A Microscopic Heterogeneous Traffic Flow Model Considering Distance Headway

Date

2022

Authors

Ali, Faryal
Khan, Zawar H.
Khattak, Khurram S.
Gulliver, Thomas A.
Khan, Akhtar N.

Journal Title

Journal ISSN

Volume Title

Publisher

Mathematics

Abstract

The intelligent driver (ID) model characterizes traffic behavior with a constant acceleration exponent and does not follow traffic physics. This results in unrealistic traffic behavior. In this paper, a new microscopic heterogeneous traffic flow model is proposed which improves the performance of the ID model. The forward and lateral distance headways are used to characterize traffic behavior. The stability of the ID and proposed models is examined over a 1000 m circular road with a traffic disturbance after 30 s. The results obtained show that the proposed model is more stable than the ID model. The performance of the proposed and ID models is evaluated over an 1800 m circular road for 150 s with a platoon of 51 vehicles. Results are presented which indicate that traffic evolves realistically with the proposed model. This is because it is based on the lateral distance headway.

Description

Keywords

intelligent driver model, acceleration exponent, heterogeneous flow, forward and lateral distance headway

Citation

Ali, F., Khan, Z., Khattak, K. S., Gulliver, T. A., & Khan, A. N. (2022). A microscopic heterogeneous traffic flow model considering distance headway. Mathematics, 11(1), 184. https://doi.org/10.3390/math11010184