Urban-Analytics / data-driven-car-following
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:
- add this later☆11Updated 3 years ago
- A study code for HEVs eco-driving control☆22Updated 2 years ago
- ☆13Updated 3 years ago
- Website for the ECC 2022 paper titled "Learning Eco-Driving Strategies at Signalized Intersections"☆13Updated last year
- - Create a queueing model at signalized intersections (e.g. shockwave profile model); - Create a simple SUMO network with traffic lights;…☆10Updated 3 years ago
- Best lane-changing policy with various types of car, on SUMO simulator.☆12Updated last year
- This python package contains scripts needed to train IRL Driver models on HighD datasets. This code is accompanying the paper "Validating…☆19Updated 3 years ago
- Lane Changes in a Highway environment using Reinforcement learning in SUMO☆55Updated 6 years ago
- SUMO Simulation source code of the study - A Study of Applying Eco-Driving Speed Advisory on Transit Signal Priority☆13Updated 2 years ago
- ☆22Updated 3 years ago
- analyzing NGSIM database: Car Following, Lane Changing☆28Updated 5 years ago
- This database contains codes and processing data for driving style recognition based on Lankershim vehicle trajectory data. For example, …☆18Updated 2 years ago
- Implemenation of DQN for lane changes☆19Updated 6 years ago
- A lane changing optimization planning method for autonomous vehicles in mixed traffic flow. For lane changing using three degree curve an…☆17Updated last year
- Lane-changing decision model based on deep Markov model and Cognitive Hierarchy model☆24Updated 11 months ago
- Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making☆14Updated 2 years ago
- Data Processing For NGSIM dataset☆52Updated 4 years ago
- a DRL-based vehicle scheduling algorithm☆29Updated 2 years ago
- Modeling and control of mixed traffic flow☆45Updated 9 months ago
- Source code for paper "FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling"☆60Updated last year
- We propose a driver modeling process of an intelligent autonomous driving policy, which is obtained through Q-learning.☆23Updated 5 years ago
- Autonomous Intersection Management in SUMO traffic simulator achieved with Python and TraCI libraries☆12Updated 4 years ago
- This contains the model and data for reconstructing NGSIM dataset☆12Updated 2 years ago
- Create Custom GYM Environment for SUMO and reinforcement learning agant☆13Updated 2 years ago
- A SUMO environment for differential varaible speed limits control☆47Updated 4 years ago
- Cooperative Control of Traffic Signals and Connected Vehicles: A Multi-agent Deep Reinforcement Learning Approach☆21Updated 3 years ago
- High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Le…☆2Updated 3 weeks ago
- sumo_learn_project☆40Updated 3 years ago
- [ITSC 2021] Reinforcement Learning for Mixed Autonomy Intersections☆25Updated 2 years ago
- High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Le…☆27Updated last year