Does the Intelligent Driver Model Adequately Represent Human Drivers?

Zeyu Mu, Fatemeh Jahedinia, B. Park

2023

Abstract

The Intelligent Driver Model (IDM) is one of the widely used car-following models to represent human drivers in mixed traffic simulations. However, the standard IDM performs too well in energy efficiency and comfort (acceleration) compared with real-world human drivers. In addition, many studies assessed the performance of automated vehicles interacting with human-driven vehicles (HVs) in mixed traffic where IDM serves as HVs based on the assumption that the IDM represents an intelligent human driver that performs not better than automated vehicles (AVs). When a commercially available control system of AVs, Adaptive Cruise Control (ACC), is compared with the standard IDM, it is found that the standard IDM generally outperforms ACC in fuel efficiency and comfort, which is not logical in an evaluation of any advanced control logic with mixed traffic. To ensure the IDM reasonably mimics human drivers, a dynamic safe time headway concept is proposed and evaluated. A real-world NGSIM data set is utilized as the human drivers for simulation-based comparisons. The results indicate that the performance of the IDM with dynamic time headway is much closer to human drivers and worse than the ACC system as expected.

Paper Citation

in Harvard Style

Mu Z., Jahedinia F. and Park B. (2023). Does the Intelligent Driver Model Adequately Represent Human Drivers?. In Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-652-1, SciTePress, pages 113-121. DOI: 10.5220/0011996800003479

in Bibtex Style

@conference{vehits23,
author={Zeyu Mu and Fatemeh Jahedinia and B. Park},
title={Does the Intelligent Driver Model Adequately Represent Human Drivers?},
booktitle={Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2023},
pages={113-121},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011996800003479},
isbn={978-989-758-652-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Does the Intelligent Driver Model Adequately Represent Human Drivers?
SN - 978-989-758-652-1
AU - Mu Z.
AU - Jahedinia F.
AU - Park B.
PY - 2023
SP - 113
EP - 121
DO - 10.5220/0011996800003479
PB - SciTePress