Assessment of Pedestrian-to-Vehicle Communication Pre-Crash Safety Warnings to Avoid Collisions

Author:

Tahir Muhammad Naeem1ORCID,Katz Marcos2,Muhammad Irfan2

Affiliation:

1. University of Oulu, Finland & Finnish Meteorological Institute (FMI), Finland

2. University of Oulu, Finland

Abstract

In recent years, road safety is getting more attention to reduce road pedestrian accidents caused by vehicles. The research community is trying to find new techniques related to accident avoidance in the existing vehicle driver assistance systems. These techniques involve the exchange of safety critical information between pedestrians and vehicles. This is called vehicle-to-pedestrian (V2P) communication system, which provides road safety and management to different Vulnerable-Road-Users (VRUs). Furthermore, V2P communication systems use various technologies and different methods to cooperate with the VRUs. These attributes can be considered to design constraints for V2P communication system. In this paper, the authors examine V2P safety aspects and have simulated different V2P scenarios considering real environments. Moreover, the authors analyze the V2P safety in different scenarios by considering the timely exchange of safety messages. The authors presented these results in different V2P approaches for separate VRU groups in different pre-crash situations.

Publisher

IGI Global

Subject

General Medicine

Reference24 articles.

1. Vehicle to pedestrian communications for protection of vulnerable road users

2. Anderson, C. L. (2002). Walking and automobile traffic near schools: data to support an evaluation of school pedestrian safety programs. (2002).

3. A mobile-cloud pedestrian crossing guide for the blind.;B.Bhargava;International Conference on Advances in Computing & Communication,2011

4. Bonnefon, J. (2020).Ethics of Connected and Automated Vehicles: Recommendations on road safety, privacy, fairness, explainability and responsibility. Semantic Scholar.

5. Pedestrian models for autonomous driving part II: High-level models of human behavior.;F.Camara;IEEE Transactions on Intelligent Transportation Systems,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3