Modeling Sustainable Traffic Behavior: Avoiding Congestion at a Stationary Bottleneck

Imran Badshah; Zawar H. Khan; T. Aaron Gulliver; Khurram S. Khattak; Syed Saad

doi:10.28991/CEJ-2022-08-11-02

Authors

Imran Badshah
imranbadshah07@gmail.com
National Institute of Urban Infrastructure Planning, University of Engineering & Technology, Peshawar, 25000,, Pakistan
Zawar H. Khan Department of Electrical Engineering, University of Engineering and Technology, Peshawar,, Pakistan
T. Aaron Gulliver Department of Electrical and Computer Engineering, University of Victoria, PO Box 1700, STN CSC, Victoria, BC,, Canada
Khurram S. Khattak Department of Computer System Engineering, University of Engineering and Technology, Peshawar,, Pakistan
Syed Saad Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar,, Malaysia

Vol. 8 No. 11 (2022): November

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Sustainable traffic behaviour is increasing in importance as traffic volume rises due to population growth. In this paper, a model for traffic flow at a stationary bottleneck is developed to determine the parameters that cause congestion. Towards this goal, traffic density, speed, and delay were acquired during peak and off-peak periods in the morning and afternoon at a stationary bottleneck in Peshawar, KPK, Pakistan. The morning and afternoon peak periods have high densities, low speeds, and considerable delays. Regression models are developed using this data. These results indicate that there is a linear relationship between density and time at the stationary bottleneck and a negative linear relationship between density and speed. Thus, an increase in density increases the time delay and reduces the speed. I comprehensive traffic delay model is characterized by a stationary bottleneck. The Kolmogorov-Smirnov (KS) test and P-values were used to identify the best-fit distribution for speed and density. The binomial and generalized extreme values are considered the best fits for density and speed. The results presented can be used to develop accurate simulation models for stationary bottlenecks to reduce congestion.

Doi: 10.28991/CEJ-2022-08-11-02

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Badshah, I., Khan, Z. H., Gulliver, T. A., Khattak, K. S., & Saad, S. (2022). Modeling Sustainable Traffic Behavior: Avoiding Congestion at a Stationary Bottleneck. Civil Engineering Journal, 8(11), 2378–2390. https://doi.org/10.28991/CEJ-2022-08-11-02

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Publication Start Year:	2015
JCR 2023 Impact Factor (IF):	4.3
JIF QUARTILE:	Q1
SJR 2023 Quartile:	Q1
Acceptance Rate:	27%
Review Speed (Average):	76 days
Issue Per Year:	12
Number of Volumes:	10
Number of Issues:	107
Number of Articles:	1552
Number of Reviewers:	3417
Number of Contributors:	3604
Contributing Countries:	86
No. of WoS Citations:	7986
WoS h-index:	34
Scopus CiteScore:	7.0
No. of Google Citations:	17324
Google h-index:	47
Google i10-index:	393
Abstract Views:	5,819,908
PDF Download:	3,790,637

Modeling Sustainable Traffic Behavior: Avoiding Congestion at a Stationary Bottleneck

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