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intellectual-variable-speed-limit-controller's Introduction

Intellectual-Variable-Speed-Limit-Controller

Introduction

This is a TRBAM2020 project. The main purpose is to construct a robust and intelligent speed limit control system for freeway management, with state-of-art machine learning techniques.

All rights of this project are reserved by college of Transportation Engineering at Tongji University.

College of Transportation Engineering at Tongji University

Website: tjjt.tongji.edu.cn

Team:

Title Name Homepage
Professor Yuxiong Ji Info
Bachelor Juanwu Lu Homepage
Graduate Yu Tang

File Structure

.
├── lib               // Reference modules 
├── Project       // A freeway simulation scenario based on SUMO
│   ├── Output // Output logging files
│   ├── ramp.add.xml
│   ├── ramp.net.xml
│   ├── ramp.rou.xml
│   ├── ramp.sumo.cfg
│   ├── vsl.def.xml
│   └── viewsettings.xml
├── __init__.py
├── benchmark.py  // Benchmark module for research paper.
├── core.py             // Reinforcement learning agent.
├── param.py         //  Hyperparams for env and agent. 
└── env.py             // Reinforcement learning environment

intellectual-variable-speed-limit-controller's People

Contributors

juanwulu avatar

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