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Main Title: Implementing an adaptive traffic signal control algorithm in an agent-based transport simulation
Author(s): Kühnel, Nico
Thunig, Theresa
Nagel, Kai
Type: Article
Language Code: en
Abstract: This paper describes the implementation of the fully traffic adaptive signal control algorithm by Lämmer in the agent-based transport simulation MATSim. The implementation is tested at an illustrative, single intersection scenario and compared to the results of Lammers MATLAB simulation. Plausibility of the self-controlled signals and overall results can be confirmed. Small deviations can be explained by differences in flow simulation and resolution of simulation time steps. In the simulation of the illustrative intersection, the adaptive control is proved to be stable and, overall, superior to a fixed-time control. Constant vehicle arrivals are simulated to show the performance of the control and its underlying sub-strategies. The expected behavior of the algorithm and its implementation are validated by analyzing queue lengths over time. The adaptive control significantly outperforms the fixed-time control for stochastic demand, where its ability to dynamically react to changes in flow becomes important.
Issue Date: 2018
Date Available: 26-Nov-2018
DDC Class: 380 Handel, Kommunikation, Verkehr
004 Datenverarbeitung; Informatik
Subject(s): adaptive traffic signal control
self-controlled traffic signals
agent-based transport simulation
Journal Title: Procedia Computer Science
Publisher: Elsevier
Publisher Place: Amsterdam [u.a.]
Volume: 130
Publisher DOI: 10.1016/j.procs.2018.04.086
Page Start: 894
Page End: 899
ISSN: 1877-0509
Appears in Collections:FG Verkehrssystemplanung und Verkehrstelematik » Publications

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