AdeboyeML / Timeseries_Analysis_Forecast_UK_Road_Traffic_Accident
This projects entails performing in-depth descriptive analysis and data visualization on United Kingdom Road Traffic and Accident dataset and also Forecasting/Predicting the rate of accidents in UK for the next 2 years.
☆12Updated 4 years ago
Alternatives and similar repositories for Timeseries_Analysis_Forecast_UK_Road_Traffic_Accident
Users that are interested in Timeseries_Analysis_Forecast_UK_Road_Traffic_Accident are comparing it to the libraries listed below
Sorting:
- Here, I analyze the Road Safety and Traffic Demographics dataset (UK), containing accidents reported by the police between the years of 2…☆9Updated 5 years ago
- Traffic Accident Analysis using python machine learning☆31Updated 6 months ago
- ☆13Updated last year
- LLMob is an intuitive framework that builds reasoning logic for LLMs in the context of personal activity trajectory generation.☆46Updated 3 weeks ago
- Collection of methods that compute emissions starting from mobility trajectories.☆23Updated last year
- This is a list of useful information about urban mobility prediction. Related papers, datasets and codes are included.☆21Updated 2 years ago
- a PyTorch implementation of the paper "Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic informa…☆97Updated 3 years ago
- A tool for generating zone-to-zone travel demand based on grid zones and gravity model☆80Updated 7 months ago
- ☆84Updated 7 months ago
- transport accessibility measures in Python☆19Updated 4 years ago
- Traffic accident prediction using graph neural networks☆48Updated 6 months ago
- ☆137Updated 3 years ago
- Urban Dynamics Through the Lens of Human Mobility☆16Updated last year
- The benchmark related to the survey: An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques☆28Updated last year
- ☆21Updated last year
- Implementation of dynamic origin-destination demand estimation☆20Updated 6 years ago
- The code and documentation for geo-contextual multitask embedding learner☆25Updated 3 years ago
- ☆43Updated 2 years ago
- Cracow's roads graph analysis and exploration. Data exploration course on AGH UST Data Science Ms☆20Updated last year
- ☆14Updated last year
- [SIGSPATIAL '22] Next location prediction considering travel mode☆18Updated last year
- CityGPT: Empowering Urban Spatial Cognition of Large Language Models☆23Updated 4 months ago
- ☆20Updated 6 months ago
- Python package for downloading and formatting the UK's Road Safety Data.☆14Updated 9 months ago
- Implementation of the paper - Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction☆41Updated 2 years ago
- Urban Cup 2023☆16Updated last year
- Data and codes for MetroGAN☆16Updated 4 months ago
- An open-source, cross-platform, lightweight, and fast Python path engine for networks encoded in GMNS.☆60Updated 2 months ago
- 🌇 Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks☆18Updated 5 years ago
- ☆12Updated 4 years ago