# Privacy-Aware Distributed Mobility Choice Modelling over Blockchain

## TL;DR

This paper introduces a privacy-preserving distributed mobility choice modeling framework utilizing blockchain technology, enabling secure, local computations without sharing raw data, demonstrated through a mode choice case study.

## Contribution

It presents a novel blockchain-based system for distributed mobility modeling that maintains privacy and data security during parameter estimation.

## Key findings

- Model parameters are consistent across distributed computations.
- The system ensures privacy without sacrificing accuracy.
- Distributed simulated annealing effectively estimates model parameters.

## Abstract

A generalized distributed tool for mobility choice modelling is presented, where participants do not share personal raw data, while all computations are done locally. Participants use Blockchain based Smart Mobility Data-market (BSMD), where all transactions are secure and private. Nodes in blockchain can transact information with other participants as long as both parties agree to the transaction rules issued by the owner of the data. A case study is presented where a mode choice model is distributed and estimated over BSMD. As an example, the parameter estimation problem is solved on a distributed version of simulated annealing. It is demonstrated that the estimated model parameters are consistent and reproducible.