Leveraging Traffic-in-the-Loop Simulations to Assess the Impact of Traffic on Vehicle Energy Consumption

<div class="section abstract"><div class="htmlview paragraph">The advancements in vehicle connectivity and the increased level of driving automation can be leveraged for the development of Advanced Driver Assistance Systems (ADAS) that improve driver safety and comfort while optimizing the energy consumption of the vehicle. In the development phase of energy-efficient ADAS, modeling and simulation are used to assess the potential benefits of these technologies on energy consumption. However, there is a lack of standardized simulation or test frameworks to quantify the benefits. Moreover, the driving scenario and the traffic conditions are often not explicitly modeled when simulating energy-efficient ADAS, even though they have a major impact on the attainable energy benefits.</div><div class="htmlview paragraph">This paper presents the development and implementation of a closed-loop traffic-in-the-loop simulator designed to evaluate the performance of vehicles under realistic traffic conditions. The primary objective is to qualitatively assess how varying traffic conditions influence vehicle energy consumption along a predefined route, highlighting the importance of considering traffic during the development of energy-efficient vehicle controllers. By integrating a dynamic micro-traffic model from the open-source software SUMO with a high-fidelity vehicle model in Simulink, the traffic-in-the-loop simulator provides a comprehensive platform for analyzing the impact of traffic on vehicle efficiency. The micro-traffic model is controlled online through a MATLAB script leveraging TraCI, a TCP based client/server architecture that allows to retrieve values of simulated objects in SUMO and to manipulate their behavior. The findings demonstrate the significant impact of traffic conditions on vehicle energy consumption, highlighting the necessity of simulating traffic environments to properly evaluate the potential benefits of advanced vehicle technologies.</div></div>

Authors

Institutions

Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2025-03-31
DOI
https://doi.org/10.4271/2025-01-8054
Citations
1
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
1.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Leveraging Traffic-in-the-Loop Simulations to Assess the Impact of Traffic on Vehicle Energy Consumption

Qadeer Ahmed, Elia Grano, Manfredi Villani, Massimiliana Carello
1 citations
SAE technical papers on CD-ROM/SAE technical paper series
Traffic control and management
1.21
article

Leveraging Traffic-in-the-Loop Simulations to Assess the Impact of Traffic on Vehicle Energy Consumption

Qadeer Ahmed, Elia Grano, Manfredi Villani, Massimiliana Carello
article en
1 citations

Abstract

<div class="section abstract"><div class="htmlview paragraph">The advancements in vehicle connectivity and the increased level of driving automation can be leveraged for the development of Advanced Driver Assistance Systems (ADAS) that improve driver safety and comfort while optimizing the energy consumption of the vehicle. In the development phase of energy-efficient ADAS, modeling and simulation are used to assess the potential benefits of these technologies on energy consumption. However, there is a lack of standardized simulation or test frameworks to quantify the benefits. Moreover, the driving scenario and the traffic conditions are often not explicitly modeled when simulating energy-efficient ADAS, even though they have a major impact on the attainable energy benefits.</div><div class="htmlview paragraph">This paper presents the development and implementation of a closed-loop traffic-in-the-loop simulator designed to evaluate the performance of vehicles under realistic traffic conditions. The primary objective is to qualitatively assess how varying traffic conditions influence vehicle energy consumption along a predefined route, highlighting the importance of considering traffic during the development of energy-efficient vehicle controllers. By integrating a dynamic micro-traffic model from the open-source software SUMO with a high-fidelity vehicle model in Simulink, the traffic-in-the-loop simulator provides a comprehensive platform for analyzing the impact of traffic on vehicle efficiency. The micro-traffic model is controlled online through a MATLAB script leveraging TraCI, a TCP based client/server architecture that allows to retrieve values of simulated objects in SUMO and to manipulate their behavior. The findings demonstrate the significant impact of traffic conditions on vehicle energy consumption, highlighting the necessity of simulating traffic environments to properly evaluate the potential benefits of advanced vehicle technologies.</div></div>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
Politecnico di Torino (IT), The Ohio State University (US)
Openalex Percentile: Top 23%
Traffic control and management
1.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.