Multi-Regional Traffic Control with Travel and Charging Demand Co-Management

TL;DR

This paper introduces a regional traffic management framework that integrates route guidance and charging demand control to enhance urban traffic efficiency amid increasing electric vehicle adoption.

Contribution

It develops a novel macroscopic model and optimization approach for joint routing and charging management in multi-regional urban networks.

Findings

The framework improves traffic flow and reduces congestion in a simulated 16-region network.

Joint optimization of routing and charging leads to better system-level performance.

Demand management effectively regulates external inflows to prevent congestion.

Abstract

Urban traffic management is essential for reducing congestion and supporting sustainable mobility. However, the task is becoming more challenging due to the growing penetration of electric vehicles and their charging demands. This paper presents a regional traffic coordination framework that combines route guidance and charging management to improve traffic network efficiency. Regional traffic dynamics are modeled by the macroscopic fundamental diagram, which allows for the analysis of congestion at the system level. The framework jointly optimizes routes and charging decisions, and it also uses demand management to regulate external inflows into the network. A case study on a 16-region urban network demonstrates the effectiveness of the proposed approach.