To see the other types of publications on this topic, follow the link: Vehicle to Infrastructure Communication.
Journal articles on the topic 'Vehicle to Infrastructure Communication'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Vehicle to Infrastructure Communication.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
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.
Full textAbstract:
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.
2
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.
Full textAbstract:
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.
3
Arena, Fabio, and Giovanni Pau. "An Overview of Vehicular Communications." Future Internet 11, no. 2 (2019): 27. http://dx.doi.org/10.3390/fi11020027.
Full textAbstract:
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.
4
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.
Full textAbstract:
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.
5
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.
Full textAbstract:
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.
6
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.
Full textAbstract:
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.
7
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.
Full text
8
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.
Full text
9
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.
Full textAbstract:
<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>
10
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.
Full textAbstract:
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.
11
Savu, T., and A. B. Jugravu. "Vehicles fleet communications in data infrastructure unavailability situations." IOP Conference Series: Materials Science and Engineering 1268, no. 1 (2022): 012007. http://dx.doi.org/10.1088/1757-899x/1268/1/012007.
Full textAbstract:
The paper describes a solution for operating a fleet of AGVs or AMRs, when an appropriate communication infrastructure is not available, by using messages send from one vehicle to another. All vehicles are equipped with two-way radios and a server (fixed or placed on one vehicle) is managing the network messages and is storing the data about the position of each vehicle. A set of rules was defined for message management and the messages format was defined in detail. It was also defined an algorithm, running on the server, for defining the chain of vehicles to be used for sending one message in the network and for updating the data about the vehicles’ network structure. It was developed and tested the software to be implemented in the radio communication modules for managing the messages flow. Tests were performed for assessing the coverage area in a real environment and the results, proving the correct software implementation, are explained.
12
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.
Full textAbstract:
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-to-Infrastructure (V2I). VANET networks have now been established as reliable networks used by vehicles for communication on highways or urban environments. The goal of VANET is to help a group of vehicles to establish and maintain a network of communications between them without using any central base station. Along with benefits, there are a large number of challenges facing VANET. In this research, we present a comprehensive review of the challenges facing these networks with some of the proposed solutions, Researchers will gain best understand of VANETs challenges and research trends from the study. Â
13
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.
Full textAbstract:
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 and collision avoidance practices using V2V and V2I communications. In this paper, we present a two level approach to improve traffic flow of AVs. At the first level, we reduce the congestion by forming platoons and study how platooning helps vehicles deal with congestion or obstacles in uncertain situations. We performed experiments based on different challenging scenarios during the platoon’s formation and evolution. At the second level, we incorporate a collision avoidance mechanism using V2V and V2I infrastructures. We used SUMO, Omnet++ with veins for simulations. The results show significant improvement in performance in maintaining traffic flow.
14
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.
Full textAbstract:
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 vehicle-to-everything (V2X). We can say that wireless communication technologies have the potential to significantly change the efficiency and road safety, thus improving the efficiency of transport systems. An important factor is to comply with the requirements imposed on the use of vehicle safety and transport applications. Therefore, this paper focuses on several simulations on the basis of symmetry models, implemented in practical cases in order to streamline vehicle density and reduce traffic congestion. The scenarios aim at both the communication of the vehicles with each other and their prioritization by the infrastructure, so we can have a report on the efficiency of the proposed models.
15
Do Nascimento, Douglas Aguiar, Yuzo Iano, Hermes José Loschi, et al. "Sustainable Adoption of Connected Vehicles in the Brazilian Landscape: Policies, Technical Specifications and Challenges." Transactions on Environment and Electrical Engineering 3, no. 1 (2019): 44. http://dx.doi.org/10.22149/teee.v3i1.130.
Full textAbstract:
This review addresses the intervehicular communication in Connected Vehicles (CV) by emphasizing V2V (vehicle-to-vehicle) and V2I (vehicle-to-infrastructure) communications in terms of evolution, current standards, state-of-the-art studies, embedded devices, simulation, trends, challenges, and relevant legislation. This review is based on studies conducted from 2009 to 2019, government reports about the sustainable deployment of these technologies and their adoption in the Brazilian automotive market. Moreover, WAVE (Wireless Access in Vehicular Environment) and DSRC (Dedicated Short-range Communication) standards, the performance analysis of communication parameters and intervehicular available at the market are also described. The current status of ITS (Intelligent Transportation System) development in Brazil was reviewed, as well as the research institutes and governmental actions focused on introducing the concept of connected vehicles into the society. The Brazilian outlook for technological adoption concerning CVs was also discussed. Moreover, challenges related to technical aspects, safety and environmental issues, and the standardization for vehicle communication are also described. Finally, this review highlights the challenges and proposals from available technologies devoted to the roads and vehicular infrastructure communication, their evolution and upcoming trends.
16
Xing, Weijun, Fuqiang Liu, Chao Wang, and Ping Wang. "Stochastic Analysis of Network Coding Based Relay-Assisted I2V Communications in Intelligent Transportation Systems." Wireless Communications and Mobile Computing 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/5706254.
Full textAbstract:
We investigate the information transmission in a typical communication scenario in the intelligent transportation systems (ITS), that is, infrastructures providing ITS services that intend to broadcast independent messages to the vehicles within their coverage areas. Due to the dynamic nature of wireless signal propagation links and interuser interference, it is hard to guarantee satisfactory performance by direct infrastructure to vehicle (I2V) transmissions. To solve this problem, we propose allowing certain vehicles to serve as relays to assist in the information distribution process and applying a class of finite-field network codes to efficiently use the available spectrum resources. Considering that the infrastructure information sources and all vehicles are randomly distributed following Poisson point processes, we model a general urban ITS communication network and based on the stochastic geometry we derive the probability that a vehicle can successfully recover all the desired messages from its serving infrastructure. The analytical and numerical results clearly demonstrate that our proposed network coding based relay-assisted I2V transmission can significantly improve the communication performance of the conventional direct I2V transmission strategy.
17
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.
Full textAbstract:
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 algorithm, executed in a distributed fashion by each vehicle and is based on the cost function for alternative paths each time it needs to transmit a message. We utilize time delay as a performance metric and present the delay propagation rates when vehicles are transmitting high priority messages via QoSHVCP. Simulation results indicate that simultaneous usage of preexisting network infrastructure along with intervehicular communication provide lower delays, while maintaining the level of user’s performance. Our results show a great promise for their future use in VANETs.
18
Li, Yuying, and Qipeng Liu. "Intersection management for autonomous vehicles with vehicle-to-infrastructure communication." PLOS ONE 15, no. 7 (2020): e0235644. http://dx.doi.org/10.1371/journal.pone.0235644.
Full text
19
Wang, Jizhe, Yuanbing Zheng, Jian Wang, et al. "Ultra-Reliable Deep-Reinforcement-Learning-Based Intelligent Downlink Scheduling for 5G New Radio-Vehicle to Infrastructure Scenarios." Sensors 23, no. 20 (2023): 8454. http://dx.doi.org/10.3390/s23208454.
Full textAbstract:
Higher standards for reliability and efficiency apply to the connection between vehicle terminals and infrastructure by the fifth-generation mobile communication technology (5G). A vehicle-to-infrastructure system uses a communication system called NR-V2I (New Radio-Vehicle to Infrastructure), which uses Link Adaptation (LA) technology to communicate in constantly changing V2I to increase the efficacy and reliability of V2I information transmission. This paper proposes a Double Deep Q-learning (DDQL) LA scheduling algorithm for optimizing the modulation and coding scheme (MCS) of autonomous driving vehicles in V2I communication. The problem with the Doppler shift and complex fast time-varying channels reducing the reliability of information transmission in V2I scenarios is that they make it less likely that the information will be transmitted accurately. Schedules for autonomous vehicles using Space Division Multiplexing (SDM) and MCS are used in V2I communications. To address the issue of Deep Q-learning (DQL) overestimation in the Q-Network learning process, the approach integrates Deep Neural Network (DNN) and Double Q-Network (DDQN). The findings of this study demonstrate that the suggested algorithm can adapt to complex channel environments with varying vehicle speeds in V2I scenarios and by choosing the best scheduling scheme for V2I road information transmission using a combination of MCS. SDM not only increases the accuracy of the transmission of road safety information but also helps to foster cooperation and communication between vehicle terminals to realize cooperative driving.
20
Özdemir, Özge, İslam Kılıç, Ahmet Yazıcı, and Kemal Özkan. "A V2V System Module for Inter Vehicle Communication." Applied Mechanics and Materials 850 (August 2016): 16–22. http://dx.doi.org/10.4028/www.scientific.net/amm.850.16.
Full textAbstract:
An advanced driver assistance system (ADAS) is the premium technology for autonomous driving. It uses data from vision/camera systems, data from in vehicle sensors, and data from vehicle-to-vehicle (V2V) or Vehicle-to-Infrastructure (V2I) communication systems. The next generation systems even autonomous vehicles are expected to use the V2V information to increase the safety for non-line of sight environments. Exchanging some data like vehicle position, speed, status etc., helps to the driver about potential problems, or to avoid collisions. In this paper, a V2V communication system module is designed and tested on the vehicles.
21
Aamir, Abbas, Xing Wang, Mujeeb Ur Rehman, Hayat Asad, Shayan Ul Abidin, and YaLing Xun. "Implementation and Challenges of Edge Controller in EV to Monitoring." European Journal of Innovative Studies and Sustainability 1, no. 2 (2025): 30–43. https://doi.org/10.59324/ejiss.2025.1(2).04.
Full textAbstract:
Electric vehicle (EV) space, the integration of edge computing technologies has become a key advancement. This article discusses the implementation of edge controller in an EV system that incorporates a full suite of sensors and communication modules, including battery management system (BMS) sensors, driver health monitoring, and tire pressure monitoring. The proposed approach utilizes lidar, camera systems, vehicle-to-vehicle (V2V), and Vehicle to Everything (V2X) communication. Edge controllers facilitate real-time data processing and decision-making at vehicle level, improving operational efficiency, safety, and user convenience. Key capabilities include optimizing battery performance with an advanced BMS, real-time driver health assessment, monitoring tire pressure for improved safety, and using LiDAR and camera data to enhance environmental awareness. The integration of V2V, V2X, and V2I (vehicle-to-infrastructure) communications further supports intelligent transportation systems by enabling seamless data exchange with other vehicles and infrastructure. Additionally, the edge controller acts as a gateway, enabling secure and efficient communication between internal vehicle systems and external networks. This article describes the architecture, implementation, and benefits of using edge controllers in EV systems, highlighting their potential to revolutionize modern transportation by improving security, performance, and connectivity.
22
Abbas, Aamir, Wang Xing, Ur Rehman Mujeeb, Asad Hayat, Ul Abidin Shayan, and Xun YaLing. "Implementation and Challenges of Edge Controller in EV to Monitoring." European Journal of Innovative Studies and Sustainability 1, no. 2 (2025): 30–43. https://doi.org/10.59324/ejiss.2025.1(2).04.
Full textAbstract:
Electric vehicle (EV) space, the integration of edge computing technologies has become a key advancement. This article discusses the implementation of edge controller in an EV system that incorporates a full suite of sensors and communication modules, including battery management system (BMS) sensors, driver health monitoring, and tire pressure monitoring. The proposed approach utilizes lidar, camera systems, vehicle-to-vehicle (V2V), and Vehicle to Everything (V2X) communication. Edge controllers facilitate real-time data processing and decision-making at vehicle level, improving operational efficiency, safety, and user convenience. Key capabilities include optimizing battery performance with an advanced BMS, real-time driver health assessment, monitoring tire pressure for improved safety, and using LiDAR and camera data to enhance environmental awareness. The integration of V2V, V2X, and V2I (vehicle-to-infrastructure) communications further supports intelligent transportation systems by enabling seamless data exchange with other vehicles and infrastructure. Additionally, the edge controller acts as a gateway, enabling secure and efficient communication between internal vehicle systems and external networks. This article describes the architecture, implementation, and benefits of using edge controllers in EV systems, highlighting their potential to revolutionize modern transportation by improving security, performance, and connectivity.
23
Galvão, Gonçalo, Manuel Augusto Vieira, Manuela Vieira, Paula Louro, and Mário Véstias. "Enhancing Urban Traffic Management with Visible Light Communication and Reinforcement Learning." EPJ Web of Conferences 305 (2024): 00030. http://dx.doi.org/10.1051/epjconf/202430500030.
Full textAbstract:
This paper introduces Visible Light Communication (VLC) to enhance traffic signal efficiency and vehicle trajectory management at urban intersections. A multi-intersection traffic control system is proposed, integrating VLC localization services with learning-based traffic signal control. VLC facilitates communication between connected vehicles and infrastructure using headlights, streetlights, and traffic signals to transmit information. By leveraging vehicle-to-vehicle (V2V) and infrastructure-to-vehicle (I2V) interactions, joint transmission and data collection are achieved via mobile optical receivers. The system aims to reduce waiting times for pedestrians and vehicles while improving overall traffic safety. It is designed to be flexible and adaptive, accommodating diverse traffic movements during multiple signal phases. VLC cooperative mechanisms, transmission range, relative pose concepts, and queue/request/response interactions help balance traffic flow between intersections, enhancing the overall road network performance.
24
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.
Full textAbstract:
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 deployed in the world with explosively increasing mobile traffic. As many automobile manufacturers choose LTE on-board devices for telematics, the LTE system can be utilized also for safety purposes instead of 802.11p/WAVE based roadside units (RSUs). Previous literatures have studied mostly current LTE system analysis in aspect of theoretical network capacity and end-to-end delay to investigate feasibility of V2I communication. In this paper, we propose new enhancement of a current LTE system specified by 3rd-Generation Partnership Project (3GPP) LTE standards while addressing major delay challenges. From simulation, we confirm that our three key solutions can reduce end-to-end delay effectively in the LTE system to satisfy requirements of safety message delivery.
25
Raut, Sonali P., and A. C. Pise. "Smart Vehicle." Journal of Electronics,Computer Networking and Applied Mathematics, no. 41 (December 1, 2023): 38–47. http://dx.doi.org/10.55529/jecnam.41.38.47.
Full textAbstract:
This article gives a summary of the existing state of affairs and potential developments for smart vehicles while taking into consideration social, technological, and transportation aspects. Additionally, it examines the strategies for turning the smart into a generic vehicle, potential future developments, 5G, ADAS, and power source characteristics. This will make it possible for linked automobiles to take center stage in smart cities. Information may be exchanged between vehicles and road infrastructures as well as from one vehicle to another thanks to the vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication frameworks. It attempts to improve mobility, prevent or lessen auto accidents, and offer additional advantages for road safety. Motivations, open problems, and suggestions from other academics were taken into account to enhance and understand the various histories and characteristics of the business .All publications about data transfers in the V2I communication system were thoroughly searched. They use DSRC and 5G, Bluetooth and WIFI technology but there are many problems and data. I exploited RF frequencies to spontaneously broadcast the data in order to get around that.
26
Isaza, Cesar, Jonny Paul Zavala De Paz, Ely Karina Anaya, Jose Amilcar Rizzo Sierra, Cristian Felipe Ramirez-Gutierrez, and Pamela Rocio Ibarra Tapia. "An Efficient Data Transmission Protocol Based on Embedded System Using Cellular Technology Infrastructure." Applied Sciences 15, no. 5 (2025): 2562. https://doi.org/10.3390/app15052562.
Full textAbstract:
Every time the proper functioning of the vehicles must be guaranteed, as well as safety and efficiency. To achieve this, some expensive solutions are used, with few connectivity options and that fail to meet consumer demand. This paper presents a low-cost hardware system for the design of a real-time communication protocol between the electronic control unit (ECU) of a vehicle and a remote server based in a embedded system. A dual tone multi-frequency (DTMF) approach is implemented, so error codes (DTCs) are always available on a unit equipped with this system. The vehicle-to-infrastructure (V2I) communication protocol through voice channels is provided by cellular technology infrastructure, in which primary information is shared to monitor vehicles. With real-time data transmission, communication is established through a voice phone call between the vehicle’s ECU and the destination server, communicating the DTC codes. The system shows that the communication protocol has an effectiveness of 78.23%, which means that with the use of 2G technology, which is active and operating in many regions, it allows the information with the data to be received by the receiving user. Through this implemented system, it is ensured that if a vehicle suffers an accident or stops due to a mechanical failure in a region where there is no cellular technology coverage, information or a message can be sent so that through communication the rescue can be carried out using an cellular technology coverage.
27
Won, Jin Chung, and Ho Cho Tae. "Modeling and Simulation of Replay Attack Detection using V2X Message in Autonomous Vehicles in WSN based IoT Environment." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 5 (2020): 1279–87. https://doi.org/10.35940/ijeat.E1106.069520.
Full textAbstract:
An autonomous vehicle is a car that drives itself to its destination without driver intervention. Autonomous driving provides driver convenience and prevents accidents caused by driver carelessness. Autonomous vehicles recognize external environments using sensors such as cameras and riders. In addition, autonomous vehicles collect information by using vehicle-to-everything communication in places they do not recognize. During vehicle-to-everything communication, vehicle-to-infrastructure communication communicates with the infrastructure installed on the road and receives information. In other words, the autonomous vehicle receives information from the infrastructure located in an unrecognized place and grasps the road conditions. However, because infrastructure is expensive to install and maintain, technology that uses wireless sensor networks instead of infrastructure has been proposed. Since the sensor node used in the wireless sensor network is placed outside and communicates wirelessly, it is easily compromised from an attacker. Attackers can use a compromised node to attempt various attacks that affect the system, such as replay attacks. These attacks can also have a fatal effect on autonomous vehicles that use information from sensor nodes. The attacker constantly transmits false information to autonomous vehicles, causing a disruption in the driver's schedule. In addition, autonomous vehicles may cause traffic accidents due to path planning using incorrect information. The proposed scheme in this paper uses an autonomous vehicle to defend against replay attacks and detects compromised nodes. The sensor node sends a message to the base station and the autonomous vehicle to notify them when an event occurs. Thereafter, the message is transmitted to the traffic management center and the base station to be mutually verified. This paper shows that by modeling and simulating EF-ITS, it is possible to defend against replay attacks with a probability of 90% and detect compromised nodes.
28
Roy, Debarshi. "EV Point (Electric Vehicle Charging Infrastructure Project)." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48015.
Full textAbstract:
Abstract: Increasing numbers of individuals are adopting electric vehicles (EVs) due to climate change and environmental concerns. This has generated a high demand for efficient, easy-to-use, and smart charging stations. This project, Electric Vehicle Charging Station Point, provides a web application that helps users in finding nearby EV charging stations and repair stations quickly and accurately. Having electric car charging station infrastructure, or electric vehicle points (EVPs), is necessary for more individuals to adopt electric vehicles. Designing and maintaining electric vehicle points involve numerous challenges, including power quality, security, stability, communication, and interfacing with other systems. To overcome these challenges and gain the maximum benefits from electric vehicle points, various technologies and protocols can be utilized. This project helps in making smart and sustainable transport by providing easy access to EV charging stations and promoting the use of clean transport modes. Key Words: Electric Vehicle(EVs), Charging Station Locator, Sustainable Transportation, Leaflet.js Map Integration, Admin Panel, Chatbot assistance.
29
Luo, Yong. "Vehicle Encounter-Based Forwarding for Infrastructure-to-Vehicle Data Delivery with Partial Stationary Nodes Coverage." Applied Mechanics and Materials 543-547 (March 2014): 4112–16. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.4112.
Full textAbstract:
Intelligent Transportation Systems (ITS) is an important application of the Internet of Things, achieves the communication with Vehicular Ad Hoc Networks (VANET). The communication from Internet Access Point to vehicle (infrastructure-to-vehicle) has higher transmission delay jitter, and the reliability is extremely low. Based on the VANET construction,this paper proposed Vehicle Encounter-based Forwarding Algorithm, in the case of the partial installed the Stationary Nodes in the roadside, the AP selects the Target Vehicle from the vehicles which will encounter the Destination Vehicle based on the trajectories the AP has, and determines the transfer sequence, each node in the transmission process constantly adds new nodes, optimizing the value of the delay to the Target Vehicle,achieves Infrastructure-to-vehicle transmission. The simulation results show that the algorithm can improve the performance of the infrastructure-to-vehicle transmission delay jitter as well as the low reliability.
30
Haque, Khandaker Foysal, Ahmed Abdelgawad, Venkata Prasanth Yanambaka, and Kumar Yelamarthi. "LoRa Architecture for V2X Communication: An Experimental Evaluation with Vehicles on the Move." Sensors 20, no. 23 (2020): 6876. http://dx.doi.org/10.3390/s20236876.
Full textAbstract:
The industrial development of the last few decades has prompted an increase in the number of vehicles by multiple folds. With the increased number of vehicles on the road, safety has become one of the primary concerns. Inter vehicular communication, specially Vehicle to Everything (V2X) communication can address these pressing issues including autonomous traffic systems and autonomous driving. The reliability and effectiveness of V2X communication greatly depends on communication architecture and the associated wireless technology. Addressing this challenge, a device-to-device (D2D)-based reliable, robust, and energy-efficient V2X communication architecture is proposed with LoRa wireless technology. The proposed system takes a D2D communication approach to reduce the latency by offering direct vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication, rather than routing the data via the LoRa WAN server. Additionally, the proposed architecture offers modularity and compact design, making it ideal for legacy systems without requiring any additional hardware. Testing and analysis suggest the proposed system can communicate reliably with roadside infrastructures and other vehicles at speeds ranging from 15–50 km per hour (kmph). The data packet consists of 12 bytes of metadata and 28 bytes of payload. At 15 kmph, a vehicle sends one data packet every 25.9 m, and at 50 kmph, it sends the same data packet every 53.34 m with reliable transitions.
31
Petrov, Tibor, Peter Pocta, and Tatiana Kovacikova. "Benchmarking 4G and 5G-Based Cellular-V2X for Vehicle-to-Infrastructure Communication and Urban Scenarios in Cooperative Intelligent Transportation Systems." Applied Sciences 12, no. 19 (2022): 9677. http://dx.doi.org/10.3390/app12199677.
Full textAbstract:
Vehicle-to-Infrastructure (V2I) communication is expected to bring tremendous benefits in terms of increased road safety, improved traffic efficiency and decreased environmental impact. In 2017, The 3rd Generation Partnership Project (3GPP) released 3GPP Release 14, which introduced Cellular Vehicle-to-Everything communication (C-V2X), bringing Vehicle-to-Everything (V2X) communication capabilities to cellular networks, hence creating an alternative to Dedicated Short-Range Communications (DSRC) technology. Since then, every new 3GPP Release including Release 15, a first full set of 5G standards, offered V2X capabilities. In this paper, we present a complex simulation study, which benchmarks the performance of LTE-based and 5G-based C-V2X technologies deployed for V2I communication in an urban setting. The study compares LTE and 5G deployed both in the Device-to-Device in mode 3 and in infrastructural mode. Target performance indicators used for comparison are average end-to-end (E2E) latency and Packet Delivery Ratio (PDR). The performance of those technologies is studied under varying communication conditions realized by a variation of vehicle traffic intensity, communication perimeter and message generation frequency. Furthermore, the effects of infrastructure deployment density on the performance of selected C-V2X communication technologies are explored by comparing the performance of the investigated technologies for three infrastructure density scenarios, i.e., involving two, four and eight base stations (BSs). The performance results are put into a context of the connectivity requirements of the most popular V2I communication services. The results indicate that both C-V2X technologies can support all the considered V2I services without any limitations in terms of the communication perimeter, traffic intensity and message generation frequency. When it comes to the infrastructure density deployment, the results show that increasing the density of the infrastructure deployment from two BSs to four BSs offers a remarkable performance improvement for all the considered V2I services as well as investigated technologies and their modes. Further infrastructure density increase (from four BSs to eight BSs) does not yield any practical benefits in the investigated urban scenario.
32
Kumar, Surender, and Vikram Singh. "Hash function and DSRC based secure communication protocol for VANET-WAVE architecture." Journal of Discrete Mathematical Sciences & Cryptography 26, no. 3 (2023): 829–39. http://dx.doi.org/10.47974/jdmsc-1759.
Full textAbstract:
The research and development community has recently become more interested in automotive adhoc networks due to their extensive application possibilities in traffic control and the social networking of automobiles. Vehicle-to-vehicle (V2V) and vehicle-toinfrastructure (V2I) communication is made possible through vehicular adhoc networks. For safety and other reasons, vehicles connected by vehicular adhoc networks exchange messages. Particularly vulnerable to security and privacy breaches are safety messages. In every vehicle-to-vehicle and vehicle-to-infrastructure communication exchange, information about the vehicle, the driver, and the authentication of transferred information are crucial considerations. A Dedicated Short Range Communication (DSRC) protocol is incorporated with the Wireless Access Vehicular Environments architecture in the current communication. The DSRC protocol incorporates a secure key exchange method to encrypt and decrypt the basic safety messages sent between the vehicles at the receiving end. The end-to-end delay of the communications is barely changed, however the performance of the DSRC is slightly impacted by the encryption and decryption. Our findings demonstrate that, despite a modest drop in DSRC performance, our protocol is too secure for the BSM (Basic Safety Message) to be cracked.
33
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.
Full textAbstract:
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) communications. All the information related to the wide-sense V2X channels, such as the standardization, scenarios, characters, and modeling philosophies, is organized and summarized to form the comprehensive understanding of the development of the WSV2X channels.
34
Emon, Tahsin Eyon, and Ismail Jabiullah Md. "A Modern Vehicle Management System for Smooth Communication." Recent Trends in Information Technology and its Application 7, no. 3 (2024): 64–70. https://doi.org/10.5281/zenodo.13439603.
Full textAbstract:
<em>The Modern Vehicle Management System is a web application designed to efficiently manage vehicles, drivers, and associated information through a user-friendly interface. Developed in response to the challenges of traditional vehicle management methods, this system seeks to automate and streamline the process, enhancing operational efficiency. Built using technologies like HTML, CSS, Bootstrap, JavaScript, PHP, Laravel, and jQuery, the application includes modules for managing vehicles, drivers, complaints, and assignments. The system simplifies vehicle management, reduces errors, and improves communication, but it may face challenges like scalability and data security. It is primarily applied in fleet management scenarios but may be limited by its dependency on web-based infrastructure.</em>
35
Emon, Tahsin Eyon, and Ismail Jabiullah Md. "A Modern Vehicle Management System for Smooth Communication." Recent Trends in Information Technology and its Application 7, no. 3 (2024): 64–70. https://doi.org/10.5281/zenodo.13439603.
Full textAbstract:
<em>The Modern Vehicle Management System is a web application designed to efficiently manage vehicles, drivers, and associated information through a user-friendly interface. Developed in response to the challenges of traditional vehicle management methods, this system seeks to automate and streamline the process, enhancing operational efficiency. Built using technologies like HTML, CSS, Bootstrap, JavaScript, PHP, Laravel, and jQuery, the application includes modules for managing vehicles, drivers, complaints, and assignments. The system simplifies vehicle management, reduces errors, and improves communication, but it may face challenges like scalability and data security. It is primarily applied in fleet management scenarios but may be limited by its dependency on web-based infrastructure.</em>
36
Sarango, Aaron, Génesis Vásquez, and Renato Torres. "A Vehicle-to-Vehicle Communication System using ZigBee." IOP Conference Series: Earth and Environmental Science 1370, no. 1 (2024): 012008. http://dx.doi.org/10.1088/1755-1315/1370/1/012008.
Full textAbstract:
Abstract Vehicular communication is a promising technology on the rise, holding the promise of enhancing road safety through the facilitation of communication among vehicles and with the road infrastructure. This article introduces a communication model for Vehicle-to-Vehicle (V2V) interactions, utilizing the ZigBee wireless communication protocol. The implementation involves the creation of a sensor network where information is exchanged among the connected vehicles. The prototype was easy to implement in vehicles due to its modular design and was subjected to experimental road tests to check the system efficiency, communication range and data exchange. The test results showed that the prototype is capable of reliably and efficiently exchange data between the vehicles over distances greater than 300 meters, exceeding the general limits associated with the ZigBee protocol. In addition, the prototype was able to warn the driver of potential road hazards and possible collisions at intersections. The findings of this research project demonstrate the potential of ZigBee technology for the development of V2V systems. However, further research is required to develop and validate more robust and scalable vehicular communication prototypes.
37
Ibrahim Ali, Qutaiba, and Hussein M. Mohammed. "Enhancing Road Safety and Network Intelligence through Vehicleto-Everything (V2X) Communication: Architectures, Models, and Performance Analysis." Transportation Development Research 3, no. 1 (2025): 1–13. https://doi.org/10.55121/tdr.v3i1.426.
Full textAbstract:
Vehicle-to-Everything (V2X) communication is a transformative and rapidly advancing paradigm that enables real-time, bidirectional data exchange between vehicles, infrastructure, pedestrians, and broader network systems using wireless technologies. As urban mobility becomes more complex and traffic congestion, collision rates, and demand for safer and more efficient transportation rise, V2X emerges as a key enabler of smart mobility and autonomous driving. By integrating various modes of communication—including Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), Vehicle-to-Network (V2N), and Vehicle-to-Pedestrian (V2P)—V2X provides a unified platform for situational awareness and proactive decision-making. This paper offers a comprehensive survey of V2X communication modes, detailing their architectures, use cases, and deployment challenges. Each communication mode plays a distinct role in enhancing traffic flow, improving road safety, and reducing the burden on human drivers. Moreover, the study introduces mathematical models designed to evaluate crucial performance metrics such as latency, packet delivery ratio (PDR), and network throughput under varying conditions, including traffic density, node mobility, and infrastructure placement. The simulation results underscore the impact of relay node positioning, Road Side Unit (RSU) density, and packet size on the efficiency and reliability of V2X networks. The concluding section highlights the need for dependable and scalable V2X infrastructure and advocates for the integration of intelligent routing algorithms, adaptive communication strategies, and context-aware systems. These advancements are vital to achieving robust, future-proof smart transportation networks that can adapt to evolving technological and societal demands.
38
Tran, Tram Thi Minh, Callum Parker, Xinyan Yu, et al. "Evaluating Autonomous Vehicle External Communication Using a Multi-Pedestrian VR Simulator." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8, no. 3 (2024): 1–26. http://dx.doi.org/10.1145/3678506.
Full textAbstract:
With the rise of autonomous vehicles (AVs) in transportation, a pressing concern is their seamless integration into daily life. In multi-pedestrian settings, two challenges emerge: ensuring unambiguous communication to individual pedestrians via external Human-Machine Interfaces (eHMIs), and the influence of one pedestrian over another. We conducted an experiment (N=25) using a multi-pedestrian virtual reality simulator. Participants were paired and exposed to three distinct eHMI concepts: on the vehicle, within the surrounding infrastructure, and on the pedestrian themselves, against a baseline without any eHMI. Results indicate that all eHMI concepts improved clarity of communication over the baseline, but differences in their effectiveness were observed. While pedestrian and infrastructure communications often provided more direct clarity, vehicle-based cues at times introduced uncertainty elements. Furthermore, the study identified the role of co-located pedestrians: in the absence of clear AV communication, individuals frequently sought cues from their peers.
39
Vieira, Manuel Augusto, Gonçalo Galvão, Manuela Vieira, Paula Louro, Mário Vestias, and Pedro Vieira. "Enhancing Urban Intersection Efficiency: Visible Light Communication and Learning-Based Control for Traffic Signal Optimization and Vehicle Management." Symmetry 16, no. 2 (2024): 240. http://dx.doi.org/10.3390/sym16020240.
Full textAbstract:
This paper introduces a novel approach, Visible Light Communication (VLC), to optimize urban intersections by integrating VLC localization services with learning-based traffic signal control. The system enhances communication between connected vehicles and infrastructure using headlights, streetlights, and traffic signals to transmit information. Through Vehicle-to-Vehicle (V2V) and Infrastructure-to-Vehicle (I2V) interactions, joint data transmission and collection occur via mobile optical receivers. The goal is to reduce waiting times for pedestrians and vehicles, enhancing overall traffic safety by employing flexible and adaptive measures accommodating diverse traffic movements. VLC cooperative mechanisms, transmission range, relative pose concepts, and queue/request/response interactions help balance traffic flow and improve road network performance. Evaluation in the SUMO urban mobility simulator demonstrates advantages, reducing waiting and travel times for both vehicles and pedestrians. The system employs a reinforcement learning scheme for effective traffic signal scheduling, utilizing VLC-ready vehicles to communicate positions, destinations, and routes. Agents at intersections calculate optimal strategies, communicating to optimize overall traffic flow. The proposed decentralized and scalable approach, especially suitable for multi-intersection scenarios, showcases the feasibility of applying reinforcement learning in real-world traffic scenarios.
40
Zhang, Lingyu, Li Wang, Lili Zhang, Xiao Zhang, and Dehui Sun. "An RSU Deployment Scheme for Vehicle-Infrastructure Cooperated Autonomous Driving." Sustainability 15, no. 4 (2023): 3847. http://dx.doi.org/10.3390/su15043847.
Full textAbstract:
For autonomous driving vehicles, there are currently some issues, such as limited environmental awareness and locally optimal decision-making. To increase the capacity of autonomous cars’ environmental awareness, computation, decision-making, control, and execution, intelligent roads must be constructed, and vehicle–infrastructure cooperative technology must be used. The Roadside unit (RSU) deployment, a critical component of vehicle–infrastructure cooperative autonomous driving, has a direct impact on network performance, operation effects, and control accuracy. The current RSU deployment mostly uses the large-spacing and low-density concept because of the expensive installation and maintenance costs, which can accomplish the macroscopic and long-term communication functions but fall short of precision vehicle control. Given these challenges, this paper begins with the specific requirements to control intelligent vehicles in the cooperative vehicle–infrastructure environment. An RSU deployment scheme, based on the improved multi-objective quantum-behaved particle swarm optimization (MOQPSO) algorithm, is proposed. This RSU deployment scheme was based on the maximum coverage with time threshold problem (MCTTP), with the goal of minimizing the number of RSUs and maximizing vehicle coverage of communication and control services. Finally, utilizing the independently created open simulation platform (OSP) simulation system, the model and algorithm’s viability and effectiveness were assessed on the Nguyen–Dupuis road network. The findings demonstrate that the suggested RSU deployment scheme can enhance network performance and control the precision of vehicle–infrastructure coordination, and can serve as a general guide for the deployment of RSUs in the same application situation.
41
Kannan, Raju Jagadeesh, Malothu Amru, Surulivelu Muthumarilakshmi, et al. "A low-cost localization method in autonomous vehicle by applying light detection and ranging technology." Indonesian Journal of Electrical Engineering and Computer Science 36, no. 3 (2024): 1739. http://dx.doi.org/10.11591/ijeecs.v36.i3.pp1739-1749.
Full textAbstract:
The autonomous platform uses global positioning system (GPS) to localize the vehicle. In addition, light detection and ranging (LIDAR) and the high precision camera help to identify the turns in the road. The proposed system can help to determine the road turns with higher accuracy without utilizing LIDAR and high-precision camera technology. This research aims to implement a cost-effective simultaneous localization system that can reduce the cost by half for any autonomous vehicle. The existing system is more complex due to the inclusion of LIDAR technology. In contrast, the proposed approach uses beacon communication between vehicles and infrastructure and long-range (LoRa) for vehicle-to-vehicle (V2V) and vehicle to infrastructure (V2I) communication. The simulation result illustrates that the proposed approach provides better performance.
42
Raju, Jagadeesh Kannan Malothu Amru Surulivelu Muthumarilakshmi Jeyaprakash Jeyapriya Stalin Aghalya Dhakshnamoorthy Muthukumaran Subbiah Murugan. "A low-cost localization method in autonomous vehicle by applying light detection and ranging technology." Indonesian Journal of Electrical Engineering and Computer Science 36, no. 3 (2024): 1739–49. https://doi.org/10.11591/ijeecs.v36.i3.pp1739-1749.
Full textAbstract:
The autonomous platform uses global positioning system (GPS) to localize the vehicle. In addition, light detection and ranging (LIDAR) and the high precision camera help to identify the turns in the road. The proposed system can help to determine the road turns with higher accuracy without utilizing LIDAR and high-precision camera technology. This research aims to implement a cost-effective simultaneous localization system that can reduce the cost by half for any autonomous vehicle. The existing system is more complex due to the inclusion of LIDAR technology. In contrast, the proposed approach uses beacon communication between vehicles and infrastructure and long-range (LoRa) for vehicle-to-vehicle (V2V) and vehicle to infrastructure (V2I) communication. The simulation result illustrates that the proposed approach provides better performance.
43
Zadobrischi, Eduard, and Mihai Dimian. "Vehicular Communications Utility in Road Safety Applications: A Step toward Self-Aware Intelligent Traffic Systems." Symmetry 13, no. 3 (2021): 438. http://dx.doi.org/10.3390/sym13030438.
Full textAbstract:
The potential of wireless technologies is significant in the area of the safety and efficiency of road transport and communications systems. The challenges and requirements imposed by end users and competent institutions demonstrate the need for viable solutions. A common protocol by which there could be vehicle-to-vehicle and vehicle-to-road communications is ideal for avoiding collisions and road accidents, all in a vehicular ad hoc network (VANET). Ways of transmitting warning messages simultaneously by vehicle-to-vehicle and vehicle-to-infrastructure communications by various multi-hop routings are set out. Approaches to how to improve communication reliability by achieving low latency are addressed through the multi-channel (MC) technique based on two non-overlaps for vehicle-to-vehicle (V2V) and vehicle-to-road (V2R) or road-to-vehicle (R2V) communications. The contributions of this paper offer an opportunity to use common communication adaptable protocols, depending on the context of the situation, coding techniques, scenarios, analysis of transfer rates, and reception of messages according to the type of protocol used. Communications between the road infrastructure and users through a relative communication protocol are highlighted and simulated in this manuscript. The results obtained by the proposed and simulated scenarios demonstrate that it is complementary and that the common node of V2V/V2R (R2V) communication protocols substantially improves the process of transmitting messages in low-latency conditions and is ideal for the development of road safety systems.
44
Wang, Biyao, Yi Han, Siyu Wang, et al. "A Review of Intelligent Connected Vehicle Cooperative Driving Development." Mathematics 10, no. 19 (2022): 3635. http://dx.doi.org/10.3390/math10193635.
Full textAbstract:
With the development and progress of information technology, especially V2X technology, the research focus of intelligent vehicles gradually shifted from single-vehicle control to multi-vehicle control, and the cooperative control system of intelligent connected vehicles became an important topic of development. In order to track the research progress of intelligent connected vehicle cooperative driving systems in recent years, this paper discusses the current research of intelligent connected vehicle cooperative driving systems with vehicles, infrastructure, and test sites, and analyzes the current development status, development trend, and development limitations of each object. Based on the analysis results of relevant references of the cooperative control algorithm, this paper expounds on vehicle collaborative queue control, vehicle collaborative decision making, and vehicle collaborative positioning. In the case of taking the infrastructure as the object, this paper expounds the communication security, communication delay, and communication optimization algorithm of the vehicle terminal and the road terminal of intelligent connected vehicles. In the case of taking the test site as the object, this paper expounds the development process and research status of the real vehicle road test platform, virtual test platform, test method, and evaluation mechanism, and analyzes the problems existing in the intelligent connected vehicle test environment. Finally, the future development trend and limitations of intelligent networked vehicle collaborative control system are discussed. This paper summarizes the intelligent connected car collaborative control system, and puts forward the next problems to be solved and the direction of further exploration. The research results can provide a reference for the cooperative driving of intelligent vehicles.
45
Hussain, Asad, Umar Farooq, and Ihsan Rabbi. "Facilitating Digital Experience Sharing Among Vehicles through Utilisation of Pre-existing Communication Infrastructure." Journal of Informatics and Web Engineering 4, no. 2 (2025): 262–74. https://doi.org/10.33093/jiwe.2025.4.2.17.
Full textAbstract:
Vehicular communication applications are expanding quickly because of the approach of related technologies, such as vehicular cloud and the Internet of Vehicles (IoV). The combination of the Internet of Things (IoT) and smart transportation is the Internet of vehicles. Data related to infotainment, safety, and effectiveness with different vehicles and the Sustainable framework of vehicles can be exchanged. However, after the appearance of such empowering advancements, still a huge number of ideas need research. Data sharing (related trips and navigation) of new/old models and other new/old model vehicles with the owner's agreement should be taken care of. This paper proposes a novel technique which is a digital experience-sharing system. With the proposed system, vehicles can share their experience with different vehicles depending on the owner's authorizations. The technique of digital experience sharing will give vehicles the ability to share and reestablish past information and data (related trips and navigation). A traffic trace containing the information of the vehicle: longitude, latitude, trip information, time, and location. Open street map (OSM) and simulation of urban mobility (SUMO) tool have been used for the simulation of the proposed technique. Further, the structure of the message, for productive communication is provided with implementation details in this work. Additionally, the application is used in the vehicle, and the information related to the start, stay, and end points of the journey is stored on a cloud. After some time, the same place is visited by the same vehicle, and a notification about previous visit information is displayed by the application.
46
Santa, Jose, and Gómez Antonio Skarmeta. "Sharing Context-Aware Road and Safety Information." IEEE Pervasive Computing 8, no. 3 (2009): 58–65. https://doi.org/10.1109/MPRV.2009.56.
Full textAbstract:
We present an integrated vehicular system for the collection, management, and provision of context-aware information on traffic and driver location. This system uses an integrated vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication paradigm enriched with an information management system. The infrastructure manages vehicle-detected safety hazards and other relevant information, adapting them to the vehicle's context and driver's preferences. This vehicular integrated system resembles the concept of a smart road.
47
Zadobrischi, Eduard, Mihai Dimian, and Mihai Negru. "The Utility of DSRC and V2X in Road Safety Applications and Intelligent Parking: Similarities, Differences, and the Future of Vehicular Communication." Sensors 21, no. 21 (2021): 7237. http://dx.doi.org/10.3390/s21217237.
Full textAbstract:
As the technological advancement in the automotive field increases and the complexity of vehicle and infrastructure applications is extremely high, new directions and approaches are needed in this field. Supporting and developing vehicular applications dedicated to road safety by analyzing the current behavior of existing networks in various forms is imperative. This paper studies and implements a DSRC-type communications infrastructure that receives a set of controllable and adjustable indicators, which can provide messages to network drivers in a timely manner. The implementation is based on the 802.11p protocol and initially addresses pedestrian infrastructure or pedestrian safety, controlled areas, and perimeters that allow intelligent communications. The design and setting of the communication parameters in the lower layer of the DSRC stack for vehicle applications are part of this work, aspects that are also relevant in the case of autonomous vehicles.
48
Sun, Shengqing. "Optimizing Channel Resource Allocation in Dynamic Vehicular Environments for Enhanced Throughput." Journal of Civil and Transportation Engineering 1, no. 4 (2024): 17–22. https://doi.org/10.62517/jcte.202406404.
Full textAbstract:
In the rapidly evolving domain of intelligent transportation systems, the vehicular network is pivotal for achieving vehicle intelligence and road safety. This paper addresses the critical issue of optimizing channel resource allocation in dynamic vehicular environments to enhance communication stability and throughput. The proposed solution leverages a mixed-integer nonlinear programming (MINLP) framework to dynamically allocate subchannels and power among vehicles, ensuring high throughput and reliable communication. The algorithm integrates both V2V (vehicle-to-vehicle) and V2I (vehicle-to-infrastructure) communication types, adapting to the complex and changing road conditions. By utilizing the Link Expiry Time (LET) strategy and MIMO communication techniques, the approach ensures timely updates and robust data transmission. Through extensive simulations, the proposed method demonstrates significant improvements in system sum rate and transmission success rate compared to traditional schemes. This research advances intelligent transportation systems by providing a scalable and effective solution to meet the increasing demands of vehicular communications.
49
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.
Full textAbstract:
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 mobility models and simulation tools. Comparative performance evaluations show that the IEEE 802.11p achieves higher network throughput, low end-to-end delay, and higher delivery ratio compared to IEEE 802.11b. Overall, our main objective is to describe potential advantages, research challenges, and applications of V2V networks and show how IEEE 802.11p and IEEE 802.11b will perform under different radio propagation environments.
50
Punjabi, Bharati. "A Survey on Vehicle to Infrastructure Communication System." IOSR Journal of Computer Engineering 15, no. 6 (2013): 18–22. http://dx.doi.org/10.9790/0661-1561822.
Full text