Source code for paper "Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving"
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Updated
Mar 24, 2023 - Jupyter Notebook
Source code for paper "Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving"
This is the description of the comparisive car-following dataset for studying driving behaviours when following AVs vs. HVs.
Code to accompany "Calibrating Car-Following Models using SUMO-in-the-loop and Vehicle Trajectories from Roadside Radar"
In this (ring-road multi-lane) traffic simulation, one can take the wheel of a car for changing lanes, acceleration and deceleration in real time, also creating congestion. One can observe the traffic dynamics and stop-and-go waves through plotting the time-space diagram of trajectories
Utilization of GPU for Parallel Simulation Computations (Master's Thesis)
Radar Data Analyzer for SHRP2 NDS and other data sources
a Repo for recording my process of learning RL
Those are my (handout mode) slides in teaching traffic flow theory, which I spent a lot of time and effort
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