HKUST-DRIVE-AI-LAB / FollowNet
Source code for paper "FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling"
☆59Updated last year
Alternatives and similar repositories for FollowNet:
Users that are interested in FollowNet are comparing it to the libraries listed below
- CAVSim: a traffic simulator for connected and automated vehicles (CAVs)☆46Updated last year
- Data Processing For NGSIM dataset☆53Updated 4 years ago
- A SUMO environment for differential varaible speed limits control☆45Updated 4 years ago
- Lane-changing decision model based on deep Markov model and Cognitive Hierarchy model☆24Updated 10 months ago
- Simulation of car following model☆17Updated 2 years ago
- Lane Changes in a Highway environment using Reinforcement learning in SUMO☆55Updated 6 years ago
- ☆13Updated 3 years ago
- Lane Changer Agent DQN☆47Updated 3 years ago
- High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Le…☆1Updated last year
- Implementation of a reinforcement learning agent able to do autonomous changing lane using Sumo☆77Updated 2 years ago
- Simple visualization of NGSIM I-80 dataset☆99Updated 7 years ago
- 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
- Online Resource Repository: Datasets, Simulation Platforms, and Empirical Research on Emerging Mixed Traffic of Automated Vehicles and Hu…☆14Updated last year
- Reinforcement learning based on ramp entrance and exit control of urban trunk roads☆46Updated last year
- HighD preprocessing☆18Updated 3 years ago
- ☆35Updated 3 years ago
- ☆12Updated 3 years ago
- This repository collects a set of tools for extracting, visualizing, and simulating Next Generation Simulation (NGSIM) dataset. The tools…☆37Updated 3 years ago
- calibrate EIDM model in SUMO using HighD data set☆16Updated last year
- make lane change decisions in highway environment based on DRL☆27Updated 5 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
- Aiming at the problem of the traffic efficiency of intelligent networked vehicles passing through unsignalized-intersection in the future…☆46Updated 3 years ago
- Change the data format of NGSIM dataset to HighD dataset format☆22Updated 4 years ago
- Python package to process NGSIM data and traffic sensing with autonomous vehicles☆54Updated 4 years ago
- reinforcement learning based agents for self-driving in CARLA☆69Updated 4 years ago
- (TNNLS) Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving☆60Updated 2 years ago
- Intelligent lane-changing system for autonomous vehicles leveraging Deep Q-Network (DQN), Double DQN, and Dueling Double DQN models in CA…☆58Updated last year
- Some plugins for highD series dataset☆40Updated last year
- transparent and reproducible analysis of merging behavior: evidence from exiD dataset☆12Updated last year
- The official code for paper "Human as AI Mentor: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driv…☆34Updated last year