Data Fusion in Sporadic Connected Environments for Urban Traffic Control
Betreuer:
Busch, Fritz, Prof. Dr.
Gutachter:
Busch, Fritz, Prof. Dr.; Head, Larry, Prof., Ph.D.; Antoniou, Constantinos, Prof. Dr.
Tag der Abgabe der Arbeit:
19.11.2020
Tag der mündlichen Prüfung:
06.05.2021
Verlagsort:
München
Verlegende Institution:
Technische Universität München
Jahr:
2021
Seiten (Monografie):
147
Sprache:
Englisch
Stichwörter:
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.