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Found 4 papers, 0 papers with code
Traffic Signal Control and Speed Offset Coordination Using Q-Learning for Arterial Road Networks
We evaluate the performance of the proposed arterial traffic control strategy using microscopic traffic simulations of an arterial corridor with seven intersections near the I-710 freeway.
Integrated Freeway Traffic Control Using Q-Learning with Adjacent Arterial Traffic Considerations
In this regard, we propose a freeway traffic control (FTC) strategy that coordinates VSL, LC, RM actions using a Q-learning (QL) framework which takes into account arterial traffic characteristics.
Selection of the Speed Command Distance for Improved Performance of a Rule-Based VSL and Lane Change Control
Then, we consider the distance of the upstream VSL zone as a control variable and perform a comprehensive analysis of its impact on the performance of the closed-loop traffic control system based on the multi-section CTM.
Integrated Traffic Simulation-Prediction System using Neural Networks with Application to the Los Angeles International Airport Road Network
In this paper, we design an integrated simulation-prediction system which estimates the Origin-Destination (OD) matrix of a road network using only flow rate information and predicts the behavior of the road network in different simulation scenarios.
