Modeling Sustainable Traffic Behavior: Avoiding Congestion at a Stationary Bottleneck

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

Civil Engineering Journal
Vol 8, No 11 (2022): November

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 Full Text: PDF