mlsanityData to 14 Oct 2026

Safety in Traffic Management Systems: A Comprehensive Survey

arXiv 2308.06204 ↗First posted 11 Aug 2023eess.SY cs.AI cs.LGcited by 3

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 6 of its 96 references that are in the map. First posted on arXiv 11 Aug 2023.

Builds on

6 of 96 references.

References · 6

  1. 2019Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Drivingcited by 59
  2. 2021A Dynamic Spatial-temporal Attention Network for Early Anticipation of Traffic Accidentscited by 42
  3. 2020RiskOracle: A Minute-level Citywide Traffic Accident Forecasting Frameworkcited by 33
  4. 2022SafeLight: A Reinforcement Learning Method toward Collision-free Traffic Signal Controlcited by 15
  5. 2019A Systematic Literature Review about the impact of Artificial Intelligence on Autonomous Vehicle Safetycited by 10
  6. 2021SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learningcited by 6

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 2; 2026: 1.

3 papers.

  1. 2025Task-Specific Dual-Model Framework for Comprehensive Traffic Safety Video Description and Analysiscited by 3
  2. 2025Domain-Adapted Pre-trained Language Models for Implicit Information Extraction in Crash Narrativescited by 1
  3. 2026OD-RASE: Ontology-Driven Risk Assessment and Safety Enhancement for Autonomous Drivingcited by 1