A Distributed and Privacy-Aware Speed Advisory System for Optimising Conventional and Electric Vehicles Networks

TL;DR

This paper presents a distributed, privacy-preserving speed advisory system for vehicles that optimizes group emissions and battery consumption using consensus algorithms, validated through simulations and real-world tests.

Contribution

It introduces a novel consensus-based distributed algorithm for speed advisory that preserves vehicle privacy and optimizes environmental and energy metrics.

Findings

Effective reduction in group emissions and battery consumption

Successful implementation in mobility simulations and real vehicle tests

High user acceptability and ease of deployment

Abstract

One of the key ideas to make Intelligent Transportation Systems (ITS) work effectively is to deploy advanced communication and cooperative control technologies among the vehicles and road infrastructures. In this spirit, we propose a consensus-based distributed speed advisory system that optimally determines a recommended common speed for a given area in order that the group emissions, or group battery consumptions, are minimised. Our algorithms achieve this in a privacy-aware manner; namely, individual vehicles do not reveal in-vehicle information to other vehicles or to infrastructure. A mobility simulator is used to illustrate the efficacy of the algorithm, and hardware-in-the-loop tests involving a real vehicle are given to illustrate user acceptability and ease of the deployment.