GitHub - RoadwayVR/SUMO-Traffic-Simulator-Tutorial: SUMO tutorials from SUMO Quick Start and NetEdit to TraCI, CAVs, energy & emission, and SUMO2Unity.

Welcome to SUMO Traffic Simulator Tutorial

Introduction

This is a wide range of tutorial codes for SUMO traci applications ranging from. You can find the video tutorials in our website Link to Videos in Our Website

1. Vehicle Value Retrieval (for example, extracting trajectory of all cars)

2. Change a vehicle's state (For example, move Ego Car)

3. Get road network stats before running simulation (SUMO Lib)

4. SUMO Traffic Light: Signal Preemption/Priority for Emergency Vehicles

5. SUMO Vehicle Type - Car Following Model and Lane Changing Model

6 - 8. Developing Two Reinforcement Learning Algorithms (Q-Learning and Deep Q-Learning)

9. Developing Mixed Traffic Environment for Autonomous Vehicles and Normal Cars

10. To Be Continued

Name	Name	Last commit message	Last commit date
Latest commit History 24 Commits 24 Commits
SUMOSample	SUMOSample
.gitattributes	.gitattributes
LICENSE	LICENSE
README.md	README.md
Traci1.py	Traci1.py
Traci2.py	Traci2.py
Traci3.py	Traci3.py
Traci4.py	Traci4.py
traci5.FT.py	traci5.FT.py
traci6.QL.py	traci6.QL.py
traci7.DQL.py	traci7.DQL.py
traci8.CAVs.py	traci8.CAVs.py

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Welcome to SUMO Traffic Simulator Tutorial

Introduction

1. Vehicle Value Retrieval (for example, extracting trajectory of all cars)

2. Change a vehicle's state (For example, move Ego Car)

3. Get road network stats before running simulation (SUMO Lib)

4. SUMO Traffic Light: Signal Preemption/Priority for Emergency Vehicles

5. SUMO Vehicle Type - Car Following Model and Lane Changing Model

6 - 8. Developing Two Reinforcement Learning Algorithms (Q-Learning and Deep Q-Learning)

9. Developing Mixed Traffic Environment for Autonomous Vehicles and Normal Cars

10. To Be Continued

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Welcome to SUMO Traffic Simulator Tutorial

Introduction

1. Vehicle Value Retrieval (for example, extracting trajectory of all cars)

2. Change a vehicle's state (For example, move Ego Car)

3. Get road network stats before running simulation (SUMO Lib)

4. SUMO Traffic Light: Signal Preemption/Priority for Emergency Vehicles

5. SUMO Vehicle Type - Car Following Model and Lane Changing Model

6 - 8. Developing Two Reinforcement Learning Algorithms (Q-Learning and Deep Q-Learning)

9. Developing Mixed Traffic Environment for Autonomous Vehicles and Normal Cars

10. To Be Continued

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