Spaces:
Sleeping
title: Transit Internet Simulation
emoji: 🚀
colorFrom: red
colorTo: pink
sdk: gradio
sdk_version: 6.17.3
python_version: '3.13'
app_file: app.py
pinned: false
license: apache-2.0
short_description: Transit Intent Dashboard
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
Tags: -smart-city -public-transport -demand-responsive -simulation
Problem Statement
Current public transportation systems are largely reactive, operating on static schedules regardless of real-time passenger demand. This leads to inefficiency, as buses or trains often run empty during off-peak hours while becoming overcrowded during peak periods, causing significant uncertainty and waiting time for passengers.
Solution
We propose an "Active Intent Signaling" system. Instead of waiting passively, passengers use a mobile interface to declare their intent to board at specific stations. By aggregating these real-time signals, the system generates a dynamic demand map, allowing operators to transition from rigid schedules to demand-responsive service.
Technology Stack
- Language: Python
- Interface: Gradio (for rapid prototyping and interactive UI)
- Platform: Hugging Face Spaces (for hosting and deployment)
Future Potential
This model serves as a foundation for next-generation Smart City infrastructure. By integrating real-time intent data with AI-driven dispatching algorithms, transit operators can optimize vehicle deployment, reduce energy consumption, and significantly improve service reliability, ultimately creating a more agile and passenger-centric transportation network.
Transit Intent Dashboard (TID)
Concept
This is a proof-of-concept for a Real-time Passenger Intent Signaling System. Instead of waiting passively, passengers use this dashboard to "declare" their intent to board at specific stations.
How to Use
- Select a station (A, B, C...).
- Click the button to register your intent.
- The real-time demand board updates instantly for all users.
Why this matters
- For Passengers: Reduces anxiety by confirming wait numbers.
- For Operators: Provides demand-driven data for efficient scheduling.
Concept Visualization: Live Transit figure.png