IEEE 802.11p vehicle to infrastructure communications in urban environments

Gozálvez, Javier; Sepulcre, Miguel; Bauza, Ramon

doi:10.1109/mcom.2012.6194400

Cited by 242 publications

(116 citation statements)

References 6 publications

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“…Given these challenges, the idea of vehicle-to-vehicle [117] communication (V2V), together with vehicle-to-infrastructure [118] communication (V2I) has been proposed. The idea is to share knowledge compiled from a fleet of connected vehicles and the infrastructure, leaving little or no room for error.…”

Section: Appendix 1: Sensors and Monitoring Technologiesmentioning

confidence: 99%

Autonomous vehicles: challenges, opportunities, and future implications for transportation policies

et al. 2016

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This study investigates the challenges and opportunities pertaining to transportation policies that may arise as a result of emerging autonomous vehicle (AV) technologies. AV technologies can decrease the transportation cost and increase accessibility to low-income households and persons with mobility issues. This emerging technology also has far-reaching applications and implications beyond all current expectations. This paper provides a comprehensive review of the relevant literature and explores a broad spectrum of issues from safety to machine ethics. An indispensable part of a prospective AV development is communication over cars and infrastructure (connected vehicles). A major knowledge gap exists in AV technology with respect to routing behaviors. Connectedvehicle technology provides a great opportunity to implement an efficient and intelligent routing system. To this end, we propose a conceptual navigation model based on a fleet of AVs that are centrally dispatched over a network seeking system optimization. This study contributes to the literature on two fronts: (i) it attempts to shed light on future opportunities as well as possible hurdles associated with AV technology; and (ii) it conceptualizes a navigation model for the AV which leads to highly efficient traffic circulations.

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Section: Appendix 1: Sensors and Monitoring Technologiesmentioning

confidence: 99%

Autonomous vehicles: challenges, opportunities, and future implications for transportation policies

et al. 2016

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“…Additional simulated RSS levels from P1 to P6 are detailed in Table 3. According Gonzalvez et al in [7] the effectiveness of cooperative systems using RSUs for V2I communications is strongly dependent of how efficiently RSUs are being deployed. Based on the simulated results, different TX placement configurations could be suggested to achieve RSS levels above to −120 dBm; one of these configuration could be as follows: …”

Section: Simulation Urban Scenariomentioning

confidence: 99%

“…While V2I field test provides useful insight for specific in-situ scenarios [7], deterministic Ray Launching simulators are suited for vehicular propagation analysis of electrical-large scenarios, as urban scenarios, yielding a reasonable tradeoff between accuracy and computational cost. In this work, a hybrid deterministic method has been used to analyze the V2I propagation phenomena, specifically an in-house 3D RayLaunching (3D-RL) algorithm, based on Geometrical Optics (GO), Geometrical Theory of Diffraction (GTD) and Uniform Theory of Diffraction (UTD).…”

Section: Introductionmentioning

confidence: 99%

Deterministic Propagation Modeling for Intelligent Vehicle Communication in Smart Cities

Granda

Azpilicueta

Vargas-Rosales

et al. 2017

The 4th International Electronic Conference on Sensors and Applications

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Vehicular Ad Hoc Networks (VANETs) are envisaged to be a critical building block of Smart Cities and Intelligent Transportation System (ITS) where applications for pollution and congestion reduction, vehicle mobility improving, accidents prevention and safer roads are some of the VANETs expected benefits into the Intelligent Vehicle Communications. Although there is a significant research effort in Vehicle-to-Infrastructure (V2I) communication radio channel characterization, the use of more general methods than theoretical and empirical models is required to understand more accurately the propagation phenomena in urban environments. In this work, a deterministic computational tool based on an in-house 3D Ray-Launching algorithm and standard IEEE 802.11p, is used to represent and analyze some large-scale and small-scale urban radio propagation phenomena for V2I, including the vehicles movement effects on each of the multipath components. Results show the impact of factors as distance, frequency, location of antenna transmitters (TX), obstacles and vehicles speed, in the V2I channel propagation. These results are useful for radio-planning Wireless Sensor Networks (WSNs) designers and deployment of urban Road Side Units (RSUs).

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“…Corresponding author: Shusen Yang (shusenyang.gr.xjtu.edu.cn) 1) How to provision an ITS enabled communication framework for EV charging management, via techniques include the Road Side Unit (RSU), Global Position Systems (GPS), standardization of Vehicles to Infrastructures (V2I) communications (e.g., 802.11p [4])? 2) How does the provisioning of communication framework affect the actual driving experience, and how costefficient it is?…”

Section: Introductionmentioning

confidence: 99%

A Cost-Efficient Communication Framework for Battery-Switch-Based Electric Vehicle Charging

et al. 2017

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Abstract-Charging management for Electric Vehicles (EVs) on-the-move has become an increasingly important research problem in smart cities. Major technical challenges include the selection of Charging Stations (CSs) to guide charging plans, and the design of cost-efficient communication infrastructure between the power grid and EVs. In this article, we first present a brief review on state-of-the-art EV charging management schemes. Next, by incorporating battery switch technology to enable fast charging service, a Publish/Subscribe (P/S) communication framework is provisioned to support the EV charging service. Upon that, we develop a fully distributed charging management scheme with the consideration of urban travel uncertainties, e.g., traffic congestions and drivers' preferences. This would benefit from low privacy sensitivity, as EVs' status information will not be released through management. Results demonstrate a guidance for the provisioning of P/S communication framework to improve EV drivers' experience, e.g., charging waiting time and total trip duration. Also, the benefit of P/S communication framework is reflected in terms of the communication efficiency. Open research issues of this emerging area are also presented.

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IEEE 802.11p vehicle to infrastructure communications in urban environments

Cited by 242 publications

References 6 publications

Autonomous vehicles: challenges, opportunities, and future implications for transportation policies

Autonomous vehicles: challenges, opportunities, and future implications for transportation policies

Deterministic Propagation Modeling for Intelligent Vehicle Communication in Smart Cities

A Cost-Efficient Communication Framework for Battery-Switch-Based Electric Vehicle Charging

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