YimingShu-teay / Car-FollowingLinks
These codes were written a long time ago，which is simple for car following. The car in front can be in IDM mode or constant speed mode. It uses the car following dynamic model and MPC-DCBF controller（NLP problem solved by ipopt） to control the follower.
☆12Updated last year
Alternatives and similar repositories for Car-Following
Users that are interested in Car-Following are comparing it to the libraries listed below
Sorting:
- A solution for the problem of left-turn decision-making at intersections without traffic signals.☆12Updated 2 months ago
- transparent and reproducible analysis of merging behavior: evidence from exiD dataset☆12Updated 2 years ago
- ☆23Updated 3 years ago
- ☆13Updated 4 years ago
- a learning-based decision-making algorithm for on-ramp merging☆27Updated last year
- Trajectory prediction using CARLA simulated data☆18Updated last year
- Implementation of motion planning for self-driving cars based on EM Planner in Carla.☆59Updated 2 years ago
- Data Processing For NGSIM dataset☆55Updated 4 years ago
- An Integrated Model for Autonomous Speed and Lane Change Decision-Making Based on Deep Reinforcement Learning☆24Updated last year
- analyzing NGSIM database: Car Following, Lane Changing☆28Updated 5 years ago
- Implement reinforcement learning algorithms to realize highway decision making of autonomous vehicles☆12Updated 2 years ago
- LSTM lane-changing detection utilizing highD dataset☆150Updated last year
- onsite structured testing tool, which provides three testing capabilities: playback testing, fragmented two-way interactive testing and c…☆29Updated 3 months ago
- potential risk model for autonomous vehicles☆12Updated 5 months ago
- Emergency Index (EI): A two-dimensional surrogate safety measure considering vehicles' interaction depth☆22Updated last month
- Simulation of car following model☆20Updated 2 years ago
- A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles…☆37Updated last year
- This file contains code used for a full end-to-end framework for Autonomous Vehicle's lane change using Hierarchical Reinforcement Learni…☆124Updated 3 years ago
- make lane change decisions in highway environment based on DRL☆29Updated 5 years ago
- This is a project to predict the lane change intention and trajectory incorporating traffic context information☆53Updated 3 years ago
- path planning and speed planning are implemented in this project☆19Updated 2 years ago
- calibrate EIDM model in SUMO using HighD data set☆16Updated 2 months ago
- reinforcement learning based agents for self-driving in CARLA☆72Updated 4 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
- HighD,NGSIM lane change feature extraction and save.☆97Updated 3 years ago
- Proposed to leverage human driving data to learn a social preference model of human driving using inverse reinforcement learning and then…☆9Updated 2 years ago
- This repository allows for fast computation of two-dimensional Time-To-Collision (TTC), DRAC, and MTTC.☆48Updated last month
- ☆39Updated 3 years ago
- ☆25Updated 2 years ago
- Driving style classification of lane change driving maneuvers for the NGSIM higway dataset☆30Updated 2 years ago