Collision Avoidance Proposal in a MEC based VANET environment

Nevigato, Nicolas; Tropea, Mauro; Rango, Floriano De

doi:10.1109/ds-rt50469.2020.9213521

Cited by 4 publications

(4 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A collision avoidance technique for automotive scenarios based on the edge computing paradigm has been presented in [138]. Specifically, a crash-anticipation-assisted steering system based on MEC is created.…”

Section: Collision Avoidancementioning

confidence: 99%

“…ting paradigm has been presented in [138]. Specifically, a crash-anticipation-assisted stee ing system based on MEC is created.…”

Section: Collision Avoidancementioning

confidence: 99%

“…Slot demand and du plication will result from the conventional fixed slot-partitioning approaches, which a Figure 10. Crash-anticipation-assisted system based on the MEC framework [138].…”

Section: Collision Avoidancementioning

confidence: 99%

See 2 more Smart Citations

A Comprehensive Survey Exploring the Multifaceted Interplay between Mobile Edge Computing and Vehicular Networks

Pashazadeh,

Nardini,

Stea

2023

Future Internet

View full text Add to dashboard Cite

In recent years, the need for computation-intensive applications in mobile networks requiring more storage, powerful processors, and real-time responses has risen substantially. Vehicular networks play an important role in this ecosystem, as they must support multiple services, such as traffic monitoring or sharing of data involving different aspects of the vehicular traffic. Moreover, new resource-hungry applications have been envisaged, such as autonomous driving or in-cruise entertainment, hence making the demand for computation and storage resources one of the most important challenges in vehicular networks. In this context, Mobile Edge Computing (MEC) has become the key technology to handle these problems by providing cloud-like capabilities at the edge of mobile networks to support delay-sensitive and computation-intensive tasks. In the meantime, researchers have envisaged use of onboard vehicle resources to extend the computing capabilities of MEC systems. This paper presents a comprehensive review of the most recent works related to MEC-assisted vehicular networks, as well as vehicle-assisted MEC systems. We illustrate the MEC system architecture and discuss its deployment in vehicular environments, as well as the key technologies to realize this integration. After that, we review the recent literature by identifying three different areas, i.e.: (i) MEC providing additional resources to vehicles (e.g., for task offloading); (ii) MEC enabling innovative vehicular applications (e.g., platooning), and (iii) vehicular networks providing additional resources to MEC systems. Finally, we discuss open challenges and future research directions, addressing the possible interplays between MEC systems and vehicular networks.

show abstract

Section: Collision Avoidancementioning

confidence: 99%

“…ting paradigm has been presented in [138]. Specifically, a crash-anticipation-assisted stee ing system based on MEC is created.…”

Section: Collision Avoidancementioning

confidence: 99%

See 1 more Smart Citation

A Comprehensive Survey Exploring the Multifaceted Interplay between Mobile Edge Computing and Vehicular Networks

Pashazadeh,

Nardini,

Stea

2023

Future Internet

View full text Add to dashboard Cite

show abstract

“…-Benchmark Algorithm: the simplest way to approach things is to go through four steps: (i) Predict future positions of the entities function of their current position, velocity [67], acceleration [50] or deceleration information [68]. (ii) Compute the distance between the vehicle and the VRU.…”

Section: Collision Detectionmentioning

confidence: 99%

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

2022

View full text Add to dashboard Cite

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.

show abstract

Software Defined Radio-Based Long-Term Evolution for Infrastructure-Based Vulnerable Road Users Safety: A Field Demonstration

Khaleghian,

Harris,

Fadul

et al. 2024

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

The limited connectivity of vehicles presents a notable challenge, as their inability to establish communication with other vehicles and pedestrians can lead to safety concerns, particularly for vulnerable road users (VRUs). The Infrastructure-to-Pedestrian (I2P) communication pathway can play a vital role in mitigating these safety concerns, as implementing I2P is expected to significantly enhance safety for pedestrians, cyclists, and motorcyclists. The Third Generation Partnership Program (3GPP) introduced cellular vehicle-to-everything (V2X) communication with the release for 3GPP Release 14 in 2017. In this paper, we conduct an extensive review of V2I and I2P communication, and then present a Long-Term Evolution (LTE)-I2P communication architecture. We later describe key ideas of software-defined networks and their concepts for I2P services. Additionally, we conduct a field test of I2P LTE-based communication and assess its feasibility. The urban connected testbed in downtown Chattanooga, “MLK Smart Corridor,” services is the experimental platform for this assessment. Performance indicators like average end-to-end (E2E) latency and packet delivery ratio (PDR) are used for comparison.

show abstract

Collision Avoidance Proposal in a MEC based VANET environment

Cited by 4 publications

References 20 publications

A Comprehensive Survey Exploring the Multifaceted Interplay between Mobile Edge Computing and Vehicular Networks

A Comprehensive Survey Exploring the Multifaceted Interplay between Mobile Edge Computing and Vehicular Networks

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

Software Defined Radio-Based Long-Term Evolution for Infrastructure-Based Vulnerable Road Users Safety: A Field Demonstration

Contact Info

Product

Resources

About