Civil Engineering Faculty Publications and Presentations

Preserving equity: multi-objective connected and automated vehicle (CAV) lane deployment in mixed traffic

Document Type

Article

Publication Date

4-25-2025

Abstract

This paper investigates deploying connected and automated vehicle (CAV) lanes in transportation networks with a focus on measuring and preserving equity among travelers. A new metric is proposed to characterize equity based on (1) generalized travel cost per unit origin-destination (OD) distance for travelers on each OD pair and using each vehicle type and (2) maximum deviation of the standardized unit generalized travel cost from system average. A bi-level bi-objective program is developed to simultaneously minimize system travel cost and inequity while deploying CAV lanes. A solution algorithm that combines non-dominated sorting genetic algorithm II and variable neighborhood search is designed. Through extensive numerical experiments, we find (1) inequity is more prominent when travel demand is high; (2) human-driven vehicle travelers become more disadvantageous with lower CAV price and higher CAV automation; and (3) subsidy is effective in mitigating inequity, but a fee for using CAV lanes is less promising.

Comments

Original published version available at https://doi.org/10.1080/03081060.2025.2495696

https://par.nsf.gov/biblio/10592415

This content will become publicly available on April 25, 2026

Publication Title

Transportation Planning and Technology

DOI

10.1080/03081060.2025.2495696

Link to Full Text

Share

COinS