EURO 2025 Leeds
Abstract Submission

815. How CAVs Shape Network Performance and Emissions

Invited abstract in session MD-57: Smart mobility: Exploring the Potential of Connected and Autonomous Vehicles, stream Transportation.

Monday, 14:30-16:00
Room: Liberty 1.12

Authors (first author is the speaker)

1. Eloisa Macedo
Department of Mechanical Engineering, University of Aveiro
2. Gonçalo Chaves
DETI/DEM, University of Aveiro
3. Jorge Bandeira
University of Aveiro

Abstract

The study explores the synergistic effects of Connected and Automated Vehicles (CAVs) on urban network performance in a mixed-traffic environment with Conventional Vehicles (CVs). Focusing on a complex urban area in Aveiro, Portugal, which includes a university campus, kindergarten, health service, and a roundabout, we simulate introducing CAVs in the network. The impact of varying CAV driving behaviours on CVs and overall network performance is evaluated. For the baseline scenario, real-world traffic data was collected from probe vehicles. The microscopic traffic simulation model PTV VISSIM will be subject to many different interactions with Python code designed to be capable of launching different runs with different specificities in the car-following dynamics and operations. Scenarios included a baseline and mixed traffic with 30% CAV penetration, considering "cautious" and "all-knowing" CAV driving behaviours. Besides speed and acceleration profiles, we evaluate vehicle-specific power, operational mode, estimate pollutant emissions (CO2 and NOx), compute safety distances, and classify traffic flow characteristics. Findings show CAV integration, particularly "cautious", influences CV operations, leading to reduced emissions for light passenger vehicles in some road segments but inducing higher emissions due to congestion in others. Specific CAV behaviours contribute to smoother traffic flow, potentially mitigating congestion and improving safety for vulnerable road users.

Keywords

Status: accepted

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