Performance Analysis of Optimally Coordinated Connected and Automated Vehicles in a Mixed Traffic Environment

Alejandra Valencia, A. M. Ishtiaque Mahbub, Andreas A. Malikopoulos

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

Trajectory planning of connected and automated vehicles (CAVs) poses significant challenges in a mixed traffic environment due to the presence of human-driven vehicles (HDVs). In this paper, we apply a framework that allows coordination of CAVs and HDVs traveling through a traffic corridor consisting of an on-ramp merging, a speed reduction zone, and a roundabout. We study the impact of different penetration rates of CAVs and traffic volumes on the efficiency of the corridor. We provide extensive simulation results and report on the benefits in terms of total travel time and fuel economy.

Idioma originalInglés
Título de la publicación alojada2022 30th Mediterranean Conference on Control and Automation, MED 2022
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1053-1058
Número de páginas6
ISBN (versión digital)9781665406734
DOI
EstadoPublicada - 2022
Publicado de forma externa
Evento30th Mediterranean Conference on Control and Automation, MED 2022 - Athens, Grecia
Duración: 28 jun. 20221 jul. 2022

Serie de la publicación

Nombre2022 30th Mediterranean Conference on Control and Automation, MED 2022

Conferencia

Conferencia30th Mediterranean Conference on Control and Automation, MED 2022
País/TerritorioGrecia
CiudadAthens
Período28/06/221/07/22

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