Alternatives and similar repositories for SUMO_Matlab_Cosimulator_event_Triggered_Scenario:

Users that are interested in SUMO_Matlab_Cosimulator_event_Triggered_Scenario are comparing it to the libraries listed below

• Hanyang-CAM-Lab / SUMO_traffic_data_cosimulator
  MATLAB을 활용한 Simulation of Urban MObility(SUMO) 교통트래픽 데이터 샘플링 코드
  ☆11Updated last year
• Hanyang-CAM-Lab / MIMO_Systems
  ☆11Updated last year
• ML-Tina / HigwayOvertakingLaneChanges
  Lane Changes in a Highway environment using Reinforcement learning in SUMO
  ☆55Updated 6 years ago
• lokesh-c-das / intelligent-self-driving-car
  High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Le…
  ☆2Updated this week
• federicovergallo / SUMO-changing-lane-agent
  Implementation of a reinforcement learning agent able to do autonomous changing lane using Sumo
  ☆77Updated 2 years ago
• LoheshM / Comparative-Analysis-of-Reinforcement-Learning-Models-for-Lane-Change-Decision-Making
  Intelligent lane-changing system for autonomous vehicles leveraging Deep Q-Network (DQN), Double DQN, and Dueling Double DQN models in CA…
  ☆58Updated last year
• A-D-Alamdari / intelligent-self-driving-car
  High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Le…
  ☆26Updated last year
• Gaochengzhi / SUMO-calibration
  calibrate EIDM model in SUMO using HighD data set
  ☆16Updated last year
• VCII-Team / Double-layer-decision-making-model
  An Integrated Model for Autonomous Speed and Lane Change Decision-Making Based on Deep Reinforcement Learning
  ☆23Updated last year
• chris-s907 / Highway-Decision-making-of-self-vehicle
  Implement reinforcement learning algorithms to realize highway decision making of autonomous vehicles
  ☆11Updated last year
• byq-luo / Lane_change_RL
  make lane change decisions in highway environment based on DRL
  ☆27Updated 5 years ago
• momostafas / lane-change-RL-carla
  ☆12Updated 3 years ago
• MaxPRon / DQN-for-lane-change-in-highway-scenarios
  Master's thesis about Deep Reinforcement Learning for Decision Making in autonomous driving
  ☆27Updated 6 years ago
• lim-it-err / lane_change_sumo
  Best lane-changing policy with various types of car, on SUMO simulator.
  ☆12Updated last year
• Ilhem23 / change_lane_DQN
  Lane Changer Agent DQN
  ☆46Updated 3 years ago
• zhexilian / On-ramp-merging-decision-making
  a learning-based decision-making algorithm for on-ramp merging
  ☆26Updated last year
• dajiangsuo / EV_mixtedAutonomy
  Using RL-controlled vehicles as traffic regulator to reduce the travel time of emergency vehicles near intersections
  ☆11Updated 3 years ago
• zeonchen / DMCHM
  Lane-changing decision model based on deep Markov model and Cognitive Hierarchy model
  ☆24Updated 10 months ago
• KaguraTart / SUMO-RL-ramp-control
  Reinforcement learning based on ramp entrance and exit control of urban trunk roads
  ☆47Updated last year
• ghoshavirup0 / HighwayENV
  Highway driving simulator incorporating NGSIM dataset using reinforcement learning
  ☆66Updated 3 years ago
• pulinau / sumo_rl_driving
  A reinforcement learning based behaviour planner for autonomous driving agents
  ☆18Updated 4 years ago
• Amrabdrabo1 / Optimal-Control-for-Connected-and-Autonomous-Vehicles-at-Signal-Free-Intersection
  Optimal-Control-for-Connected-and-Autonomous-Vehicles-at-Signal-Free-Intersection.
  ☆14Updated last year
• mahmoudtaouti / RL_Highway_Merge
  applying multi-agent reinforcement learning for highway-merging autonomous vehicles
  ☆53Updated last year
• cyingliu / Game-Theory-Lane-Changing
  ☆22Updated 3 years ago
• jessapinkman / Recognition-of-Driving-Style-NGSIM
  Driving style classification of lane change driving maneuvers for the NGSIM higway dataset
  ☆28Updated last year
• foxreigns / On-ramp-highway-merging
  ☆10Updated 3 years ago
• SuMingzhi96 / highway-env-ppo
  ☆25Updated 2 years ago
• Sanjulavj / Multi-behavior-Learning-for-Socially-Compatible-Autonomous-Driving
  Proposed to leverage human driving data to learn a social preference model of human driving using inverse reinforcement learning and then…
  ☆8Updated last year
• iyangli / A-reproducible-approach-to-merging-behavior-analysis-based-on-High-Definition-Map
  transparent and reproducible analysis of merging behavior: evidence from exiD dataset
  ☆12Updated 2 years ago
• ghimiremukesh / Autonomous-Driving
  The autonomous driving related publications of our lab.
  ☆9Updated 3 years ago