A Simulation Framework for Testing a Conceptual Hierarchical Autonomous Traffic Management System including an Intelligent External Traffic Simulation
Authors:
Sven Henning, Patrick Biemelt, Nico Rüddenklau, Sandra Gausemeier, Ansgar Trächtler
Keywords:
autonomous driving, connected driving, traffic management, traffic simulation, simulation of urban mobility
Abstract:
This contribution introduces a new approach for a hierarchical autonomous traffic management system which controls the traffic using different modeling abstractions at multiple layers. On the lowest layer of this traffic management system, the vehicles are controlled microscopically by assigning collision free trajectories while receiving reference values from controlling instances of higher layers. The higher layers, in contrast, take macroscopic traffic values like e.g. the traffic density of a road network into account to control the traffic flows in a way the risk for congestion reduces drastically. Assuming almost only autonomous driving vehicles within the given scenario, currently there does not exist any testing possibility for such a complex system. For this reason, this contribution will present a simulation framework based on the external traffic simulation SUMO. The simulation framework will be used to implement and test the pre-mentioned approach while being able to consider mixed traffic (autonomous/non-autonomous). The collision-free intersection trajectory planning for vehicles at the lowest layer of the traffic management system will be presented as exemplary control instance within the simulation framework.
Cite this article
Henning S.; Biemelt P.; Rüddenklau N.; Gausemeier S. and Trächtler A. A Simulation Framework for Testing a Conceptual Hierarchical Autonomous Traffic Management System including an Intelligent External Traffic Simulation In: Proceedings of the Driving Simulation Conference 2018 Europe VR, Driving Simulation Association, Antibes, France, 2018, pp. 91-98
@inproceedings{Henning2018,
title = {A Simulation Framework for Testing a Conceptual Hierarchical Autonomous Traffic Management System including an Intelligent External Traffic Simulation},
author = {Sven Henning and Patrick Biemelt and Nico Rüddenklau and Sandra Gausemeier and Ansgar Trächtler},
editor = {Andras Kemeny and Florent Colombet and Frédéric Merienne and Stéphane Espié},
isbn = {978-2-85782-734-4},
year = {2018},
date = {2018-09-05},
booktitle = {Proceedings of the Driving Simulation Conference 2018 Europe VR},
pages = {91-98},
address = {Antibes, France},
organization = {Driving Simulation Association},
abstract = {This contribution introduces a new approach for a hierarchical autonomous traffic management system which controls the traffic using different modeling abstractions at multiple layers. On the lowest layer of this traffic management system, the vehicles are controlled microscopically by assigning collision free trajectories while receiving reference values from controlling instances of higher layers. The higher layers, in contrast, take macroscopic traffic values like e.g. the traffic density of a road network into account to control the traffic flows in a way the risk for congestion reduces drastically. Assuming almost only autonomous driving vehicles within the given scenario, currently there does not exist any testing possibility for such a complex system. For this reason, this contribution will present a simulation framework based on the external traffic simulation SUMO. The simulation framework will be used to implement and test the pre-mentioned approach while being able to consider mixed traffic (autonomous/non-autonomous). The collision-free intersection trajectory planning for vehicles at the lowest layer of the traffic management system will be presented as exemplary control instance within the simulation framework.},
keywords = {autonomous driving, connected driving, simulation of urban mobility, traffic management, traffic simulation},
}
TY - CONF TI - A Simulation Framework for Testing a Conceptual Hierarchical Autonomous Traffic Management System including an Intelligent External Traffic Simulation AU - Henning, Sven AU - Biemelt, Patrick AU - Rüddenklau, Nico AU - Gausemeier, Sandra AU - Trächtler, Ansgar C1 - Antibes, France C3 - Proceedings of the Driving Simulation Conference 2018 Europe VR DA - 2018/09/05 PY - 2018 SP - 91 EP - 98 LA - en-US PB - Driving Simulation Association SN - 978-2-85782-734-4 L2 - https://proceedings.driving-simulation.org/proceeding/dsc-2018/a-simulation-framework-for-testing-a-conceptual-hierarchical-autonomous-traffic-management-system-including-an-intelligent-external-traffic-simulation ER -
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