Urban-Analytics / data-driven-car-followingLinks
Development of parametric, deep learning, and reinforcement learning agent-based model of car-following behaviour. The models aim to be data-driven, and take into account the heterogeneity of drivers' behaviour and vehicle types. Potential future applications include investigation of a mixed traffic of human-driven vehicles and autonomous vehicl…
☆23Updated 5 years ago
Alternatives and similar repositories for data-driven-car-following
Users that are interested in data-driven-car-following are comparing it to the libraries listed below
Sorting:
- A study code for HEVs eco-driving control☆22Updated 2 years ago
- - Create a queueing model at signalized intersections (e.g. shockwave profile model); - Create a simple SUMO network with traffic lights;…☆11Updated 3 years ago
- Website for the ECC 2022 paper titled "Learning Eco-Driving Strategies at Signalized Intersections"☆13Updated 2 years ago
- A SUMO environment for differential varaible speed limits control☆49Updated 5 years ago
- Source code for paper "FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling"☆62Updated last year
- This python package contains scripts needed to train IRL Driver models on HighD datasets. This code is accompanying the paper "Validating…☆20Updated 3 years ago
- ☆13Updated 3 years ago
- a DRL-based vehicle scheduling algorithm☆30Updated 2 years ago
- ☆10Updated 2 years ago
- Lane Changes in a Highway environment using Reinforcement learning in SUMO☆58Updated 6 years ago
- SUMO Simulation source code of the study - A Study of Applying Eco-Driving Speed Advisory on Transit Signal Priority☆14Updated 2 years ago
- add this later☆10Updated 4 years ago
- [ITSC 2021] Reinforcement Learning for Mixed Autonomy Intersections☆29Updated 2 years ago
- Code for a car-following model that predicts the acceleration of a car for the next time step based on headway and velocity data.☆32Updated 6 years ago
- Reinforcement learning based on ramp entrance and exit control of urban trunk roads☆48Updated last year
- Data Processing For NGSIM dataset☆56Updated 4 years ago
- A reinforcement learning based behaviour planner for autonomous driving agents☆19Updated 4 years ago
- The environment code for the paper 'Learning-based Eco-driving Strategy Design for Connected Power-split Hybrid Electric Vehicles at Sign…☆37Updated 3 years ago
- This database contains codes and processing data for driving style recognition based on Lankershim vehicle trajectory data. For example, …☆20Updated 3 years ago
- This contains the model and data for reconstructing NGSIM dataset☆13Updated 2 years ago
- Implementation of a reinforcement learning agent able to do autonomous changing lane using Sumo☆82Updated 2 years ago
- We propose a driver modeling process of an intelligent autonomous driving policy, which is obtained through Q-learning.☆23Updated 5 years ago
- An environment-agnostic framework for comparing intersection control algorithms☆28Updated 3 years ago
- indrajitsadhukhan / Improving-traffic-flow-in-a-single-intersection-using-data-from-its-neighbouring-intersectionsIt is a project build on Simulation Of Urban Mobility(SUMO) to simulate a single intersection and optimize the traffic by minimizing queu…☆19Updated 4 years ago
- sumo_learn_project☆42Updated 3 years ago
- SUMO chinese document translation project☆21Updated 4 years ago
- This is the description of the comparisive car-following dataset for studying driving behaviours when following AVs vs. HVs.☆30Updated 10 months ago
- Cooperative Control of Traffic Signals and Connected Vehicles: A Multi-agent Deep Reinforcement Learning Approach☆22Updated 4 years ago
- Generative adversarial imitation learning on NGSIM I-80 Dataset.☆15Updated 2 years ago
- ☆10Updated last year