xutete Goto Github PK

congestion_propagation_inference

connected-autonomous-vehicles-simulation

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

covid19_inference_forecast

covid_bayesian_mcmc

Bayesian Markov Chain Monte Carlo Forecast for COVID-19

cs61b

Assignments/labs/projects for cs61b done by me

cs61b-1

Berkeley CS 61B Data Structures

ctm_matlab

Implementation of Cell-Transmission Model in plateform of MATLAB

cvis-drl

Cooperative Control of Traffic Signals and Connected Vehicles: A Multi-agent Deep Reinforcement Learning Approach

cvxpylayers

Differentiable convex optimization layers

data-driven-car-following

Development of parametric, deep learning, and reinforcement learning agent-based model of car-following behaviour. The models aim to be data-driven, and take into account the heterogeneity of drivers' behaviour and vehicle types. Potential future applications include investigation of a mixed traffic of human-driven vehicles and autonomous vehicles.

data-mining

Learning for 《Introduction to Data Mining》

data_mining_project

Project of Introduction to Data Mining course

dcrnn_pytorch

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

ddvrpbtw

Dynamic demands of vehicle routing prblem with time window

deep-rl-tsc

Distributed Deep Reinforcement Learning Traffic Signal Control

deep-spatio-temporal-forecasting-of-electrical-vehicle-charging-demand

deepkalmanfilter

Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction

deepst

Deep Learning for Spatio-Temporal Data

deepst-1

Reconstruction of DeepST

didi_di-tech_3th_smart_traffic_light_competition

滴滴Di-Tech算法大赛第3届智能信号灯https://ditech.didichuxing.com/

do-data-science-with-r

This book written for my students in Data Science course.

dqn_vsl_controller

This is a research project aiming at introducing Deep-Q-Learning methonds to help improve variable speed limitation management in traffic control system.

dta

This repository documents MATLAB implementation of a dynamic user equilibrium solver, including a dynamic network loading sub-routine

dta2020

Dynamic Traffic Assignment

dtalite-dc

dtalite-python

dynamic-traffic-assignment-node-based-with-ctm

This repository contains code related to a research paper I've been working on titled "Dynamic traffic assignment with a node-based cell transmission model satisfying the link-level first-in-first-out principle".

flow

Computational framework for reinforcement learning in traffic control

fly_us

美国大学备考资料 How to apply US colleges