Multimodal Network Data for Privacy-Preserving Traffic Assignment

 
This repository contains all necessary assets to replicate the study "Multimodal traffic assignment from privacy-protected OD data."
 
📁 Data
Location: /dataThe dataset includes the following components:

Network Link Data: Parameters (cost, capacity, travel time) for each network link.

Route Sets: Pre-defined sequences of links (routes) analyzed in the case studies.

 
💻 Code
Implementation: The full PPTA model, privacy mechanism, and evaluation framework.

Language: Python 3.8+

Dependencies: Install required libraries:

pip install numpy pandas matplotlib scipy cvxpy

Note: The Mosek solver requires a separate license and installation.

Execution: Navigate to the PrivacyPreservingTrafficAssignment directory and run:

python main_ppta_new.py

This will execute the main script and reproduce the key results from the paper.

 
📄 Documentation
For a detailed explanation of the methodology, file descriptions, and step-by-step instructions, refer to:replication-explanatory-file-commtr-PPTA.docx