V2V-EN – Vehicle-2-Vehicle Elastic Network

Balzano, Walter; Murano, Aniello; Vitale, Fabio

doi:10.1016/j.procs.2016.09.084

Cited by 30 publications

(8 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The vehicle's platoon should be able to follow the leader by continuously maintain and anticipate dynamic situations along the road-the illustration of the vehicles' detachment shown in Figure 6. The message exchangeability among the vehicles intends to minimize potential accidents and enhance the safe driving within the car with driving assistance features for both autonomous vehicles and non-autonomous vehicles [45]. Furthermore, V2V communication will strengthen the safety support in five-level autonomy in autonomous vehicles where the combination between AI, Vehicle technology, IoT, and communication ability will accelerate the massive use of autonomous vehicles in the future [8][6].…”

Section: A V2v Communication Applicationsmentioning

confidence: 99%

A Study of V2V Communication on VANET: Characteristic, Challenges and Research Trends

Bintoro¹

2021

JISA

View full text Add to dashboard Cite

Vehicle to Vehicle (V2V) communication is a specific type of communication on Vehicular Ad Hoc Network (VANET) that attracts the great interest of researchers, industries, and government attention in due to its essential application to improve safety driving purposes for the next generation of vehicles. Our paper is a systematic study of V2V communication in VANET that cover the particular research issue, and trends from the recent works of literature. We begin the article with a brief V2V communication concept and the V2V application to safety purposes and non-safety purposes; then, we analyze several problems of V2V communication for VANET related to safety issues and non-safety issues. Next, we provide the trends of the V2V communication application for VANET. Finally, provide SWOT analysis as a discussion to identify opportunities and challenges of V2V communication for VANET in the future. The paper does not include a technical explanation. Still, the article describes the general perspective of VANET to the reader, especially for the beginner reader, who intends to learn about the topic.

show abstract

Section: A V2v Communication Applicationsmentioning

confidence: 99%

A Study of V2V Communication on VANET: Characteristic, Challenges and Research Trends

Bintoro¹

2021

JISA

View full text Add to dashboard Cite

show abstract

“…Moreover, [137] presented hybrid modules and architecture related to V2V communication system and hybrid electric vehicles in urban road conditions. A hybrid architecture for collaborative exchanges is proposed in [138], and a module for the new V2V elastic network is presented in [139].…”

Section: ) Framework and Architecturementioning

confidence: 99%

“…Other benefits related to V2V interoperability provide all information required of connected vehicles through vehicular networks. Furthermore, various studies have discussed improving the coverage of the vehicle information sharing network [83]; providing vehicles with a local proximity map of their vicinity [39], service to stuck vehicles in tunnels [70], and localisation system availability and precision improvement by eliminating the restriction of all vehicles having GPS; and using data fusion techniques to estimate vehicle location [7], [77], [107], [108], [139].…”

Section: ) Benefits Related To V2v Interoperabilitymentioning

confidence: 99%

A Deep Review and Analysis of Data Exchange in Vehicle-to-Vehicle Communications Systems: Coherent Taxonomy, Challenges, Motivations, Recommendations, Substantial Analysis and Future Directions

et al. 2019

View full text Add to dashboard Cite

Data exchange in Vehicle-to-vehicle (V2V) communications systems is a field that requires automated solutions, tools and methods and the capability to facilitate early detection and even a prediction. Many studies have focused on V2V system and its classification to improve road safety, reduce traffic congestion and help streamline the vehicle flow on the road. This study aims to review and analyse literature related to data exchange in V2V communications systems. The factors considered to improve the understanding of the field's various contextual aspects were derived from published studies. We systematically searched all articles about the classification and detection of data exchange in vehicles, as well as their evaluation. Three main databases, namely, ScienceDirect, Web of Science and IEEE Xplore from 2008 to 2018, were used. These indices were considered sufficiently extensive to encompass our literature. On the basis of our inclusion and exclusion criteria, 140 articles were selected. Most articles (53/140) are studies conducted in a V2V communication system; a number of papers (51/140) covered the actual attempts to develop V2V communications; and few papers (18/140) comprised framework proposals and architectures. The last portion (18/140) of articles presented review and survey articles. V2V collision avoidance system, which is a field requiring automated solutions, tools and methods, entails the capability to facilitate early detection. Several studies have been performed on the automatic detection of V2V and their subtypes to promote accurate detection. The basic characteristics of this emerging field are identified from the aspects of motivations, open challenges that impede the technology's utility, authors' recommendations and substantial analysis of the previous studies are discussed based on seven aspect (devices, number of scenario, test location, types of sensors, number of vehicle, evaluation techniques used and types of software). A propose research methodology as new direction is provided to solve the gaps identified in the analysis. This methodology consists of four phases; investigation, develop a hardware system, study and analysis, and evaluation phases. However, research areas on V2V communication with the scope of data exchange are varied. This systematic review is expected to open opportunities for researchers and encourage them to work on the identified gaps.

show abstract

“…Positioning systems and related services, in particular based on V2V and/or various localization systems are having a lot of attention from literature in the latest years [16]. With regards to positioning systems, many proposals were presented in the latest years, either based on satellites (like GPS or GLONASS), wireless networks (Wireless Positioning Systems or WPS) [8,9,10] or Inertial Navigation Systems (INS, based on sensors like accelerometers and gyroscopes) [7].…”

Section: Related Workmentioning

confidence: 99%

RADS: a smart Road Anomalies Detection System using Vehicle-2-Vehicle network and cluster features (S)

Balzano¹,

Vitale²

2018

International Conferences on Distributed Multimedia Systems

Self Cite

View full text Add to dashboard Cite

Vehicle-2-Vehicle is an emerging and interesting field of research area due to the several possible application in IoT and self-driving vehicles. It allows communication between vehicles, allowing them to share information about traffic and road conditions. Road accidents are nowadays one of the major causes of casualties worldwide, and therefore increasing road safety is very important. In this paper we present RADS: a smart Road Anomalies Detection System using Vehicle-2-Vehicle network and cluster features, a methodology which uses V2V and car distances in order to warn users of incoming dangers on the road, such as road blocks or existing accidents.

show abstract

V2V-EN – Vehicle-2-Vehicle Elastic Network

Cited by 30 publications

References 10 publications

A Study of V2V Communication on VANET: Characteristic, Challenges and Research Trends

A Study of V2V Communication on VANET: Characteristic, Challenges and Research Trends

A Deep Review and Analysis of Data Exchange in Vehicle-to-Vehicle Communications Systems: Coherent Taxonomy, Challenges, Motivations, Recommendations, Substantial Analysis and Future Directions

RADS: a smart Road Anomalies Detection System using Vehicle-2-Vehicle network and cluster features (S)

Contact Info

Product

Resources

About