Vehicular traffic flow simulator in road network, written in pure Python
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Updated
May 30, 2024 - Python
Vehicular traffic flow simulator in road network, written in pure Python
Computational Transportation Science (CTS) resources for everyone!
Connected & Automated Vehicles (CAV) Traffic Simulator created using Python and ChatGPT.
Central repository for work related to Master's thesis research
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)
The vehicle orientation dataset is a large-scale dataset containing more than one million annotations for vehicle detection with simultaneous orientation classification using a standard object detection network.
An AI Pipeline which can be run on Jetson, which detects the numberplate from the incoming vehicles and stores the vehicle number to a database
interactive demonstration of fundamentals of traffic flow and simulation on the web
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.
SocialMeta 2023 Workshop Paper: Network Traffic in the Metaverse: The Case of Social VR
Zastosowanie równań różniczkowych do modelowania korków drogowych. Dopasowanie stworzonych modeli do rzeczywistego skrzyżowania.
Using reinforcement learning and genetic algorithms to improve traffic flow and reduce vehicle waiting times in a single-lane two-way junction simulator by coordinating traffic signal schedules.
sharing traffic data for our research direction, there have traffic speed, flow, incident, etc,.
Система моделирования работы автозаправочной станции. Система моделирования работы газовоздушного тракта котельной. Плагин коричневых знаков для ГИС
Calibration-free traffic state estimation method using detectors and connected vehicles data
Implementation of a multi-agent system for the modeling of carpooling in a city with one-way streets. Used Python and the Mesa package for multi-agent modeling.
Simulation for superblocks urbanism model.
Organize some grid-based traffic flow datasets, mainly New York City bicycle and taxi data
Repository for degree project: "Machine Learning-Based Data-Driven Traffic Flow Estimation from Mobile Data". Conducted at Research Institutes of Sweden (RISE).
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