InTAS is the Ingolstadt traffic scenario for SUMO, which was designed, developed and validated with real traffic data from measuring points.
☆28Feb 24, 2025Updated last year
Alternatives and similar repositories for InTAS
Users that are interested in InTAS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- code for "Data Might be Enough: Bridge Real-World Traffic Signal Control Using Offline Reinforcement Learning"☆11May 2, 2024Updated last year
- This study is to investigate the optimal control strategies at crosswalks using traffic signal controllers. A multi-agent reinforcement l…☆12Jan 3, 2023Updated 3 years ago
- Publicly available traffic networks and corresponding demands for usage with Eclipse SUMO☆37Nov 19, 2025Updated 4 months ago
- SUMO CAV deployment scenarios for [Gueriau and Dusparic 2020] paper presented at The 23rd IEEE International Conference on Intelligent Tr…☆21Sep 24, 2020Updated 5 years ago
- A synthetic 24 hour traffic scenario for a 45 km section of the German highway A81 between Stuttgart Feuerbach - Heilbronn (Baden-Württem…☆12Oct 5, 2020Updated 5 years ago
- - Create a queueing model at signalized intersections (e.g. shockwave profile model); - Create a simple SUMO network with traffic lights;…☆11Nov 18, 2021Updated 4 years ago
- The code used to generate and evaluate SUMO scenarios for measuring the safety and efficiency of low penetration rates of connected auton…☆14May 12, 2021Updated 4 years ago
- ☆23Aug 30, 2024Updated last year
- A SUMO environment for differential varaible speed limits control☆55Jul 3, 2020Updated 5 years ago
- A dynamic traffic light scheduling algorithm which reduces the wait time of vehicles and pedestrians and optimizes the utilization of a c…☆10Sep 19, 2020Updated 5 years ago
- Analysis of various traffic signal control techniques in SUMO☆15Jun 4, 2019Updated 6 years ago
- Best lane-changing policy with various types of car, on SUMO simulator.☆16Jan 7, 2024Updated 2 years ago
- ☆14Sep 1, 2021Updated 4 years ago
- Reinforcement learning based on ramp entrance and exit control of urban trunk roads☆53Nov 26, 2025Updated 3 months ago
- Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control☆65Oct 17, 2022Updated 3 years ago
- Reinforcement Learning Benchmarks for Traffic Signal Control (RESCO)☆165Dec 11, 2025Updated 3 months ago
- Empower Traffic Simulation via Foundation Model☆23Oct 9, 2023Updated 2 years ago
- 利用sumo作为仿真平台,采用强化学习中的DQN进行交通信号灯相位时间的调整☆54Jan 3, 2019Updated 7 years ago
- Modelling bus-on-demand using SUMO and TraCI.☆19Apr 30, 2014Updated 11 years ago
- Monaco SUMO Traffic (MoST) Scenario☆100Sep 24, 2022Updated 3 years ago
- ☆76Aug 18, 2021Updated 4 years ago
- MetaLight: a value-based meta-reinforcement learning framework for traffic signal control☆44Jan 13, 2020Updated 6 years ago
- ☆31Mar 25, 2025Updated last year
- ☆21Feb 19, 2024Updated 2 years ago
- A Reinforcement Learning based approach for Lane change assistance system☆22Oct 10, 2022Updated 3 years ago
- Cooperative control for traffic light signals and connected autonomous vehicles using deep reinforcement learning☆84Jul 22, 2023Updated 2 years ago
- Open-source implementation of the ETSI C-ITS protocol stack☆220Updated this week
- Development of parametric, deep learning, and reinforcement learning agent-based model of car-following behaviour. The models aim to be d…☆25Nov 18, 2019Updated 6 years ago
- A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to ma…☆494Dec 2, 2025Updated 3 months ago
- Library for providing a loaded lanelet2 map via ROS☆14Jun 28, 2021Updated 4 years ago
- IPDALight for traffic signal control☆19Mar 18, 2024Updated 2 years ago
- Merge coordination aims to minimize the negative impacts of the merging process on the target lane. The shockwave magnitude and duration …☆10Sep 21, 2020Updated 5 years ago
- deep reinforcement learing SUMO☆45May 17, 2018Updated 7 years ago
- Implementation of a reinforcement learning agent able to do autonomous changing lane using Sumo☆90Mar 25, 2023Updated 3 years ago
- Code for paper "Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control"☆18May 26, 2019Updated 6 years ago
- Cooperative Control of Traffic Signals and Connected Vehicles: A Multi-agent Deep Reinforcement Learning Approach☆24Jul 15, 2021Updated 4 years ago
- Tools for developing binary logistic regression models☆15Nov 11, 2024Updated last year
- A Simulation Environment based on SUMO to analyze Scenarios for autonomous driving vehicles in Cities☆33Jun 21, 2023Updated 2 years ago
- ☆19Apr 9, 2022Updated 3 years ago