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August 1, 2025Advances in Engineering Technology Research

Machine Learning in Intelligent Transportation: A Systematic Review

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Authors

HZHanxu ZhangBeihang UniversityZJZhi‐Cheng JingVascular Medicine

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Implication

Systematic review analyzes machine learning's impact on traffic safety and resource optimization in transportation systems, indicating significant improvements.

Key Points

  • Machine learning shows promise in improving intelligent transportation system efficiency and management.
  • Advanced algorithms like Neural Network have led to breakthroughs in traffic congestion and safety applications.
  • Systematic review methodology encompasses various topics, including public transport and environmental aspects.
  • Findings suggest that machine learning can transform urban transportation management practices and infrastructure.

Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/689a0c6be6551bb0af8cfccbhttps://doi.org/10.56028/aetr.14.1.945.2025
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Also Consider

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  5. 5A Systematic Literature Review of Traffic Congestion Forecasting: From Machine Learning Techniques to Large Language Models2025 · 9 citations