Topic: traffic-forecasting Goto Github
Some thing interesting about traffic-forecasting
Some thing interesting about traffic-forecasting
traffic-forecasting,LogiTraffic is an IoT based Deep Learning Powered Traffic Management and Theft Detection Solution. It’s an online website platform using which user can keep check on certain real-time parameters associated with the vehicle which includes fuel-level, GPS location, Brake System Temperature, Speed, Traffic Forecasting using Vehicle Detection and obtaining vehicle count through different road nodes and predicting Traffic Congestion/Jams. In case the user suspects his/her car has been stolen by logging in using the credentials one can lock the vehicles and see driver’s real time video stream and a picture of the driver is downloaded on the system so that it can be used for further investigation and police cases. (YouTube Video Presentation by Team Aztecs: https://youtu.be/rP2OGjZJ5NY) – Presented in E-Ujjwala Hackathon 2020 by Birsa Institute of Technology, Jharkhand (Team Aztecs - Finalists)
User: amandewatnitrr
traffic-forecasting,[PAKDD 2021] SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network
User: amitroy7781
Home Page: https://link.springer.com/chapter/10.1007%2F978-3-030-75768-7_8
traffic-forecasting,[IJCNN 2021] Unified Spatio-Temporal modeling for traffic forecasting using Graph Convolutional Network
User: amitroy7781
Home Page: https://ieeexplore.ieee.org/document/9533319
traffic-forecasting,Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
User: aprbw
traffic-forecasting,Model-based AI approach for network and service coordination leveraging uncertain traffic forecasts
Organization: cn-upb
traffic-forecasting,Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.
User: coolgiserz
traffic-forecasting,Official repo for the following paper: Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training (SCPT) (ECML PKDD DAMI '23)
Organization: cruiseresearchgroup
traffic-forecasting,[AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
User: deepkashiwa20
traffic-forecasting,ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
User: echo-ji
traffic-forecasting,This repository contains code and resources for a project focused on predicting traffic volume using Temporal Convolutional Networks (TCNs). Leveraging the Metro Interstate Traffic Volume dataset from 2012-2018, the project aims to develop an accurate model for short- to medium-term traffic volume forecasting in Minneapolis-St Paul, MN.
User: equinox-m
traffic-forecasting,ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction (KSEM 2023)
User: howardzorn
traffic-forecasting,Graph Neural Networks utilization for Spatiotemporal graphs. These methods will be applied into the problem of forecasting traffic flow on PEMS-Bay, METR-LA and Seattle Loop Datasets
Organization: hpi-sam
traffic-forecasting,"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
User: jeongwhanchoi
Home Page: https://arxiv.org/abs/2112.03558
traffic-forecasting,Repository for the paper "Graph Convolutional Networks for Traffic Forecasting with Missing Values" in DMKD'22
User: jingweizuo
traffic-forecasting,Understanding the UNet for Traffic Forecasting Task - A Visual Analytics Approach
User: jingyan-li
Home Page: https://storymaps.arcgis.com/stories/ec5b6c7e3b9d4358a05172f957b3e69c
traffic-forecasting,[CIKM 2023] This is the official source code of "TrendGCN: Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting" based on Pytorch.
User: juyongjiang
Home Page: https://arxiv.org/abs/2208.03063
traffic-forecasting,[IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting
User: kevin-xuan
Home Page: https://www.ijcai.org/proceedings/2022/545
traffic-forecasting,This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.
Organization: knowledge-precipitation-tribe
traffic-forecasting,LibCity: An Open Library for Urban Spatial-temporal Data Mining
Organization: libcity
Home Page: https://libcity.ai/
traffic-forecasting,Paper list in traffic prediction field
Organization: libcity
Home Page: https://bigscity-libcity-docs.readthedocs.io/en/latest/user_guide/model.html
traffic-forecasting,[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
User: lmissher
Home Page: https://ieeexplore.ieee.org/document/10184591
traffic-forecasting,Computation of dynamic selfish flows using predicted travel times
User: michael-markl
traffic-forecasting,Project - Traffic forecasting by spatio-temporal graph model
Organization: ml-for-graph-analysis
traffic-forecasting,STGM: Spatio-Temporal Graph Mixformer for Traffic Forecasting
User: mouradost
traffic-forecasting,A PyTorch implementation of the Attention Diffusion Network from "Structured Time Series Prediction without Structural Prior"
User: radandreicristian
traffic-forecasting,An eXplainable AI system to elucidate short-term speed forecasts in traffic networks obtained by Spatio-Temporal Graph Neural Networks.
User: riccardospolaor
traffic-forecasting,Final Degree Project
User: salvicf
traffic-forecasting,[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
User: wengwenchao123
Home Page: https://www.sciencedirect.com/science/article/pii/S0031320323003710
traffic-forecasting,BIND: Binding Intertemporal Nodes for Multivariate Timeseries Forecasting (Ongoing)
User: wu-guanying
traffic-forecasting,Some TrafficFlowForecasting Solutions(交通流量预测解决方案)
User: xiaoxiong74
traffic-forecasting,Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"
User: yihongt
Home Page: https://dl.acm.org/doi/abs/10.1145/3511808.3557294
traffic-forecasting,A Standard and Fair Time Series Forecasting Benchmark and Toolkit.
User: zezhishao
traffic-forecasting,Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.
User: zezhishao
traffic-forecasting,Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.
User: zezhishao
traffic-forecasting,Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.
User: zezhishao
traffic-forecasting,Traffic Graph Convolutional Recurrent Neural Network
User: zhiyongc
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