Statistical Model Checking

Decentralized Multi Agent Deep Reinforcement Q-learning for Intelligent Traffic Controller

Recent development of deep reinforcement learning models has impacted many fields, especially decision based control systems. Urban traffic signal control minimizes traffic congestion as well as overall traffic delay. In this work, we use a …

Traffic Intersections as Agents: A model checking approach for analysing communicating agents

The analysis of traffic policies, for instance, the duration of green and red phases at intersections, can be quite challenging. While the introduction of communication systems can potentially lead to better solutions, it is important to analyse and …

Statistical Model Checking for Traffic Models

Statistical Model Checking (SMC) is a popular technique in formal methods for analyzing large stochastic systems. As opposed to the expensive but exact model checking algorithms, this technique allows for a trade-off between accuracy and running …