H. Jiang et al./Transportation Research Part C 79 (2017) 290–307 291 ‘‘Control” non-CAVs: One important idea of the proposed controller is to optimize the entire traffic flow (both CAVs and In this paper, we develop machine-learning approaches to predict impending failures and alarms of critical rail car com-ponents. EndNote Styles - Transportation Research C - Emerging Technologies. All Clarivate Analytics websites use cookies to improve your online experience. Research Paper Research papers report on recent research findings within the scope of Transportation Research - Part C. Assessment criteria for research papers include the manuscript readability, the pertinence and clarity of the scientific arguments, the level of innovation and the potential usefulness of the reported research. The prediction will drive proactive inspections and repairs, reducing operational equipment failure. The focus of Transportation Research: Part C is high-quality, scholarly research that addresses development, applications, and implications, in the field of transportation, of emerging technologies from such fields as operations research, computer science, electronics, control systems, artificial intelligence, and telecommunications, among others. Read the latest articles of Transportation Research Part C: Emerging Technologies at ScienceDirect.com, Elsevier’s leading platform of peer-reviewed scholarly literature 18 H. Li et al./Transportation Research Part C 45 (2014) 17–26. Find out more about the editorial board for Transportation Research Part C: Emerging Technologies.
The focus of Transportation Research: Part C is high-quality, scholarly research that …