A Study on Dynamic Collection of Cooperative Awareness Messages in V2X Safety Applications

Zoghlami, Chaima; Kacimi, Rahim; Dhaou, Riadh

doi:10.1109/ccnc49033.2022.9700720

Cited by 6 publications

(5 citation statements)

References 4 publications

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“…Other approaches [69,70,71], compute the collision probability (P collision ) while considering the impact of sensors inaccuracy (e.g. position, speed, direction measurement errors) on the accuracy of the collision detection.…”

Section: Collision Detectionmentioning

confidence: 99%

“…If a BSM transmission is needed, the transmission range should be controlled according to the surrounding environment (e.g., risk level, number of nearby vehicles). Authors of [70] adapted the rate of communication messages according to the risk probability to relieve the network load and optimize the energy consumption for the VRU side.…”

Section: Energy Consumptionmentioning

confidence: 99%

“…The collision avoidance algorithm reliability was significantly improved by their approach. Kalman filter has been used in [70] to estimate vehicles trajectory to predict future collision and in [81] for pedestrians' motion prediction. In [54], the bikes send periodically CAM messages that will be exploited to estimate high localization accuracy.…”

Section: Localization Accuracymentioning

confidence: 99%

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5G-enabled V2X communications for vulnerable road users safety applications: a review

2022

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Intelligent Transportation System (ITS) is continuously evolving alongside communication technologies and autonomous driving, giving way to new applications and services. Considering the significant rise in traffic casualties, protecting vulnerable road users (VRU), such as pedestrians, cyclists, motorcycles, animals, etc., has become ever more critical. That said, technological advances alone can not meet the requirements of such crucial applications. Therefore, combining them with architectural revolutions, particularly cloud, fog, and edge computing, is essential. In this review, we scrutinize the VRU safety application with regard to technological evolution. This review establishes the foundations for designing resilient, more reliable, end-to-end VRU protection services. It illustrates the possibility of combining the performance of different technologies through exploiting 5G architectural advantages (function placement, direct/indirect communication, etc.) for the intended application. In the context of 5G architecture, collision avoidance systems consider network and application-related challenges and solutions. This survey provides standardization, studies, and project efforts related to the use case and considers the different types of messages in the V2VRU communication-based safety application. We investigate how adapting the application parameters to the network state and devices' available resources can use network resources efficiently and provide reliable services.

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Section: Collision Detectionmentioning

confidence: 99%

Section: Energy Consumptionmentioning

confidence: 99%

Section: Localization Accuracymentioning

confidence: 99%

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5G-enabled V2X communications for vulnerable road users safety applications: a review

2022

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“…VANETs are expected to enable a wide scope of applications for entertainment and driving safety. To facilitate safety applications, each vehicle is equipped with multiple types of sensors that generate safetycritical and time-varying data (e.g position, speed, heading, and acceleration), termed as cooperative awareness messages (CAMs), and broadcast the messages to all neighboring nodes within their communication range [5]. The performance of VANET fundamentally depends on the medium access control (MAC) protocol, where a distributed carrier sensing multiple access (CSMA) based protocol, defined in the IEEE 802.11p standard, is the popular MAC protocol for VANETs.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Messaging based on the Age of Information in VANETs

Parella

Ajayi

Cheng

2022

GLOBECOM 2022 - 2022 IEEE Global Communications Conference

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A significant challenge in 802.11p based vehicular ad hoc networks (VANETs) is that the cooperative awareness messages (CAMs) tend to experience collisions. In this paper, we propose an adaptive CAM messaging algorithm based on the emerging methodology of the age of information (AoI). Our objective is to minimize an age-penalty function in a trajectory prediction application. In our design, each vehicle will compute a local penalty which serves as an indicator on whether the CAM messaging frequency is appropriate for its mobility status; and at the same time, calculates an appropriate penalty associated with all its neighbors which serves as an indicator regarding the impact of network congestion on the trajectory prediction quality. The aggregated penalty score integrating both the local and neighboring parts will be used to adaptively control the CAM sending frequency. We are to present simulation results demonstrating that our adaptive messaging method can indeed mitigate network congestion while meet the driving safety requirements.

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“…INET: The INET framework[51] is practically an open-source simulation model library built on top of the OMNeT++ environment. It implements protocols, agents, and other models for researchers and students working with communication networks.…”

mentioning

confidence: 99%

Real-Life Traffic Data Based ITS-G5 Channel Load Simulations of a Major Hungarian C-ITS Deployment Site

Wippelhauser,

Tomaschek,

Verdes

et al. 2023

Applied Sciences

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Transportation efficiency and safety are crucial development areas nowadays. Cooperative Intelligent Transport Systems (C-ITSs), relying on Vehicle-to-Everything (V2X) communication, are a promising group of technologies and applications aimed at solving several issues related to road safety or efficiency. The C-Roads Platform was brought to life to ensure the cross-border harmonization of C-ITS at a European level, guiding several pilot activities in national deployment projects and providing a harmonized pan-European C-ITS service perspective. Because of the safety relevance of V2X technologies, it is essential to ensure that the crucial parameters of wireless communication are within an acceptable range to serve C-ITS applications appropriately. In this work, we developed a simulation pipeline to evaluate future V2X deployments using the real-world traffic and map data of a C-Roads harmonized major Hungarian C-ITS deployment site. First, we selected three time periods representing different traffic patterns. Then, we reconstructed the flow-based traffic data from the real-world traffic counters for the selected time periods. We developed an approach based on linear equations to perform the conversion. Eventually, we used the real-world data to simulate the effects of various DSRC (ITS-G5-based) C-ITS services and V2X penetration rates on the Channel Busy Ratio (CBR) parameter of the radio access environment.

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A Study on Dynamic Collection of Cooperative Awareness Messages in V2X Safety Applications

Cited by 6 publications

References 4 publications

5G-enabled V2X communications for vulnerable road users safety applications: a review

5G-enabled V2X communications for vulnerable road users safety applications: a review

Adaptive Messaging based on the Age of Information in VANETs

Real-Life Traffic Data Based ITS-G5 Channel Load Simulations of a Major Hungarian C-ITS Deployment Site

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