LibCity: An Open Library for Urban Spatial-temporal Data Mining
-
Updated
Dec 18, 2024 - Python
LibCity: An Open Library for Urban Spatial-temporal Data Mining
Summary of open source code for deep learning models in the field of traffic prediction
codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction
[IEEE T-ITS] MG-TAR: Multi-view Graph Convolutional Networks for Traffic Accident Risk Prediction
[WWW-21] DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior
M-LibCity: An Open Source Library for Urban Spatio-temporal Prediction Models Based on MindSpore
This study focuses on traffic accident prediction in Bangladesh, aiming to analyze road accident data to identify key factors contributing to crashes and develop predictive models.
The fficial implementation of [TCSVT2025] A Multi-modal Architecture with Spatio-Temporal-Text Adaptation for Video-based Traffic Accident Anticipation https://ieeexplore.ieee.org/abstract/document/10933925/
Nutshell is an Web Application, Designed for Karnataka State Police to Predict and analysis Accidents
Nutshell is an Web Application, Designed for Karnataka State Police to Predict and analysis Accidents
Add a description, image, and links to the traffic-accident-prediction topic page so that developers can more easily learn about it.
To associate your repository with the traffic-accident-prediction topic, visit your repo's landing page and select "manage topics."