Literature DB >> 34119818

Safety improvements by intelligent connected vehicle technologies: A meta-analysis considering market penetration rates.

Guiming Xiao1, Jaeyoung Lee2, Qianshan Jiang1, Helai Huang1, Mohamed Abdel-Aty3, Ling Wang4.   

Abstract

As the era of intelligent connected vehicles (ICVs) is approaching, a number of studies have investigated the potential benefits of ICVs, including the safety effects. Although previous studies agree that ICVs would significantly improve traffic safety, its quantified safety effects at different stages are still being debated. This study aims to estimate the ICVs' safety effects by market penetration rate (MPR) adopting a meta-analysis approach. The results from the meta-analysis indicate that the number of conflicts is exponentially reduced as the MPR goes up. For example, compared to the environment without ICVs, 4.2% and 17.4% of conflicts would decrease at the MPR of 10% and 50%, respectively. The effects are more obvious at higher MPR-43.4% of conflicts are expected to decrease at the MPR of 90%. From the case study in the United States based on the meta-analysis, it is expected that the MPR would reach 17-20% in the near future (2025) and 40-48% in 2035. The anticipated reduction in the number of fatal crashes would be 5% and 13%, in 2025 and 2035, respectively. The findings from this study will be useful for both public and private sectors to establish strategic plans to promote ICVs and identify their benefits at different MPRs.
Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Keywords:  Automated vehicles; Connected vehicles; Intelligent connected vehicles; Market penetration rate; Meta-analysis; Traffic safety

Year:  2021        PMID: 34119818     DOI: 10.1016/j.aap.2021.106234

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  1 in total

1.  A Take-Over Performance Evaluation Model for Automated Vehicles from Automated to Manual Driving.

Authors:  Lixin Yan; Jiayu Chen; Chengyue Wen; Ping Wan; Liqun Peng; Xujin Yu
Journal:  Comput Intell Neurosci       Date:  2022-04-15
  1 in total

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