A Deep Reinforcement Learning Traffic Control Model for Pedestrian and Vehicle Evacuation in the Parking Lot

Z Zhang, Y Fei, D Fu - Physica A: Statistical Mechanics and its Applications, 2024 - Elsevier
As a necessary component of connecting the building interior and urban road network for
evacuation, the evacuation of parking lots significantly impacts overall evacuation efficiency …

[HTML][HTML] Intelligent traffic signal controller for heterogeneous traffic using reinforcement learning

RM Savithramma, R Sumathi - Green Energy and Intelligent Transportation, 2023 - Elsevier
A traffic signal controller is an essential part of a signalized intersection to alleviate
congestion and pollution by ensuring safety. However, the available research solutions are …

CVDMARL: A Communication-Enhanced Value Decomposition Multi-Agent Reinforcement Learning Traffic Signal Control Method

A Chang, Y Ji, C Wang, Y Bie - Sustainability, 2024 - mdpi.com
Effective traffic signal control (TSC) plays an important role in reducing vehicle emissions
and improving the sustainability of the transportation system. Recently, the feasibility of …

Exploring the impact of traffic signal control and connected and automated vehicles on intersections safety: A deep reinforcement learning approach

AH Karbasi, H Yang, S Razavi - arXiv preprint arXiv:2405.19236, 2024 - arxiv.org
In transportation networks, intersections pose significant risks of collisions due to conflicting
movements of vehicles approaching from different directions. To address this issue, various …

Simulation in the GPenSIM Environment of the Movement of Vehicles in the City Based on Their License Plate Numbers

T Kossowski, S Samolej, R Davidrajuh - Electronics, 2024 - mdpi.com
This paper uses colored Petri nets (PN) to develop a model of vehicle movement in a city.
The modeler defines the number and location of crossroads, the connections between them …

A two‐stage robust optimal traffic signal control with reversible lane for isolated intersections

Z Sun, Z Wang, X Qi, D Wang, Y Li… - IET Intelligent Transport …, 2024 - Wiley Online Library
The integrated design of traffic signal control (TSC) and reversible lane (RL) is an effective
way to solve the problem of tidal congestion with uncertainty at isolated intersections …

Enhancing the Robustness of Traffic Signal Control with StageLight: A Multiscale Learning Approach

G Su, JJ Yang - Eng, 2024 - mdpi.com
The continuous evolution of artificial intelligence and cyber–physical systems has presented
promising opportunities for optimizing traffic signal control in densely populated urban …

Intelligent Traffic Control with Connected and Automated Vehicles

Y Shi - 2023 - trace.tennessee.edu
The recent advancements in communication technology, transportation infrastructure,
computational techniques, and artificial intelligence are driving a revolution in future …

CMARL: A Multi-agent Deep Reinforcement Learning Model with Emphasis on Communication Content

A Chang, Y Ji, C Wang, Y Bie - 2024 - preprints.org
In recent years, the viability of employing multi-agent reinforcement learning technology for
adaptive traffic signal control has been extensively validated. However, owing to restricted …

A Deep Reinforcement Learning Traffic Control Model for Pedestrian and Vehicle Evacuation in the Parking Lot

Y Fei, D Fu - papers.ssrn.com
As a necessary component of connecting the building interior and urban road network for
evacuation, the evacuation of parking lots significantly impacts overall evacuation efficiency …