• Publications
  • Influence
Traffic Flow Prediction With Big Data: A Deep Learning Approach
TLDR
A novel deep-learning-based traffic flow prediction method is proposed, which considers the spatial and temporal correlations inherently and is applied for the first time that a deep architecture model is applied using autoencoders as building blocks to represent traffic flow features for prediction. Expand
Adaptive Dynamic Programming: An Introduction
TLDR
Some recent research trends within the field of adaptive/approximate dynamic programming (ADP), including the variations on the structure of ADP schemes, the development of ADPs algorithms and applications, and many recent papers have provided convergence analysis associated with the algorithms developed. Expand
Parallel Control and Management for Intelligent Transportation Systems: Concepts, Architectures, and Applications
  • F. Wang
  • Engineering, Computer Science
  • IEEE Transactions on Intelligent Transportation…
  • 1 September 2010
TLDR
The developments and applications described here clearly indicate that PtMS is effective for use in networked complex traffic systems and is closely related to emerging technologies in cloud computing, social computing, and cyberphysical-social systems. Expand
The Emergence of Intelligent Enterprises: From CPS to CPSS
  • F. Wang
  • Computer Science
  • IEEE Intelligent Systems
  • 1 July 2010
TLDR
Cyber-Physical-Social Systems is the new name for CPS, the enabling platform technology that will lead us to an era of intelligent enterprises and industries. Expand
Social Computing: From Social Informatics to Social Intelligence
TLDR
The move from social informatics to social intelligence is achieved by modeling and analyzing social behavior, by capturing human social dynamics, and by creating artificial social agents and generating and managing actionable social knowledge. Expand
A Security and Privacy Review of VANETs
TLDR
The general secure process and point out authentication methods involved in these processes involved in VANETs are presented and detailed survey of these authentication algorithms followed by discussions comes afterward. Expand
Capturing Car-Following Behaviors by Deep Learning
TLDR
A deep neural network-based car-following model that takes the velocities, velocity differences, and position differences that were observed in the last few time intervals as inputs and tries to embed prediction capability or memory effect of human drivers in a natural and efficient way. Expand
Towards blockchain-based intelligent transportation systems
  • Yong Yuan, F. Wang
  • Computer Science
  • IEEE 19th International Conference on Intelligent…
  • 1 November 2016
TLDR
It is considered that blockchain is one of the secured and trusted architectures for building the newly developed parallel transportation management systems (PtMS) , and thereby the relationship between B2ITS and PtMS is discussed. Expand
Cooperative Driving at Blind Crossings Using Intervehicle Communication
  • Li Li, F. Wang
  • Engineering, Computer Science
  • IEEE Transactions on Vehicular Technology
  • 1 November 2006
TLDR
A concept of safety driving patterns is proposed to represent the collision-free movements of vehicles at crossings to improve driving safety and efficiency using appropriate motion scheduling of all the encountered vehicles. Expand
A New Type of Covering Rough Set
  • W. Zhu, F. Wang
  • Computer Science
  • 3rd International IEEE Conference Intelligent…
  • 1 September 2006
TLDR
The inter dependency between the lower and the upper approximation operations, conditions under which two coverings generate a same upper approximation operation, and the axiomatic systems for these operations are explored. Expand
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