Urban-Analytics / data-driven-car-following
Development of parametric, deep learning, and reinforcement learning agent-based model of car-following behaviour. The models aim to be data-driven, and take into account the heterogeneity of drivers' behaviour and vehicle types. Potential future applications include investigation of a mixed traffic of human-driven vehicles and autonomous vehicl…
☆23Updated 5 years ago
Alternatives and similar repositories for data-driven-car-following:
Users that are interested in data-driven-car-following are comparing it to the libraries listed below
- add this later☆10Updated 3 years ago
- A study code for HEVs eco-driving control☆22Updated 2 years ago
- This python package contains scripts needed to train IRL Driver models on HighD datasets. This code is accompanying the paper "Validating…☆19Updated 3 years ago
- ☆13Updated 3 years ago
- Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making☆14Updated 2 years ago
- Lane Changes in a Highway environment using Reinforcement learning in SUMO☆55Updated 6 years ago
- Website for the ECC 2022 paper titled "Learning Eco-Driving Strategies at Signalized Intersections"☆13Updated last year
- - Create a queueing model at signalized intersections (e.g. shockwave profile model); - Create a simple SUMO network with traffic lights;…☆10Updated 3 years ago
- Best lane-changing policy with various types of car, on SUMO simulator.☆12Updated last year
- SUMO Simulation source code of the study - A Study of Applying Eco-Driving Speed Advisory on Transit Signal Priority☆13Updated 2 years ago
- ☆10Updated 3 years ago
- a DRL-based vehicle scheduling algorithm☆27Updated 2 years ago
- Lane-changing decision model based on deep Markov model and Cognitive Hierarchy model☆24Updated 10 months ago
- Implemenation of DQN for lane changes☆19Updated 6 years ago
- Leading Cruise Control☆19Updated 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
- Modeling and control of mixed traffic flow☆44Updated 9 months ago
- analyzing NGSIM database: Car Following, Lane Changing☆28Updated 5 years ago
- Create Custom GYM Environment for SUMO and reinforcement learning agant☆13Updated last year
- This contains the model and data for reconstructing NGSIM dataset☆11Updated 2 years ago
- ☆22Updated 3 years ago
- High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Le…☆26Updated last year
- A reinforcement learning based behaviour planner for autonomous driving agents☆18Updated 4 years ago
- [ITSC 2021] Reinforcement Learning for Mixed Autonomy Intersections☆25Updated 2 years ago
- Reinforcement learning based on ramp entrance and exit control of urban trunk roads☆47Updated last year
- A SUMO environment for differential varaible speed limits control☆47Updated 4 years ago
- Lane Changer Agent DQN☆46Updated 3 years ago
- make lane change decisions in highway environment based on DRL☆27Updated 5 years ago
- High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Le…☆2Updated this week
- Using RL-controlled vehicles as traffic regulator to reduce the travel time of emergency vehicles near intersections☆11Updated 3 years ago