omprakash2021 / Lane-Change-Optimization-for-Autonomous-VehicleLinks
A lane changing optimization planning method for autonomous vehicles in mixed traffic flow. For lane changing using three degree curve and car following model. Implemented cost(comfortability and efficiency) to determine best optimal trajectory to decide the lane change.
☆17Updated last year
Alternatives and similar repositories for Lane-Change-Optimization-for-Autonomous-Vehicle
Users that are interested in Lane-Change-Optimization-for-Autonomous-Vehicle are comparing it to the libraries listed below
Sorting:
- Driving style classification of lane change driving maneuvers for the NGSIM higway dataset☆33Updated 2 years ago
- High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Le…☆34Updated 2 years ago
- analyzing NGSIM database: Car Following, Lane Changing☆30Updated 6 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
- make lane change decisions in highway environment based on DRL☆30Updated 5 years ago
- ☆23Updated 3 years ago
- calibrate EIDM model in SUMO using HighD data set☆16Updated 5 months ago
- Lane-changing decision model based on deep Markov model and Cognitive Hierarchy model☆28Updated 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
- Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making☆16Updated 3 years ago
- Best lane-changing policy with various types of car, on SUMO simulator.☆14Updated last year
- Repository for Driving Style Recognition algorithms for Autonomous Vehicles☆37Updated last year
- Data Processing For NGSIM dataset☆56Updated 4 years ago
- Lane change detection on NGSIM dataset☆16Updated 2 years ago
- Implement reinforcement learning algorithms to realize highway decision making of autonomous vehicles☆12Updated 2 years ago
- sumo_learn_project☆44Updated 3 years ago
- Lane Changes in a Highway environment using Reinforcement learning in SUMO☆59Updated 7 years ago
- An Integrated Model for Autonomous Speed and Lane Change Decision-Making Based on Deep Reinforcement Learning☆27Updated last year
- This is a project to predict the lane change intention and trajectory incorporating traffic context information☆55Updated 3 years ago
- a learning-based decision-making algorithm for on-ramp merging☆31Updated last year
- Master's thesis about Deep Reinforcement Learning for Decision Making in autonomous driving☆29Updated 6 years ago
- A lightweight LSTM recurrent neural network for vehicle trajectory prediction☆18Updated 3 years ago
- Intelligent lane-changing system for autonomous vehicles leveraging Deep Q-Network (DQN), Double DQN, and Dueling Double DQN models in CA…☆63Updated last year
- Code for the paper @article{ author={Armijos, A. S. C. and Li, A. and Cassandras, C. G.}, title={Maximizing Safety and Efficiency for Coo…☆19Updated last year
- ☆13Updated 4 years ago
- ☆11Updated 3 years ago
- Deep Multi-Agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic - Topics in Intelligent Systems☆18Updated 10 months ago
- ☆11Updated 3 years ago
- Reinforcement learning based on ramp entrance and exit control of urban trunk roads☆50Updated last year
- Autonomous Intersection Management in SUMO traffic simulator achieved with Python and TraCI libraries☆13Updated 5 years ago