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☆31Updated 2 years ago
- ☆23Updated 3 years ago
- analyzing NGSIM database: Car Following, Lane Changing☆29Updated 5 years ago
- Lane change detection on NGSIM dataset☆15Updated 2 years ago
- High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Le…☆32Updated 2 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
- calibrate EIDM model in SUMO using HighD data set☆16Updated 3 months ago
- 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
- Lane-changing decision model based on deep Markov model and Cognitive Hierarchy model☆26Updated last year
- Repository for Driving Style Recognition algorithms for Autonomous Vehicles☆36Updated last year
- Master's thesis about Deep Reinforcement Learning for Decision Making in autonomous driving☆29Updated 6 years ago
- Data Processing For NGSIM dataset☆56Updated 4 years ago
- An Integrated Model for Autonomous Speed and Lane Change Decision-Making Based on Deep Reinforcement Learning☆26Updated last year
- Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making☆14Updated 2 years ago
- Best lane-changing policy with various types of car, on SUMO simulator.☆13Updated last year
- Implement reinforcement learning algorithms to realize highway decision making of autonomous vehicles☆12Updated 2 years ago
- This is a project to predict the lane change intention and trajectory incorporating traffic context information☆54Updated 3 years ago
- a learning-based decision-making algorithm for on-ramp merging☆28Updated last year
- This repository contains the Python implementation for our game theory group project on lane-changing in autonomous vehicles.☆10Updated last year
- ☆11Updated 3 years ago
- A lightweight LSTM recurrent neural network for vehicle trajectory prediction☆17Updated 3 years ago
- Lane Changes in a Highway environment using Reinforcement learning in SUMO☆58Updated 6 years ago
- ☆11Updated 3 years ago
- 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
- This project implements a reinforcement learning (RL) agent integrated with a Model Predictive Controller (MPC) for autonomous lane chang…☆26Updated 7 months ago
- HighD,NGSIM lane change feature extraction and save.☆99Updated 3 years ago
- trajectory prediction using NGSIM. ECE 228 Sp22☆14Updated 3 years ago
- Intelligent lane-changing system for autonomous vehicles leveraging Deep Q-Network (DQN), Double DQN, and Dueling Double DQN models in CA…☆61Updated last year
- outputs the features of the vehicles along with the featuures of neighboring vehicles track by track. This is suitable for vehicle trajec…☆22Updated 4 months ago