Investigating comfort-oriented optimization of eco-driving cruising strategy: A driving simulator study

Eco-driving cruising strategies can effectively reduce energy demand and contribute to extend the range of full electric vehicles. However, the adoption of these strategies, involving alternating cycles of acceleration and deceleration as a replacement for constant-speed cruising, may potentially compromise the longitudinal comfort of the vehicle. In this paper, a method for a comfort-oriented optimization of eco-driving cruising strategies is proposed and validated by using a dynamic driving simulator. Dynamic driving simulators are rarely used for longitudinal comfort assessment. Therefore, a series of preliminary tests are conducted to compare the longitudinal comfort perceived on a driving simulator and on an actual vehicle. It turns out that, with appropriate cueing settings, the perceived longitudinal comfort remains consistent across both scenarios. Moreover, levels of jerk related to the perception of vehicle comfort at different velocities are identified to serve as reference in the eco-driving strategy design. On the basis of these results, an eco-driving cruising strategy is optimized within a two-step multi-objective framework based on GA by considering both energy consumption and longitudinal comfort. Subsequently, the Pareto points corresponding to the thresholds, representing the occupants’ comfort preferences, are evaluated at the driving simulator. These tests show that the comfort ranking of the solution is consistent between the optimization process and the subjective perceptions and confirm the reference jerk levels determined in the preliminary tests and the effectiveness of the optimization procedure, indicating dynamic driving simulators can be effectively employed to assess the longitudinal comfort of vehicles and to evaluate eco-driving cruising strategies.

Authors

Publication Details

Journal
Transportation Research Interdisciplinary Perspectives
Published
2025-11-01
DOI
https://doi.org/10.1016/j.trip.2025.101733
Primary Topic
Vehicle emissions and performance
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigating comfort-oriented optimization of eco-driving cruising strategy: A driving simulator study

Giorgio Previati, Haoxiang Xue, Gianpiero R M Mastinu, Federico Maria Ballo et al.
Transportation Research Interdisciplinary Perspectives
Vehicle emissions and performance
article

Investigating comfort-oriented optimization of eco-driving cruising strategy: A driving simulator study

Giorgio Previati, Haoxiang Xue, Gianpiero R M Mastinu, Federico Maria Ballo, Massimiliano Gobbi
article en

Abstract

Eco-driving cruising strategies can effectively reduce energy demand and contribute to extend the range of full electric vehicles. However, the adoption of these strategies, involving alternating cycles of acceleration and deceleration as a replacement for constant-speed cruising, may potentially compromise the longitudinal comfort of the vehicle. In this paper, a method for a comfort-oriented optimization of eco-driving cruising strategies is proposed and validated by using a dynamic driving simulator. Dynamic driving simulators are rarely used for longitudinal comfort assessment. Therefore, a series of preliminary tests are conducted to compare the longitudinal comfort perceived on a driving simulator and on an actual vehicle. It turns out that, with appropriate cueing settings, the perceived longitudinal comfort remains consistent across both scenarios. Moreover, levels of jerk related to the perception of vehicle comfort at different velocities are identified to serve as reference in the eco-driving strategy design. On the basis of these results, an eco-driving cruising strategy is optimized within a two-step multi-objective framework based on GA by considering both energy consumption and longitudinal comfort. Subsequently, the Pareto points corresponding to the thresholds, representing the occupants’ comfort preferences, are evaluated at the driving simulator. These tests show that the comfort ranking of the solution is consistent between the optimization process and the subjective perceptions and confirm the reference jerk levels determined in the preliminary tests and the effectiveness of the optimization procedure, indicating dynamic driving simulators can be effectively employed to assess the longitudinal comfort of vehicles and to evaluate eco-driving cruising strategies.

Transportation Research Interdisciplinary PerspectivesVol. 34
European Commission, China Scholarship Council
Openalex Percentile: Top 62%
Vehicle emissions and performance
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.