Modeling and control of mixed traffic flow
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Updated
Jul 17, 2024 - Jupyter Notebook
Modeling and control of mixed traffic flow
This repository contains software for multi-agent simulation model of mixed traffic flow of connected (HVs) and automated vehicles (AVs) in Python using pygame, matplotlib, numpy, scipy and seaborn libraries. The software is capable of simulating many different cases of traffic flow and creates data files and figures for the purpose of analysis.
Leading Cruise Control
Adaptive deep Koopman predictive control for mitigating traffic oscillations in mixed CAV/HDV traffic, with pretrained checkpoint and reproducible simulation code.
Reproducible SUMO experiments on CAV/HV mixed-traffic — multi-dimensional evaluation (flow / safety / emissions / efficiency) plus a statistical analysis layer (dual benefit phase diagrams, benefit boundaries, Pareto fronts).
路網微觀交通模擬 Microscopic Traffic Simulation of Road Networks
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