GenTaylor / Traffic-Accident-Analysis
Traffic Accident Analysis using python machine learning
☆32Updated 3 months ago
Alternatives and similar repositories for Traffic-Accident-Analysis:
Users that are interested in Traffic-Accident-Analysis are comparing it to the libraries listed below
- Data Analysis of Road Traffic Accidents to Minimize the rate of accidents☆12Updated 6 years ago
- This projects entails performing in-depth descriptive analysis and data visualization on United Kingdom Road Traffic and Accident dataset…☆12Updated 4 years ago
- Deep model for accident risk prediction over sparse traffic data☆43Updated 4 years ago
- REALTIME EFFICIENT TRAFFIC MONITORING☆29Updated 3 years ago
- This is a list of useful information about urban mobility prediction. Related papers, datasets and codes are included.☆21Updated 2 years ago
- We developed a system that leverages on YOLO Machine Learning Model for managing the traffic flow based on the vehicle density.☆51Updated 3 years ago
- Road safety is one of the top most priority of every government and individual. Government spends billions of dollars on making great roa…☆14Updated 4 years ago
- Long Short-Term Memory(LSTM) is a particular type of Recurrent Neural Network(RNN) that can retain important information over time using …☆32Updated last month
- Implementation of dynamic origin-destination demand estimation☆20Updated 6 years ago
- A system and method for the prediction of vehicle traffic congestion on a given roadway within a region. In particular, the computer impl…☆43Updated 2 years ago
- The primary objective of this project is to build a Real-Time Taxi Demand Prediction Model for every district and zone of NYC.☆25Updated 3 years ago
- Final Year Project in SEU, 2021.06☆14Updated 3 years ago
- We have used Support Vector Regression and Random Forest Regression to predict traffic or congestion.☆20Updated 4 years ago
- This repository contains all the code used for processing large scale trajectory data as part of the research subject: Infrastructure Eng…☆12Updated 7 years ago
- ☆14Updated 2 years ago
- The name says everything...☆22Updated 2 years ago
- Understanding transportation mode from GPS (Global Positioning System) traces is an essential topic in the data mobility domain. In this …☆47Updated 4 years ago
- An accurate traffic accident predictor can potentially save lives. I hereby described the creation and deployment of such a model using s…☆42Updated 2 years ago
- This is a multiclass classification project to classify severity of road accidents into three categories. this project is based on real-w…☆20Updated 8 months ago
- LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection☆71Updated 6 months ago
- 🚗🚦 Introducing our Smart Adaptive Traffic Management System! 📷🧠 Using YOLO v8 object detection & CCTV cameras, we analyze real-time t…☆25Updated 9 months ago
- IDL course project: Traffic Accident Detection via Deep Learning.☆16Updated 4 years ago
- The traffic handling schemes that are in use today are fixed time allocated traffic signal which do not change on incoming traffic or fai…☆10Updated 3 years ago
- Inferring transportation modes from GPS trajectories using a Convolutional Neural Network☆47Updated 5 years ago
- Smart Traffic Light Management System employs SUMO and reinforcement learning to dynamically optimize signal timings, reducing congestion…☆17Updated last year
- Webapp to predict the Air Quality Index of a region given climate conditions.☆53Updated last year
- A simulation developed from scratch using Pygame to simulate the movement of vehicles across a traffic intersection having traffic lights…☆9Updated 4 years ago
- ☆16Updated last year
- data tutorial for i24motion data users☆9Updated 5 months ago
- Transportation Forecasting Competition☆23Updated 6 years ago