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Title: An adaptive transport management approach using imitation learning
Authors: Bugeja, Mark
Dingli, Alexiei
Attard, Maria
Seychell, Dylan
Keywords: Data sets
Neural networks (Computer science)
Issue Date: 2019
Publisher: ACM
Citation: Bugeja, M., Dingli, A., Attard, M., & Seychell, D. (2019). An adaptive transport management approach using imitation learning. 3rd ACM Computer Science in Cars Symposium (CSCS 2019), Kaiserslautern.
Abstract: The area of Intelligent Transport Systems has been critical in traffic management and intelligent systems for the past decades. In this paper, we introduce a novel approach to traffic management. We develop a process that that starts with the development of a "game" based upon different road networks that are used to gather data based upon user actions. The user’s decision directly affect how traffic light states change. This data is then passed to an Imitation Learning model that can observe actions and imitate the same decisions on a similar road network.
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