A Microscopic Traffic Model Incorporating Vehicle Vibrations Due to Pavement Condition

Author:

Ali Faryal1,Khan Zawar Hussain1ORCID,Khattak Khurram Shehzad2ORCID,Gulliver Thomas Aaron1ORCID,Altamimi Ahmed B.3ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC V8W 2Y2, Canada

2. Department of Computer Systems Engineering, University of Engineering and Technology, Peshawar 25000, Pakistan

3. College of Computer Science and Engineering, University of Ha’il, Ha’il 55476, Saudi Arabia

Abstract

A microscopic traffic flow model is developed that incorporates vehicle vibrations due to pavement condition. The Intelligent Driver (ID) model employs a fixed exponent so traffic behavior is the same regardless of the road condition. Thus, it ignores the underlying physics. To address this limitation, the proposed model employs the Pavement Condition Index (PCI) in describing traffic behavior. The performance of both models is evaluated on a 3000 m circular road using the Euler numerical discretization technique. The results show that the performance of the proposed model varies with the pavement condition (PCI), as expected. Furthermore, the traffic flow increases with vehicle speed. The oscillations in speed and density with the proposed model decrease as the PCI increases, and are larger when the speed is higher. Consequently, the results with the proposed model align more closely with reality as they are based on the PCI, and so are a more accurate representation of traffic behavior.

Funder

Scientific Research Deanship at the University of Ha’il, Ha’il, Saudi Arabia

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

Reference36 articles.

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3. (2022, September 23). Road Traffic Injuries, World Health Organization. Available online: https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries.

4. (2022, September 23). Accidents Caused by Poor Road Quality and Conditions in DC, Gilman & Bedigian. Available online: https://www.gilmanbedigian.com/accidents-caused-by-poor-road-quality-and-conditions-in-dc/.

5. Ali, F., Khan, Z.H., Khan, F.A., Khattak, K.S., and Gulliver, T.A. (2022). A new driver model based on driver response. Appl. Sci., 12.

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