Relevant bibliographies by topics / Vehicle network

Contents

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

Academic literature on the topic 'Vehicle network'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Vehicle network"

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Guan, Tian, Yi Han, Nan Kang, Ningye Tang, Xu Chen, and Shu Wang. "An Overview of Vehicular Cybersecurity for Intelligent Connected Vehicles." Sustainability 14, no. 9 (2022): 5211. http://dx.doi.org/10.3390/su14095211.

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Cybersecurity is one of the most important challenges in the intelligent connected vehicle system. Interconnected vehicles are vulnerable to different network security attacks, which endanger the safety of passengers. This review paper firstly analyses the reasons why the current vehicle network is vulnerable to network attack and summarizes the three implementation methods of network security threats. The necessity of vehicle network security research and deployment is also analyzed. After giving a short introduction to the vehicular network security, this review paper identifies major securi
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Mishra, Risabh, M. Safa, and Aditya Anand. "Internet of Vehicles: Commencing Intellectual Hoarse Towards Self-Regulating Cars and Vehicular Clouds for Smart Transportation Structure [Vehicular Ad-Hoc Network: A Review and Application in the Internet of Vehicles]." International Journal of Engineering & Technology 7, no. 3.12 (2018): 545. http://dx.doi.org/10.14419/ijet.v7i3.12.16176.

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Recent advances in wireless communication technologies and automobile industry have triggered a significant research interest in the field of Internet of Vehicles over the past few years.The advanced period of the Internet of Things is guiding the development of conventional Vehicular Networks to the Internet of Vehicles.In the days of Internet connectivity there is need to be in safe and problem-free environment.The Internet of Vehicles (IoV) is normally a mixing of three networks: an inter-vehicleNetwork, an intra-vehicle network, and a vehicle to vehicle network.Based on idea of three netwo
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Akwirry, Brian, Nik Bessis, Hassan Malik, and Sarah McHale. "A Multi-Tier Trust-Based Security Mechanism for Vehicular Ad-Hoc Network Communications." Sensors 22, no. 21 (2022): 8285. http://dx.doi.org/10.3390/s22218285.

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Securing communications in vehicle ad hoc networks is crucial for operations. Messages exchanged in vehicle ad hoc network communications hold critical information such as road safety information, or road accident information and it is essential these packets reach their intended destination without any modification. A significant concern for vehicle ad hoc network communications is that malicious vehicles can intercept or modify messages before reaching their intended destination. This can hamper vehicle ad hoc network operations and create safety concerns. The multi-tier trust management sys
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Shen, Yujie, Ziyao Zhu, Chenqi Di, and Xinyi Liu. "Linkage Selection Strategy Based on Attractor Profit Prediction in Heterogeneous Vehicle Network." Journal of Physics: Conference Series 2530, no. 1 (2023): 012010. http://dx.doi.org/10.1088/1742-6596/2530/1/012010.

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Abstract With the continuous development of wireless network technology, heterogeneous wireless networks with multiple network fusions and overlapping coverage have been formed. In the process of vehicles passing through different types of networks with different coverage areas at high speed, there are frequent and inefficient network switching behaviors. Aiming at this situation, a linkage selection strategy based on attractor profit prediction is proposed in a heterogeneous vehicle network. By analyzing the correlation between the wireless network transmission rate and the vehicle position,
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Mendadkar, Snehal, and Poornima Talwai. "Performance Evaluation of routing protocols with and without malicious nodes." ITM Web of Conferences 44 (2022): 03006. http://dx.doi.org/10.1051/itmconf/20224403006.

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Vehicular adhoc networks (VANETs) are made by applying the standards of mobile adhoc networks (MANETs)-the unconstrained making of a remote network of cell phones to the area of vehicles. VANETs were first referenced and presented in 2001 under ”vehicle to-vehicle specially appointed versatile correspondence and systems administration” applications, where networks can be shaped and data can be handed-off among vehicles. It was shown that vehicle-to- vehicle and vehicle-to-road side exchange designs will exist together in VANETs to give street security, route, and other side of the road adminis
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Niknamian, Sorush. "Data Fast Transmission Method in Wireless Vehicle Ad-hoc Network." Journal of Applied Science, Engineering, Technology, and Education 1, no. 2 (2019): 149–61. http://dx.doi.org/10.35877/454ri.asci1294.

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In vehicular ad hoc networks, the current method does not consider the delay of data transmission, resulting in slower vehicle data transmission speed. A vehicle data transmission method based on backbone network is proposed in this paper. Firstly, the characteristics of vehicle ad hoc network are analyzed. Based on the statistics of the road, the vehicle cluster is composed of the vehicles parking on the roadside and no roadside according to the different directions of the vehicle driving. The backbone network is constructed on the basis of the cluster of vehicles, and the data transmission b
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Tippannavar, Sanjay, Meghana N, and Yashwanth S D. "A Security Protocol for V2V Communication using NS2 Network Simulator." International Journal of Innovative Research in Advanced Engineering 10, no. 03 (2023): 49–57. http://dx.doi.org/10.26562/ijirae.2023.v1003.02.

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The principles of MANETs, or mobile ad hoc networks, form the foundation of vehicular ad hoc networks (VANETs). Vanet was first introduced as "Car to Vehicle ad hoc mobile communication and networking" in 2001. In order to build a communication network and transfer data among vehicles, Vanet were invented. Vanet uses a variety of means to establish communication, including vehicle-to-vehicle communication. In this project, both roadside-to-roadside and vehicle-to-roadside communications are employed, and vehicle-to-roadside communication is taken into consideration. A different term for VANETs
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Hadi Saleh, Hassan, and Saad Talib Hasoon. "A Survey on VANETs: Challenges and Solutions." International Journal of Engineering & Technology 7, no. 4.19 (2018): 711–19. http://dx.doi.org/10.14419/ijet.v7i4.19.27987.

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Vehicular Ad-hoc Network (VANET) is an advanced style and subcategory of a Mobile Ad hoc Network (MANET), the main objective of VANET's is to create an Intelligent Transport System (ITS), to reduce traffic congestion, accidents or assistance as gates to other networks such as the Internet. VANET is responsible for the communication between moving vehicles in a certain environment. A vehicle can communicate with another vehicle directly which is termed Vehicle to Vehicle (V2V) communication, or a vehicle can communicate to an infrastructure such as a Road Side Unit (RSU), identified as Vehicle-
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Hung, Shao-Chou, Xin Zhang, Andreas Festag, Kwang-Cheng Chen, and Gerhard Fettweis. "Vehicle-Centric Network Association in Heterogeneous Vehicle-to-Vehicle Networks." IEEE Transactions on Vehicular Technology 68, no. 6 (2019): 5981–96. http://dx.doi.org/10.1109/tvt.2019.2910324.

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Wang, Liu, Lijuan Shi, Jian Zhao, et al. "DV3-IBi_YOLOv5s: A Lightweight Backbone Network and Multiscale Neck Network Vehicle Detection Algorithm." Sensors 24, no. 12 (2024): 3791. http://dx.doi.org/10.3390/s24123791.

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Vehicle detection is a research direction in the field of target detection and is widely used in intelligent transportation, automatic driving, urban planning, and other fields. To balance the high-speed advantage of lightweight networks and the high-precision advantage of multiscale networks, a vehicle detection algorithm based on a lightweight backbone network and a multiscale neck network is proposed. The mobile NetV3 lightweight network based on deep separable convolution is used as the backbone network to improve the speed of vehicle detection. The icbam attention mechanism module is used
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Dissertations / Theses on the topic "Vehicle network"

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BRUCE, WILLIAM, and OTTER EDVIN VON. "Artificial Neural Network Autonomous Vehicle : Artificial Neural Network controlled vehicle." Thesis, KTH, Maskinkonstruktion (Inst.), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191192.

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This thesis aims to explain how a Artificial Neural Network algorithm could be used as means of control for a Autonomous Vehicle. It describes the theory behind the neural network and Autonomous Vehicles, and how a prototype with a camera as its only input can be designed to test and evaluate the algorithms capabilites, and also drive using it. The thesis will show that the Artificial Neural Network can, with a image resolution of 100 × 100 and a training set with 900 images, makes decisions with a 0.78 confidence level.<br>Denna rapport har som mal att beskriva hur en Artificiellt Neuronnatve
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Zhang, Xinglong. "Network vehicle routing problems." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/21710.

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Grace, Thomas, and Dave Hodack. "VEHICLE NETWORK TECHNOLOGY DEMONSTRATION." International Foundation for Telemetering, 2007. http://hdl.handle.net/10150/604401.

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ITC/USA 2007 Conference Proceedings / The Forty-Third Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2007 / Riviera Hotel & Convention Center, Las Vegas, Nevada<br>iNET is a project tasked to foster advances in networking and telemetry technology to meet emerging needs. This paper describes one objective of the project, which is standardization and interoperability. It begins to explore issues for achieving a level of interoperability among differing vendor’s hardware such as data acquisition units, data recorders, video systems, transceivers, and networ
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Grace, Thomas, and John Roach. "VEHICLE NETWORK CONCEPT DEMONSTRATION." International Foundation for Telemetering, 2005. http://hdl.handle.net/10150/604790.

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ITC/USA 2005 Conference Proceedings / The Forty-First Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2005 / Riviera Hotel & Convention Center, Las Vegas, Nevada<br>CTEIP has launched the integrated Network Enhanced Telemetry (iNET) project to foster advances in networking and telemetry technology to meet emerging needs of major test programs as well as within the Major Range and Test Facility Base’s. This paper describes the objective of the vNET concept demonstration to provide a test vehicle instrumentation network architecture that can support add
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Moore, Christopher, Dylan Crocker, Garret Coffman, and Bryce Nguyen. "Telemetry Network for Ground Vehicle Navigation." International Foundation for Telemetering, 2011. http://hdl.handle.net/10150/595750.

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ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada<br>This paper describes a short distance telemetry network which measures and relays time, space, and position information among a group of ground vehicles. The goal is to allow a lead vehicle to be under human control, or perhaps controlled using advanced autonomous path planning and navigation tools. The telemetry network will then allow a series of inexpensive, unmanned vehicles to follow the lead vehicle a
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Grace, Thomas, and John Roach. "1588-ENHANCED VEHICLE NETWORK CONCEPT DEMONSTRATION." International Foundation for Telemetering, 2006. http://hdl.handle.net/10150/603913.

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ITC/USA 2006 Conference Proceedings / The Forty-Second Annual International Telemetering Conference and Technical Exhibition / October 23-26, 2006 / Town and Country Resort & Convention Center, San Diego, California<br>CTEIP has launched the integrated Network Enhanced Telemetry (iNET) project to foster advances in networking and telemetry technology to meet emerging needs of major test programs as well as within the Major Range and Test Facility Base’s. This paper describes one objective of the vNET concept demonstration to provide a test vehicle instrumentation network architecture that can
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Mao, Ruixue. "Road Traffic Density Estimation in Vehicular Network." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/9467.

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In recent decades, vehicular networks or intelligent transportation systems are being increasingly investigated and used to provide solutions to next generation traffic systems. Road traffic density estimation provides important information for road planning, intelligent road routing, road traffic control, vehicular network traffic scheduling, routing and dissemination. The ever increasing number of vehicles equipped with wireless communication capabilities provide new means to estimate the road traffic density more accurately and in real time than traditionally used techniques. In this thesis
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Sanchez, Juan Sebastiam. "Connected Vehicles: from CAN bus to IP-based In-Vehicle Networks." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20415/.

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Il settore automotive, negli ultimi vent’anni, è stato oggetto di importanti sviluppi tecnologici, caratterizzati principalmente dall’evoluzione dei settori dell’elettronica e delle telecomunicazioni. Questo elaborato si pone come obiettivo lo studio delle tecnologie che hanno permesso l’introduzione di sistemi elettronici avanzati all’interno dei veicoli, e di come queste si siano evolute negli anni. Vengono quindi presentate le moderne idee di Connected Vehicle e di In-Vehicle Networks (IVN), nonché i principali protocolli di comunicazione che ne hanno caratterizzato l’evoluzione. Si p
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Kim, Taehyoung. "Assessment of Vehicle-to-Vehicle Communication based Applications in an Urban Network." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/53514.

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Connected Vehicle research has emerged as one of the highest priorities in the transportation systems because connected vehicle technology has the potential to improve safety, mobility, and environment for the current transportation systems. Various connected vehicle based applications have been identified and evaluated through various measurements to assess the performance of connected vehicle applications. However, most of these previous studies have used hypothetical study areas with simple networks for connected vehicle environment. This study represents connected vehicle environment in TR
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Ben, Ticha Hamza. "Vehicle Routing Problems with road-network information." Thesis, Université Clermont Auvergne‎ (2017-2020), 2017. http://www.theses.fr/2017CLFAC071/document.

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Les problèmes de tournées de véhicules (VRPs) ont fait l’objet de plusieurs travaux de recherche depuis maintenant plus de 50 ans. La plupart des approches trouvées dans la littérature s’appuient sur un graphe complet ou un nœud est introduit pour tout point d’intérêt du réseau routier (typiquement les clients et le dépôt). Cette modélisation est, implicitement, basée sur l’hypothèse que le meilleur chemin entre toute paire de points du réseau routier est bien défini. Cependant, cette hypothèse n’est pas toujours valide dans de nombreuses situations. Souvent, plus d’informations sont nécessair
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Books on the topic "Vehicle network"

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Maze, T. H. Policy issues of an Iowa longer combination vehicle network. Midwest Transportation Center, Iowa State University, 1994.

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Semsar-Kazerooni, Elham, and Khashayar Khorasani. Team Cooperation in a Network of Multi-Vehicle Unmanned Systems. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5073-3.

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National Research Council (U.S.). Transportation Research Board., ed. Vehicle routing, traveler ADIS, network modeling, and advanced control systems. National Academy Press, 1992.

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Ran, Bin. Dynamic urban transportation network models: Theory and implications for intelligent vehicle-highway systems. Springer-Verlag, 1994.

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Semsar-Kazerooni, Elham. Team Cooperation in a Network of Multi-Vehicle Unmanned Systems: Synthesis of Consensus Algorithms. Springer New York, 2013.

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Dailey, Daniel J. A self-describing data transfer methodology for ITS applications. Washington State Dept. of Transportation, 2000.

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Dailey, Daniel J. A self-describing data transfer methodology for ITS applications: Executive summary. Washington State Dept. of Transportation, 2000.

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Krogmeier, J. V. Wireless local area network for ITS communications using the 220 MHz ITS spectral allocation. Joint Highway Research Project, Purdue University, 2000.

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Eiichi, Taniguchi, ed. City logistics: Network modelling and intelligent transport systems. Pergamon, 2001.

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Zuev, Sergey, Ruslan Maleev, and Aleksandr Chernov. Energy efficiency of electrical equipment systems of autonomous objects. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1740252.

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When considering the main trends in the development of modern autonomous objects (aircraft, combat vehicles, motor vehicles, floating vehicles, agricultural machines, etc.) in recent decades, two key areas can be identified. The first direction is associated with the improvement of traditional designs of autonomous objects (AO) with an internal combustion engine (ICE) or a gas turbine engine (GTD). The second direction is connected with the creation of new types of joint-stock companies, namely electric joint-stock companies( EAO), joint-stock companies with combined power plants (AOKEU).&#x0D
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Book chapters on the topic "Vehicle network"

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Francia III, Guillermo A. "Vehicle Network Security Metrics." In Advances in Cybersecurity Management. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71381-2_4.

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Köpeczi-Bócz, Ákos T., Tian Mi, Gábor Orosz, and Dénes Takács. "YOLOgraphy: Image Processing Based Vehicle Position Recognition." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_56.

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AbstractA methodology is developed to extract vehicle kinematic information from roadside cameras at an intersection using deep learning. The ground truth data of top view bounding boxes are collected with the help of unmanned aerial vehicles (UAVs). These top view bounding boxes containing vehicle position, size, and orientation information, are converted to the roadside view bounding boxes using homography transformation. The ground truth data and the roadside view images are used to train a modified YOLOv5 neural network, and thus, to learn the homography transformation matrix. The output o
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Ahn, Yoonyong, Sangwon Han, Jihoon Sung, Jaeho Choi, and Kunsoo Huh. "An Automated Lane-Change System Based on Probabilistic Trajectory Prediction Network." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_124.

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AbstractIn highway driving, understanding the intentions of surrounding vehicles is a crucial prerequisite to ensure collision-free lane changes. In this study, an automated lane change system framework is proposed for highway driving. A Long Short-Term Memory (LSTM)-based network is utilized to predict the paths of surrounding vehicles as probability distributions. When initiating a lane change, multiple candidate paths are generated, and the collision probability is then calculated by considering the generated paths of the host vehicle and the predicted paths of surrounding vehicles. Using t
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Hogan, Ciarán, and Ganesh Sistu. "Automatic Vehicle Ego Body Extraction for Reducing False Detections in Automated Driving Applications." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26438-2_21.

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AbstractFisheye cameras are extensively employed in autonomous vehicles due to their wider field of view, which produces a complete 360-degree image of the vehicle with a minimum number of sensors. The drawback of having a broader field of view is that it may include undesirable portions of the vehicle’s ego body in its perspective. Due to objects’ reflections on the car body, this may produce false positives in perception systems. Processing ego vehicle pixels also uses up unnecessary computing power. Unexpectedly, there is no literature on this relevant practical problem. To our knowledge, t
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Johansson, Karl Henrik, Martin Törngren, and Lars Nielsen. "Vehicle Applications of Controller Area Network." In Handbook of Networked and Embedded Control Systems. Birkhäuser Boston, 2005. http://dx.doi.org/10.1007/0-8176-4404-0_32.

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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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Hegedűs, Tamás, Dániel Fényes, Balázs Németh, Vu Van Tan, and Péter Gáspár. "A Lateral Control Based on Physics Informed Neural Networks for Autonomous Vehicles." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_115.

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AbstractIn the paper, a lateral control strategy is presented using Physics-Informed Neural Network (PINN) for automated vehicles. The main idea is that the physics information is incorporated into the training process, which leads to an improvement in the performance level of the control algorithm. Moreover, in the highly nonlinear range of the lateral dynamics, which is not properly covered by the training dataset, the stability of the vehicle is guaranteed. The results are compared to a conventional neural network trained to control the vehicle.
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Stein, Kyle, Arash Mahyari, and Eman El-Sheikh. "Vehicle Controller Area Network Inspection Using Recurrent Neural Networks." In Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23). Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-33743-7_40.

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Hug, Victor. "Business Case for EV Charging on the Motorway Network in Denmark." In Electric Vehicle Business Models. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12244-1_5.

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Patel, Anil Ranjitbhai, Sanjaykumar Gorasiya, and Peter Liggesmeyer. "Dynamic Risk Assessment for Automated Driving System using Artificial Neural Network." In Commercial Vehicle Technology 2024. Springer Fachmedien Wiesbaden, 2024. http://dx.doi.org/10.1007/978-3-658-45699-3_22.

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Conference papers on the topic "Vehicle network"

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Xun, Yizhe, Jia Liu, Sardar M. N. Islam, and Yuanfang Chen. "Multi-View Vehicle Image Generation Network for Vehicle Re-Identification." In 2024 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2024. http://dx.doi.org/10.1109/iccworkshops59551.2024.10615790.

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Wu, Liangshou, James Oliver, and Adrian Sannier. "Network-Based Vehicle Collision Detection and Simulation." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85466.

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Vehicle driving simulation, collision detection, and collision simulation of rigid bodies are not new concepts in physical-based simulations, but the integration of all these techniques is a challenging and interesting topic. This paper implements a network-based vehicle collision detection and response simulation system that has all the components that are required by a vehicle driving simulation. It supports vehicle-to-scene and vehicle-to-vehicle collision detection and response simulation in real-time required by a human-in-the-loop driving simulation. Additionally, it supports collaborati
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Shuai, Zhibin, Hui Zhang, Junmin Wang, Jianqiu Li, and Minggao Ouyang. "Network Control of Vehicle Lateral Dynamics With Control Allocation and Dynamic Message Priority Assignment." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3890.

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In this paper we study the lateral motion control and torque allocation for four-wheel-independent-drive electric vehicles (4WID-EVs) with combined active front steering (AFS) and direct yaw moment control (DYC) through in-vehicle networks. It is well known that the in-vehicle networks and x-by-wire technologies have considerable advantages over the traditional point-to-point communications, and bring great strengths to 4WID-EVs. However, there are also bandwidth limitations which would lead to message time delays in network communication. We propose a method on effectively utilizing the limit
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Seo, Suk-Hyun, Jin-Ho Kim, Key Ho Kwon, Jae Wook Jeon, and SungHo Hwang. "A Virtual Vehicle Simulator Controlled by Networked Embedded Systems via LIN, CAN, and FlexRay." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86802.

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This paper presents a virtual vehicle simulator for testing networked embedded systems. These days a vehicle can include up to one hundred electronic control units. These control units are connected via communication media in order to improve the performance of vehicles. However, it is not an easy process to test electronic control units in real vehicles. Thus, we propose a virtual simulation of a vehicle which is controlled by an embedded network system. The simulator provides the essential requirements necessary to accurately test networked embedded systems. The proposed simulator provides a
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Rozenbroek, Tijs, Jim Rojer, Lukas Steenstra, and Hanno Hildmann. "Neural Network Vehicle Modelling for Underwater Vehicles." In OCEANS 2023 - Limerick. IEEE, 2023. http://dx.doi.org/10.1109/oceanslimerick52467.2023.10244278.

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Murphree, Jay, Roark Weil, and John R. Wootton. "Emerging Trends in Intra Vehicle Networks for Data, Control and Power Distribution." In 2024 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium. National Defense Industrial Association, 2024. http://dx.doi.org/10.4271/2024-01-3142.

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&lt;title&gt;Abstract&lt;/title&gt; &lt;p&gt;Current and future military vehicles will be expected to not only last longer than their predecessors, but also operate with a flexible mission package. These vehicles must be architected for lifecycle multiple upgrades of electronics and general product improvements.&lt;/p&gt; &lt;p&gt;The ability to be upgraded and reconfigured for flexible mission profiles compels the vehicle’s architecture be centered around a “data bus” network backbone that facilitates “universal plug and play” of electronic payloads. The vehicle’s over all data stream will co
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Ishida, Takaharu. "Feasible Study for the Availability of Electric Vehicles for the Stable Operation in Power System Network." In 1st International Electric Vehicle Technology Conference. Society of Automotive Engineers of Japan, 2011. http://dx.doi.org/10.4271/2011-39-7248.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Electric vehicle will come into wide use in worldwide with the arrival of the Low-carbon society in the next twenty years. And total capacity of the battery on the electric vehicle in the power system network amounts for several Giga Watts, which corresponds to the capacity of several nuclear power plants. It is difficult for power system operator to forecast of the amount of the charging power because there is much uncertainty of using power on electric vehicles compared to the electric facility like air conditioner and
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Mushenski, Christopher B., Amy Cartwright, and Gregory Myrvold. "Vehicle Network Selection." In SAE 2002 World Congress & Exhibition. SAE International, 2002. http://dx.doi.org/10.4271/2002-01-0442.

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Sun, Rui, Shaojun Zhang, Zhirao Yin, Saoqian Wu, and Yufan Chen. "Intelligent Networked Vehicle CAN Network Security." In 2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI). IEEE, 2023. http://dx.doi.org/10.1109/acedpi58926.2023.00084.

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Minato, Kazuya, Huiting Cheng, and Yasushi Yamao. "Performance of broadcast transmission from multiple vehicles in vehicle-roadside-vehicle relay network." In 2011 6th International ICST Conference on Communications and Networking in China (CHINACOM). IEEE, 2011. http://dx.doi.org/10.1109/chinacom.2011.6158240.

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Reports on the topic "Vehicle network"

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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 netwo
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Dattathreya, Macam S. A Common Bus In-Vehicle Network Architecture for Ground Army Vehicles. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada513223.

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Tayeb, Shahab. Protecting Our Community from the Hidden Vulnerabilities of Today’s Intelligent Transportation Systems. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2132.

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The ever-evolving technology interwoven into the transportation industry leaves it frequently at risk for cyber-attacks. This study analyzes the security of a common in-vehicle network, the Controller Area Network (CAN), standard in most vehicles being manufactured today. Like many other networks, CAN comes with inherent vulnerabilities that leave CAN implementations at risk of being targeted by cybercriminals. Such vulnerabilities range from eavesdropping, where the attacker can read the raw data traversing the vehicle, to spoofing, where the attacker can place fabricated traffic on the netwo
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Dattathreya, Macam S. Open Network Architecture for Army Vehicle Electronics. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada513205.

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Kontou, Eleftheria, Yen-Chu Wu, and Jiewen Luo. Electric Vehicle Infrastructure Plan in Illinois. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-023.

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We study the allocation of dynamic electric vehicle charging investments from the policymaker’s perspective, which aims to meet statewide emission-reduction targets for the Illinois passenger vehicle sector. We determine statewide charging deployment trajectories over a 30-year planning horizon and estimate their emission reduction. Electric vehicle demand functions model the electrified vehicle market growth and capture network externalities and spatial heterogeneity. Our analysis indicates that most chargers need to be deployed in the first 10 to 15 years of the transition to allow benefits
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Li, Howell, Enrique Saldivar-Carranza, Jijo K. Mathew, et al. Extraction of Vehicle CAN Bus Data for Roadway Condition Monitoring. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317212.

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Obtaining timely information across the state roadway network is important for monitoring the condition of the roads and operating characteristics of traffic. One of the most significant challenges in winter roadway maintenance is identifying emerging or deteriorating conditions before significant crashes occur. For instance, almost all modern vehicles have accelerometers, anti-lock brake (ABS) and traction control systems. This data can be read from the Controller Area Network (CAN) of the vehicle, and combined with GPS coordinates and cellular connectivity, can provide valuable on-the-ground
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Parker, Michael, Alex Stott, Brian Quinn, Bruce Elder, Tate Meehan, and Sally Shoop. Joint Chilean and US mobility testing in extreme environments. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42362.

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Vehicle mobility in cold and challenging terrains is of interest to both the US and Chilean Armies. Mobility in winter conditions is highly vehicle dependent with autonomous vehicles experiencing additional challenges over manned vehicles. They lack the ability to make informed decisions based on what they are “seeing” and instead need to rely on input from sensors on the vehicle, or from Unmanned Aerial Systems (UAS) or satellite data collections. This work focuses on onboard vehicle Controller Area Network (CAN) Bus sensors, driver input sensors, and some externally mounted sensors to assist
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McKinley, George B. Vehicle Capacity API for Transportation Infrastructure Network Builder (TINet). Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada427994.

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Pritchett, William, William Protzman, and Robert Kling. CORBA and HLA: Enabling Future Network-Centric Vehicle Systems? Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada639965.

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Boakye, K., P. Kidwell, G. Konjevod, and J. Lenderman. Literature review for vehicle correspondence and network modeling and analysis. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1236136.

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