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

Those are my (handout mode) slides in teaching traffic flow theory, which I spent a lot of time and effort

a Repo for recording my process of learning RL

fuzzy logic car following model allegro