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arXiv · 2007.04916

Explainability of Intelligent Transportation Systems using Knowledge Compilation: a Traffic Light Controller Case

Salomón Wollenstein-Betech·Christian Muise·Christos G. Cassandras·Ioannis Ch. Paschalidis·Yasaman Khazaeni
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Abstract

Usage of automated controllers which make decisions on an environment are widespread and are often based on black-box models. We use Knowledge Compilation theory to bring explainability to the controller's decision given the state of the system. For this, we use simulated historical state-action data as input and build a compact and structured representation which relates states with actions. We implement this method in a Traffic Light Control scenario where the controller selects the light cycle by observing the presence (or absence) of vehicles in different regions of the incoming roads.

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Salomón Wollenstein-Betech, Christian Muise, Christos G. Cassandras, Ioannis Ch. Paschalidis, Yasaman Khazaeni. 2020-07-09. Explainability of Intelligent Transportation Systems using Knowledge Compilation: a Traffic Light Controller Case. https://arxiv.org/abs/2007.04916

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