fr001001

fr001001's Stars

• LYuhang/GNN_Review

  GNN综述阅读报告

  Language:Jupyter Notebook889203214

• xiaochus/TrafficFlowPrediction

  Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).

  Language:Python583916242

• Davidham3/ASTGCN-2019-mxnet

  ⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

  Language:Python39690245

• Rintarooo/VRP_DRL_MHA

  "Attention, Learn to Solve Routing Problems!"[Kool+, 2019], Capacitated Vehicle Routing Problem solver

  Language:Python1802038

• JinleiZhangBJTU/Transportation_with_Machine_Learning

  交通·未来系列线上公益学术活动PPT

  1146021

• huang-xx/TrafficPredict

  Pytorch implementation for "TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents"

  Language:Python10981441

• ZhengLi95/User-Equilibrium-Solution

  Program for obtaining the user equilibrium solution with Frank-Wolfe Algorithm in urban traffic assignment

  Language:Python976324

• suprobe/AT-Conv-LSTM

  A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction

  Language:Python964527

• deligentfool/dqn_zoo

  The implement of all kinds of dqn reinforcement learning with Pytorch

  Language:Python922122

• bobbychovip/TrafficFlowPrediction

  LCTFP: A freeway traffic flow prediction model based on CNN and LSTM

  Language:Python850617

• DrKeHan/DTA

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

  Language:MATLAB685223

• mingqian000/TrGNN

  Traffic Flow Prediction with Vehicle Trajectories

  Language:Python631423

• Mikubill/GAN-ConvLSTM

  GAN based ConvLSTM in precipitation prediction (Trial Version)

  Language:Python464118

• pktparticle/gaussianPlume

  Plotting dispersion of dust particles emerging from chimney stacks using Gaussian Plume Dispersion Model

  Language:Python311111

• YanivHacker/RLTrafficManager

  This is a Machine Learning project made by myself, containing several algorithms from the Reinforcement Learning world (DQN, A2C, PPO) with Single and Multi-Agent approaches, to try and minimize waiting time for cars in the SUMO traffic simulator.

  Language:Python16130

• prustyp/Traffic-and-Weather-data-mining-and-modeling-for-Accident-prediction

  Road safety is one of the top most priority of every government and individual. Government spends billions of dollars on making great roadway infrastructure and safety certification of the vehicles, so that the lives of the people on the road will be safer. However, there are still a large number of fatal accidents occurring on the road. In the year 2018 alone, the number of fatalities on the road has increased upto 1.28 million [1]. Predicting accidents have thus become one of the widely researched topics which could be used by different agencies for optimizing traffic conditions (e.g. adding more lanes in one direction and reversing it when the condition changes), provide a dynamic route to riders using GPS and improving overall transportation infrastructure. There are a variety of dataset publicly available for this cause such as accident data, traffic event data and weather data. These datasets could be used to prepare useful classification models to predict whether a particular condition is more prone to accidents and drivers must drive with precaution.

  Language:Jupyter Notebook14101

• nkrgit/Fleet-Scheduling-using-MADDPG-Multi-Agent-RL

  Developed a Multi-Agent DDPG to solve Vehicle Scheduling problem.

  Language:Jupyter Notebook11112

• elifriedman/TrafficQLearning

  Find the user equilibrium in a traffic network by modelling each driver as an independent agent who uses Q Learning to minimize its own travel time.

  Language:Python9200

• longfly04/Traffic-flow-forecast

  Using GAT with temporal attention to forecast urban traffic flow.

  Language:Python9105

• EricaEgg/Route_Dynamics

  For battery-electric bus fleets

  Language:Jupyter Notebook72611

• zaNCEPU/CASA

  Language:Python702

• AirtrafficAnalysisGroup/graph_tools_networkx

  Dataset containing quarterly employment and air traffic data for years 1993-2015, and a set of tools to edit it, retrieve data from it and add more data to it.

  Language:Python4403

• JHaertl/traffic-simulation

  Agent based, space continuous, time discrete traffic simulation.

  Language:Python310

• NGSSistemas/BDSP

  Bus Driver Scheduling Problem

  Language:Python300

• richa1711/Bus-Driver-Scheduling-Problem

  The project's focus was on devising an algorithmic approach that could systematically assign trips to drivers in a way that reduces expenses related to driving and operational inefficiencies.

  Language:Jupyter Notebook3100

• lilybhattacharjee5/traffic

  Modeling traffic flow in multi-agent grid games that learn to avoid collisions and optimize travel time, resource usage, etc.

  Language:Python20

• vanduc103/gcn2020_project

  Graph Neural Network Class (year 2020) - Final Project

  Language:Python2302

• kevincroesch/Evacuation_route_optimizer

  Miami Traffic Prediciton and Evacuation

  Language:Jupyter Notebook120

• PooryaSharifi/online-traffics

  predict average speed of all roads in a city from gps tracking data of users usning ConvLSTM2D

  Language:Python110