A Microscopic Heterogeneous Traffic Flow Model Considering Distance Headway

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 th...

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Main Authors: Faryal Ali, Zawar Hussain Khan, Khurram Shehzad Khattak, Thomas Aaron Gulliver, Akhtar Nawaz Khan
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/1/184
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author Faryal Ali
Zawar Hussain Khan
Khurram Shehzad Khattak
Thomas Aaron Gulliver
Akhtar Nawaz Khan
author_facet Faryal Ali
Zawar Hussain Khan
Khurram Shehzad Khattak
Thomas Aaron Gulliver
Akhtar Nawaz Khan
author_sort Faryal Ali
collection DOAJ
description 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.
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spelling doaj.art-8402cff13e234128ac254b104684827e2023-11-30T22:55:30ZengMDPI AGMathematics2227-73902022-12-0111118410.3390/math11010184A Microscopic Heterogeneous Traffic Flow Model Considering Distance HeadwayFaryal Ali0Zawar Hussain Khan1Khurram Shehzad Khattak2Thomas Aaron Gulliver3Akhtar Nawaz Khan4Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC V8W 2Y2, CanadaDepartment of Electrical Engineering, Jalozai Campus, University of Engineering and Technology Peshawar, Jalozai 24240, PakistanDepartment of Computer System Engineering, University of Engineering and Technology, Peshawar 25000, PakistanDepartment of Electrical and Computer Engineering, University of Victoria, Victoria, BC V8W 2Y2, CanadaDepartment of Electrical Engineering, Jalozai Campus, University of Engineering and Technology Peshawar, Jalozai 24240, PakistanThe 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.https://www.mdpi.com/2227-7390/11/1/184intelligent driver modelacceleration exponentheterogeneous flowforward and lateral distance headway
spellingShingle Faryal Ali
Zawar Hussain Khan
Khurram Shehzad Khattak
Thomas Aaron Gulliver
Akhtar Nawaz Khan
A Microscopic Heterogeneous Traffic Flow Model Considering Distance Headway
Mathematics
intelligent driver model
acceleration exponent
heterogeneous flow
forward and lateral distance headway
title A Microscopic Heterogeneous Traffic Flow Model Considering Distance Headway
title_full A Microscopic Heterogeneous Traffic Flow Model Considering Distance Headway
title_fullStr A Microscopic Heterogeneous Traffic Flow Model Considering Distance Headway
title_full_unstemmed A Microscopic Heterogeneous Traffic Flow Model Considering Distance Headway
title_short A Microscopic Heterogeneous Traffic Flow Model Considering Distance Headway
title_sort microscopic heterogeneous traffic flow model considering distance headway
topic intelligent driver model
acceleration exponent
heterogeneous flow
forward and lateral distance headway
url https://www.mdpi.com/2227-7390/11/1/184
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