Stochastic simulation of an adaptive cruise control (ACC) system in electric vehicles to i

A simulation study from 2026 by Jingan Peng compares adaptive cruise control (ACC) systems in electric and internal combustion engine vehicles. The research uses a high-fidelity, validated ACC model to evaluate safety, consistency, and comfort across extreme deceleration and stop-and-go traffic scenarios. Results indicate the ACC-EV system showed significantly higher performance across all measures compared to the ACC-ICEV system.

Use Cases

• Compare ACC system performance between vehicle types based on simulated safety, consistency, and comfort measures.
• Analyze driver stress and cognitive effort implications based on ACC performance differences described in the study.
• Validate high-fidelity ACC simulation models using the described extreme deceleration and stop-and-go traffic scenarios.

Strengths

• Simulation model is described as high-fidelity and validated.
• Statistical significance of results is reported with p < 0.001 for all measures.
• Study compares two distinct vehicle systems (ACC-EV and ACC-ICEV) across two different driving scenarios.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 232.7 KB, indicating limited scope.

Provenance

Source

figshare, author Jingan Peng

Collection Method

Stochastic simulation using a high-fidelity, validated ACC model.

Freshness

Last updated 2026-05-27 14:17:06; freshness should be verified.