Comprehensive review of data exchange in vehicle-to-pedestrian communications: State of the art

Zahraa Hashim Kareem, Khairun Nidzam bin Ramli, Alyaa Mohammed Jawad, Rami Qays Malik, Hussein A. Ameen, Musaddak M. Abdul Zahra

Abstract


Pedestrian safety is a serious problem in transportation systems because pedestrian and vehicle crashes often result in fatalities amongst vulnerable road users. A vehicle-to-pedestrian (V2P) communication system allows data exchange between pedestrians and vehicles to prevent or minimise potential dangers of accidents from happening. This work aimed to analyse and review the previous work associated with information exchange in the V2P communication system and classify the existing technology utilized for this purpose. Motivation, accessible problems confronting researchers, and suggestions posed to researchers to develop this critical area of study have been among the reasons considered to enhance awareness of the field's numerous qualitative facets in reported investigations and properties. All of the papers have been divided into four categories: growth, analysis, and survey, FRAMEWORK, and data exchange in the V2P communication system. V2P communication is an area that necessitates automated solutions, instruments, and techniques that allow pedestrian detection and prediction. Pedestrian identification and data sharing on V2P have been the subject of several experiments in order to support pedestrian protection techniques. The reasons, open barriers that hinder the technology's usefulness, and authors' suggestions have been used to identify the essential characteristics of this evolving sector. This study is intended to provide researchers with new resources and enable them to focus on the holes that have been found.

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DOI: http://dx.doi.org/10.21533/pen.v9i2.1926

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Copyright (c) Zahraa Hashim Kareem, Khairun Nidzam bin Ramli, Alyaa Mohammed Jawad, Rami Qays Malik, Hussein A. Ameen, Musaddak M. Abdul Zahra

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

ISSN: 2303-4521

Digital Object Identifier DOI: 10.21533/pen

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License