IoTLabDLUT / MCLC2Links
Multi-vehicle Coordinated Lane Change Strategy
☆11Updated 4 years ago
Alternatives and similar repositories for MCLC2
Users that are interested in MCLC2 are comparing it to the libraries listed below
Sorting:
- 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
- The codes for the paper ``Cooperative adaptive cruise control for string stable mixed traffic: Benchmark and human-centered design" (2017…☆16Updated 4 years ago
- The environment code for the paper 'Learning-based Eco-driving Strategy Design for Connected Power-split Hybrid Electric Vehicles at Sign…☆36Updated 2 years ago
- ME231A Project / MPC for lane change☆16Updated 5 years ago
- A study code for HEVs eco-driving control☆22Updated 2 years ago
- This research is to create a decision making module for Lane changing Task of Autonomous vehicles.☆26Updated 4 years ago
- Lane-changing trajectory planning of the autonomous vehicle based on the quintic polynomial model☆41Updated 4 years ago
- analyzing NGSIM database: Car Following, Lane Changing☆28Updated 5 years ago
- code for paper: [1] M. Hu, X. Wang, Y. Bian, D. Cao, and H. Wang, “Disturbance Observer-Based Cooperative Control of Vehicle Platoons Sub…☆26Updated last year
- make lane change decisions in highway environment based on DRL☆27Updated 5 years ago
- A research project that leverages reinforcement learning and game theory in self-driving cars☆16Updated 4 years ago
- ☆22Updated 3 years ago
- Lane change implementation through pure pursuit, stanley and Lateral Lane Changing Controller Design☆10Updated 5 months ago
- Code for Convex Optimization for Long-term Eco-driving of Fuel Cell Hybrid Electric Vehicles on Signalized Corridors☆27Updated 9 months ago
- We propose a driver modeling process of an intelligent autonomous driving policy, which is obtained through Q-learning.☆23Updated 5 years ago
- Master's thesis about Deep Reinforcement Learning for Decision Making in autonomous driving☆27Updated 6 years ago
- Best lane-changing policy with various types of car, on SUMO simulator.☆13Updated last year
- Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making☆14Updated 2 years ago
- Autonomous Intersection Management in SUMO traffic simulator achieved with Python and TraCI libraries☆12Updated 4 years ago
- High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Le…☆29Updated 2 years ago
- This project implements a reinforcement learning (RL) agent integrated with a Model Predictive Controller (MPC) for autonomous lane chang…☆23Updated 4 months ago
- Codes for "Balancing Computation Speed and Quality: A Decentralized Motion Planning Method for Cooperative Lane Changes of Connected and …☆32Updated 6 years ago
- DevrajdasAdhikary / -Reinforcement-Learning-Based-Path-Following-Control-for-a-Vehicle-with-Variable-Delay-in-Drive-TraiImplement an RL -based path following controller using DDPG algorithm and apply it on the given vehicle model in the paper “Reinforcement…☆23Updated 2 years ago
- Design and simulation of low level lateral and longitudinal control to demonstrate path planning, following and collision avoidance for a…☆13Updated 4 years ago
- Improving Safety in Mixed Traffic: A Learning-based Model Predictive Control for Autonomous and Human-Driven Vehicle Platooning☆65Updated 2 years ago
- A non-cooperative Nash game-based upper-level controller and a lower-level controller based on quadratic programming allocation algorithm…☆14Updated last year
- Adaptive cruise control，The reference paper“ Realistic Car-Following Models for Microscopic Simulation of Adaptive and Cooperative Adapti…☆18Updated last year
- A lane changing optimization planning method for autonomous vehicles in mixed traffic flow. For lane changing using three degree curve an…☆17Updated last year
- ☆11Updated 3 years ago
- ☆19Updated last year