IEEE Organizations related to Vehicle-to-infrastructure

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Conferences related to Vehicle-to-infrastructure

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Periodicals related to Vehicle-to-infrastructure

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Most published Xplore authors for Vehicle-to-infrastructure

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Xplore Articles related to Vehicle-to-infrastructure

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A Laser Curtain for Detecting Heterogeneous Lane-less Traffic

2019 11th International Conference on Communication Systems & Networks (COMSNETS), 2019

Traffic management system plays a vital role in the present smart city applications. In developing countries, heterogeneous lane-less traffic management is a significant challenge. This paper proposes a dual-purpose laser-based sensor configuration for vehicle classification. It classifies heterogeneous and less-lane disciplined traffic based on vehicles width. This work also suggests a methodology for the vehicle to infrastructure (V2I) communication using ...


Vehicle-to-Infrastructure Radio Channel Delay Spread Measurement in Expressway Environment at 5.9 GHz

2018 International Symposium on Antennas and Propagation (ISAP), 2018

This paper presents a multipath measurement for vehicle-to-infrastructure expressway environment at 5.9 GHz band. The measurement campaign has been conducted in expressway #45 using a SIMO configuration channel sounder with a bandwidth of 100 MHz developed by ETRI. This paper presents the measurement of Doppler shifts and delay spreads for expressway environment which has the traffic of 2400 vehicles / ...


Real-time traffic management analyzing V2I communication at the edge of the network

2018 IEEE International Smart Cities Conference (ISC2), 2018

This demo and poster show the use case of an emergency vehicle approaching an intersection of a city, requesting preemption via V2I communication (DSRC), which is analyzed in real-time through a data broker function at the edge of the secure network.


Mapping and Deep Analysis of Vehicle-to-Infrastructure Communication Systems: Coherent Taxonomy, Datasets, Evaluation and Performance Measurements, Motivations, Open Challenges, Recommendations, and Methodological Aspects

IEEE Access, 2019

The vehicle-to-infrastructure (V2I) communication system allows the exchange of information between vehicles and road infrastructures. It aims to avoid or reduce vehicular accidents, increase mobility, and provide other road safety benefits. This paper aimed to review and analyze the literature on data exchanges in the V2I communication system. The factors considered to improve the understanding of various contextual aspects and ...


Reinforcement Learning Policy for Adaptive Edge Caching in Heterogeneous Vehicular Network

2018 IEEE Global Communications Conference (GLOBECOM), 2018

The flourishing vehicular applications require vehicles to download huge amount of Internet data, which consumes significant backhaul bandwidth and considerable time for data content delivery. Caching the popular data at network edge station can alleviate the congestion at backhaul network and reduce the data delivery delay. In this paper, we propose a dynamic edge caching policy for Heterogeneous Vehicular Network ...


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Educational Resources on Vehicle-to-infrastructure

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IEEE-USA E-Books

  • A Laser Curtain for Detecting Heterogeneous Lane-less Traffic

    Traffic management system plays a vital role in the present smart city applications. In developing countries, heterogeneous lane-less traffic management is a significant challenge. This paper proposes a dual-purpose laser-based sensor configuration for vehicle classification. It classifies heterogeneous and less-lane disciplined traffic based on vehicles width. This work also suggests a methodology for the vehicle to infrastructure (V2I) communication using visible light.

  • Vehicle-to-Infrastructure Radio Channel Delay Spread Measurement in Expressway Environment at 5.9 GHz

    This paper presents a multipath measurement for vehicle-to-infrastructure expressway environment at 5.9 GHz band. The measurement campaign has been conducted in expressway #45 using a SIMO configuration channel sounder with a bandwidth of 100 MHz developed by ETRI. This paper presents the measurement of Doppler shifts and delay spreads for expressway environment which has the traffic of 2400 vehicles / hour.

  • Real-time traffic management analyzing V2I communication at the edge of the network

    This demo and poster show the use case of an emergency vehicle approaching an intersection of a city, requesting preemption via V2I communication (DSRC), which is analyzed in real-time through a data broker function at the edge of the secure network.

  • Mapping and Deep Analysis of Vehicle-to-Infrastructure Communication Systems: Coherent Taxonomy, Datasets, Evaluation and Performance Measurements, Motivations, Open Challenges, Recommendations, and Methodological Aspects

    The vehicle-to-infrastructure (V2I) communication system allows the exchange of information between vehicles and road infrastructures. It aims to avoid or reduce vehicular accidents, increase mobility, and provide other road safety benefits. This paper aimed to review and analyze the literature on data exchanges in the V2I communication system. The factors considered to improve the understanding of various contextual aspects and the characteristics of the field were motivations, open challenges, and recommendations from other researchers. We systematically searched all articles on data exchanges in the V2I communication system from the three main databases, namely ScienceDirect, Web of Science, and IEEE Xplore, from 2008 to 2018. These indices were sufficiently extensive to encompass our field of literature. A total of 70 articles were selected based on our inclusion and exclusion criteria. Most studies (42/70) covered a developed V2I communication system, while numerous articles (22/70) focused on general research on the V2I communication system. The smallest portion of articles (6/70) comprised reviews and surveys. The V2I system plays a key role in vehicular ad hoc networks but is less implemented than vehicle-to-vehicle communication owing to its deployment costs and maintenance requirements. However, numerous studies have been conducted on the V2I communication system to promote its utility. Research areas on V2I communication classification vary but are all equally vital. We expect this systematic review to help emphasize current research opportunities and thus extend and create additional research fields.

  • Reinforcement Learning Policy for Adaptive Edge Caching in Heterogeneous Vehicular Network

    The flourishing vehicular applications require vehicles to download huge amount of Internet data, which consumes significant backhaul bandwidth and considerable time for data content delivery. Caching the popular data at network edge station can alleviate the congestion at backhaul network and reduce the data delivery delay. In this paper, we propose a dynamic edge caching policy for Heterogeneous Vehicular Network via Reinforcement Learning on adaptive traffic intensity and hot content popularity. We aim to enhance the download rate of vehicles adapting to dynamic vehicle velocity and hot file pool by caching the popular content on heterogeneous network edge stations. The proposed policy makes use of real time information and jointly considers download rate for each file and utility for edge stations to improve overall download performance. Simulation results show that our proposed policy can achieve better download rate than random and fixed caching policies.

  • A game-based adaptive traffic signal control policy using the vehicle to infrastructure (V2I)

    In this paper, we propose a game-based policy for the signal control of an isolated intersection together with the rerouting of the vehicles in this intersection using V2I technology. The game starts at the beginning of each signal cycle on the condition that there are vehicles delayed at the intersection at the end of current cycle. Then the delayed vehicles negotiate with the signal controller to decide the signal setting for next cycle while rerouting their next movements. During the game, each delayed vehicle selects one route from their own acceptable route space to reduce the intersection delay time, while the signal controller adjusts the signal setting to meet the traffic demand of the delayed vehicles as well as maximize the throughput. The game can be terminated with end conditions in finite rounds. The vehicles coming after the end of game reroute in a similar way with the delayed vehicles but based on the game results. Numerical experiments on a calibrated network of Caohejing District in Shanghai indicate that our proposed method can effectively mitigate road congestions and improve the network capacity, especially at high traffic loads.

  • Cooperative V2X for High Definition Map Transmission Based on Vehicle Mobility

    High-definition (HD) map transmission is considered as a key technology for automatic driving, which enables vehicles to obtain the precise road and surrounding environment information for further localization and navigation. Guaranteeing the huge requirement of HD map data, the objective of this paper is to reduce the power consumption of vehicular networks. By leveraging the mobile rule of vehicles, a collaborative vehicle to everything (V2X) transmission scheme is proposed for the HD map transmission. Numerical results indicate that the proposed scheme can satisfy the transmission rate requirement of HD map with low power consumption.

  • Scalable and Energy-Efficient Millimeter Massive MIMO Architectures: Reflect-Array and Transmit-Array Antennas

    Hybrid analog-digital architectures are considered as promising candidates for implementing millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems since they enable a considerable reduction of the required number of costly radio frequency (RF) chains by moving some of the signal processing operations into the analog domain. However, the analog feed network, comprising RF dividers, combiners, phase shifters, and line connections, of hybrid MIMO architectures is not scalable due to its prohibitively high power consumption for large numbers of transmit antennas. Motivated by this limitation, in this paper, we study novel massive MIMO architectures, namely reflect-array (RA) and transmit-array (TA) antennas. We show that the precoders for RA and TA antennas have to meet different constraints compared to those for conventional MIMO architectures. Taking these constraints into account and exploiting the sparsity of mmWave channels, we design an efficient precoder for RA and TA antennas based on the orthogonal matching pursuit algorithm. Furthermore, in order to fairly compare the performance of RA and TA antennas with conventional fully-digital and hybrid MIMO architectures, we develop a unified power consumption model. Our simulation results show that unlike conventional MIMO architectures, RA and TA antennas are highly energy efficient and fully scalable in terms of the number of transmit antennas.

  • ML-Based Approach to Detect DDoS Attack in V2I Communication Under SDN Architecture

    The need for Internet-based services is increasing at a tremendous pace in smart cities. The driver and occupants of the vehicle access Internet, and different intelligent transportation system (ITS) related services such as real-time traffic information, parking space availability, downloading the map, etc., in a vehicle to infrastructure communication (V2I) mode. In a highly dynamic network environment like vehicular network, software-defined networking (SDN) promises to be an ideal solution. However, it also opens doors for various distributed denial of service (DDoS) attacks. An attacker can easily flood short-lived spoofed flows and exhaust network resources. This motivates us to find a solution to detect the attacks in a V2I communication under SDN. In this paper, we propose a machine learning (ML) based DDoS attack detection. The proposed system uses various ML schemes, and few of them found to be accurate with a high detection rate and a relatively low false alarm rate.

  • Task Allocation Based on Task Deployment in Autonomous Vehicular Cloud

    In the Autonomous Vehicular Cloud (AVC), when the services requested by the users are comprised of multiple tasks with dependencies in between on the conditions of limited resources of the vehicle, deploying dependency tasks by using Service Function Chain (SFC) can improve the success ratio of task execution. Therefore, this paper studies tasks allocation problem with dependent relationship. Taking into account the stability of the node communication link and its computing capability, we connect the tasks in the order of dependencies into a service sequence accordingly, minimizing the task completion time to deploying the task, thereby to ensure the smooth execution of services and improve the success ration of the task execution. Compared with the Optimal Generation Scheme (OGS) algorithm, the success ratio of this scheme is 11.36% higher in the highway AVC with rapidly changing topology.



Standards related to Vehicle-to-infrastructure

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Jobs related to Vehicle-to-infrastructure

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