Safety in Traffic Management Systems: A Comprehensive Survey

Wenlu Du, Ankan Dash, Jing Li, Hua Wei, Guiling Wang

Research output: Contribution to journalReview articlepeer-review

Abstract

Traffic management systems play a vital role in ensuring safe and efficient transportation on roads. However, the use of advanced technologies in traffic management systems has introduced new safety challenges. Therefore, it is important to ensure the safety of these systems to prevent accidents and minimize their impact on road users. In this survey, we provide a comprehensive review of the literature on safety in traffic management systems. Specifically, we discuss the different safety issues that arise in traffic management systems, the current state of research on safety in these systems, and the techniques and methods proposed to ensure the safety of these systems. We also identify the limitations of the existing research and suggest future research directions.

Original languageEnglish (US)
Article number100
JournalDesigns
Volume7
Issue number4
DOIs
StatePublished - Aug 2023

All Science Journal Classification (ASJC) codes

  • Engineering (miscellaneous)
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Keywords

  • crash prediction
  • crash risk assessment
  • deep learning
  • machine learning
  • proactive safety methods
  • safety analysis
  • statistical analysis methods
  • survey
  • traffic safety

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