A microscopic traffic flow model characterization for weather conditions

Date

2022

Authors

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

Journal Title

Journal ISSN

Volume Title

Publisher

Applied Sciences

Abstract

Road surfaces are affected by rain, snow, and ice, which influence traffic flow. In this paper, a microscopic traffic flow model based on weather conditions is proposed. This model characterizes traffic based on the weather severity index. The Intelligent Driver (ID) model characterizes traffic behavior based on a constant acceleration exponent resulting in similar traffic behavior regardless of the conditions, which is unrealistic. The ID and proposed models are evaluated over a circular road of length 800m. The results obtained indicate that the proposed model characterizes the velocity and density better than the ID model. Further, variations in the traffic flow with the proposed model are smaller during adverse weather, as expected. It is also shown that traffic is stable with the proposed model, even during adverse weather.

Description

Keywords

microscopic traffic flow, adverse weather, acceleration exponent, intelligent driver model, vehicle trajectories, traffic stability

Citation

Ali, F., Khan, Z., Khattak, K. S., & Gulliver, T. A. (2022). A microscopic traffic flow model characterization for weather conditions. Applied Sciences, 12(24), 12981. https://doi.org/10.3390/app122412981