Hao HUANG

PhD in Mathematics for non-regular dynamics. Building data-driven models and crypto trading systems.

Petit Metro Simulator

This project is a simulation prototype of railway signaling systems developed during my final-year internship at ENSTA Paris (2019).
It simulates train behavior under both traditional fixed-block and CBTC (Communication-Based Train Control) systems, with emphasis on modularity and extensibility.

GitHub repo

Objectives

  • Simulate multi-train operation under different signaling protocols.
  • Model core elements: stations, terminus, tracks, junctions, nodes.
  • Implement train dynamics: acceleration, braking, coasting, station stop, dwell time.
  • Compare fixed-block and CBTC signaling behaviors.
  • Visualize results: position-time curves, speed-distance plots, train gaps.

Architecture

railway-signal-simulator/
├── main.py               # Simulation entry point
├── DefClass/             # Core classes: Train, Dummy, Track, Station...
├── InitData/             # Configurable scenario setups
├── PlotTool/             # Data visualization tools (matplotlib)
├── Generator/            # Track/train generator modules
├── Simulator/            # Runtime simulation process
├── tests/                # Test scenarios and edge case checks
├── figs/                 # Generated charts
└── README.md

Key Modules

Module Description
Train / Dummy Implements the train logic and its virtual proxy used for spacing calculations.
Line / Track / Node Defines the track network topology, including connections, direction, and speed limits.
Station / Terminus Models station stops, arrivals/departures, and turnaround behavior.
Measure / Balise Handles location sensing and feedback mechanisms (e.g., RFID, position markers).
PlotTool Visualizes outputs: position vs. time, speed vs. distance, train gaps, etc.
InitData Stores preset simulation configurations (e.g., multi-train scenarios, terminal layout).

Sample Outputs

Speed adaptation curve: one train adjusting to multiple speed limits and targets along the track.

Multi-train operation simulation (7 trains, 2 termini): position vs. time chart showing cyclic dispatching and safe spacing control.

Technical Notes

  • Developed in Python, with modular design across simulation, plotting, and train dynamics.
  • Project is intended as a prototype — suitable for experimentation, research, and educational use.

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