Modern intelligent transportation systems (ITS) make driving more efficient, easier, and safer. Knowledge of real-time traffic conditions is a critical input for operating ITS. Real-time freeway traffic state estimation approaches have been used to quantify traffic conditions given limited amount of data collected by traffic sensors. Currently, almost all real-time estimation methods have been developed for estimating laterally aggregated traffic conditions in a roadway segment using link-based models which assume homogeneous conditions across multiple lanes.
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- Partial requirement for: Ph.D., Arizona State University, 2015Note typethesis
- Includes bibliographical references (pages 163-170)Note typebibliography
- Field of study: Industrial engineering