iyangli / A-reproducible-approach-to-merging-behavior-analysis-based-on-High-Definition-MapLinks
transparent and reproducible analysis of merging behavior: evidence from exiD dataset
☆12Updated 2 years ago
Alternatives and similar repositories for A-reproducible-approach-to-merging-behavior-analysis-based-on-High-Definition-Map
Users that are interested in A-reproducible-approach-to-merging-behavior-analysis-based-on-High-Definition-Map are comparing it to the libraries listed below
Sorting:
- ☆23Updated 3 years ago
- make lane change decisions in highway environment based on DRL☆29Updated 5 years ago
- calibrate EIDM model in SUMO using HighD data set☆16Updated 2 months ago
- ☆13Updated 4 years ago
- An Integrated Model for Autonomous Speed and Lane Change Decision-Making Based on Deep Reinforcement Learning☆24Updated last year
- Lane Changes in a Highway environment using Reinforcement learning in SUMO☆56Updated 6 years ago
- analyzing NGSIM database: Car Following, Lane Changing☆28Updated 5 years ago
- Driving style classification of lane change driving maneuvers for the NGSIM higway dataset☆30Updated 2 years ago
- High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Le…☆3Updated 2 months 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
- HighD,NGSIM lane change feature extraction and save.☆97Updated 3 years ago
- High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Le…☆30Updated 2 years ago
- ☆25Updated 2 years ago
- This is a project to predict the lane change intention and trajectory incorporating traffic context information☆53Updated 3 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
- ☆11Updated 3 years ago
- Simulation of car following model☆20Updated 2 years ago
- Implementation of a reinforcement learning agent able to do autonomous changing lane using Sumo☆79Updated 2 years ago
- a learning-based decision-making algorithm for on-ramp merging☆27Updated last year
- Data Processing For NGSIM dataset☆55Updated 4 years ago
- Lane-changing decision model based on deep Markov model and Cognitive Hierarchy model☆25Updated last year
- Master's thesis about Deep Reinforcement Learning for Decision Making in autonomous driving☆29Updated 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
- reinforcement learning based agents for self-driving in CARLA☆72Updated 4 years ago
- A solution for the problem of left-turn decision-making at intersections without traffic signals.☆12Updated 2 months ago
- ☆39Updated 3 years ago
- 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
- 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. I…☆12Updated last year
- trajectory prediction using NGSIM. ECE 228 Sp22☆14Updated 3 years ago