.org/10.1109/giis50753.2020.9248490.

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Canosa, Alejandro Fernandez, and Baisravan HomChaudhuri. "Computationally-Efficient Fuel-Economic High-Level Controller Design for a Group of Connected Vehicles in Urban Roads." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-9124.

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This paper presents a computationally-efficient fuel-economic control strategy for a group of connected vehicles in urban roads. We assume the availability of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication. Apart from fuel economy, the proposed higher-level controller also focuses on reducing red light idling, which improves traffic mobility and in turn improves vehicle emissions. The red light idling avoidance problem is formulated as a two-point boundary value problem and sampling-based approach is employed to evaluate a feasible solution in real-time. This leads

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Ntousakis, Ioannis A., Kallirroi Porfyri, Ioannis K. Nikolos, and Markos Papageorgiou. "Assessing the Impact of a Cooperative Merging System on Highway Traffic Using a Microscopic Flow Simulator." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-39850.

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Vehicle merging on highways has always been an important aspect, which directly affects the capacity of the highway. Under critical traffic conditions, the merging of main road traffic and on-ramp traffic is known to trigger speed breakdown and congestion. Additionally, merging is one of the most stressful tasks for the driver, since it requires a synchronized set of observations and actions. Consequently, drivers often perform merging maneuvers with low efficiency. Emerging vehicle technologies, such as cooperative adaptive cruise control and/or merging-assistance systems, are expected to ena

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Horani, Modar, and Osamah Rawashdeh. "A Framework for Vision-Based Lane Line Detection in Adverse Weather Conditions Using Vehicle-to-Infrastructure (V2I) Communication." In WCX SAE World Congress Experience. SAE International, 2019. http://dx.doi.org/10.4271/2019-01-0684.

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Ekedebe, Nnanna, Wei Yu, Houbing Song, and Chao Lu. "On a simulation study of cyber attacks on vehicle-to-infrastructure communication (V2I) in Intelligent Transportation System (ITS)." In SPIE Sensing Technology + Applications, edited by Sos S. Agaian, Sabah A. Jassim, and Eliza Y. Du. SPIE, 2015. http://dx.doi.org/10.1117/12.2177465.

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