Data Fusion in Sporadic Connected Environments for Urban Traffic Control
Advisor:
Busch, Fritz, Prof. Dr.
Referee:
Busch, Fritz, Prof. Dr.; Head, Larry, Prof., Ph.D.; Antoniou, Constantinos, Prof. Dr.
Submission date:
19.11.2020
Date oral examination:
06.05.2021
Place of publication:
München
Publishing institution:
Technische Universität München
Year:
2021
Pages (Book):
147
Language:
Englisch
Keywords:
Connected vehicles ; queue length estimation ; traffic data fusion ; extended Kalman filter ; signal control
Abstract:
Urban Traffic Control Systems are an essential part of Dynamic Traffic Management, and vital to the success of future Smart City concepts. In this thesis, a methodology that enables traffic data fusion of diverse measurements is presented. Overall, this dissertation sheds light on the potential benefits from enhancing limited measurements from connected vehicles, to contribute immediately to current Urban Traffic Control Systems.