Journal
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
Volume 99, Issue -, Pages 144-163Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trc.2018.12.004
Keywords
Deep learning; Transportation systems; Survey
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Funding
- National Natural Science Foundation of China [61602087]
- Fundamental Research Funds for the Central Universities [ZYGX2016J080]
- A*STAR Industry Alignment Fund-Pre-Positioning Programme [A1895a0033]
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Machine learning (ML) plays the core function to intellectualize the transportation systems. Recent years have witnessed the advent and prevalence of deep learning which has provoked a storm in ITS (Intelligent Transportation Systems). Consequently, traditional ML models in many applications have been replaced by the new learning techniques and the landscape of ITS is being reshaped. Under such perspective, we provide a comprehensive survey that focuses on the utilization of deep learning models to enhance the intelligence level of transportation systems. By organizing multiple dozens of relevant works that were originally scattered here and there, this survey attempts to provide a clear picture of how various deep learning models have been applied in multiple transportation applications.
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