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Analysis of the Determinants of Service Headway Variability at Tollbooths Under Mixed Traffic Scenario in Emerging Countries


Affiliations
1 Department of Civil Engineering, NIT Campus P. O., Kozhikode 673 601, India
2 Department of Civil Engineering, Sardar Vallabhbhai National Institute of Technology, Surat 395 007, India
 

This study makes an effort to model service-headway distribution at manually operated toll plazas (MTC) under mixed traffic conditions. To identify the most suitable probability distribution among the selected candidate distributions, Kolmogorov–Smirnov, Ander-son–Darling, and chi-squared tests were performed. It was found that the generalized extreme value (GEV) was the most suited distribution for modelling service-headway distribution at tollbooths. The results show that GEV distribution parameters can capture possi-ble variations in service headway at tollbooths under MTC reasonably well. The study results can also be used for capacity and level-of-service estimation and the development of warrants for converting MTC to electronic lanes.

Keywords

Generalized Extreme Value, Mixed Traffic Conditions, Probability Distribution, Service Headway, Shape Factor, Tollbooth.
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  • Analysis of the Determinants of Service Headway Variability at Tollbooths Under Mixed Traffic Scenario in Emerging Countries

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Authors

Yogeshwar V. Navandar
Department of Civil Engineering, NIT Campus P. O., Kozhikode 673 601, India
Chintaman Santosh Bari
Department of Civil Engineering, Sardar Vallabhbhai National Institute of Technology, Surat 395 007, India
Ashish Dhamaniya
Department of Civil Engineering, Sardar Vallabhbhai National Institute of Technology, Surat 395 007, India
Shriniwas S. Arkatkar
Department of Civil Engineering, Sardar Vallabhbhai National Institute of Technology, Surat 395 007, India
D. A. Patel
Department of Civil Engineering, Sardar Vallabhbhai National Institute of Technology, Surat 395 007, India

Abstract


This study makes an effort to model service-headway distribution at manually operated toll plazas (MTC) under mixed traffic conditions. To identify the most suitable probability distribution among the selected candidate distributions, Kolmogorov–Smirnov, Ander-son–Darling, and chi-squared tests were performed. It was found that the generalized extreme value (GEV) was the most suited distribution for modelling service-headway distribution at tollbooths. The results show that GEV distribution parameters can capture possi-ble variations in service headway at tollbooths under MTC reasonably well. The study results can also be used for capacity and level-of-service estimation and the development of warrants for converting MTC to electronic lanes.

Keywords


Generalized Extreme Value, Mixed Traffic Conditions, Probability Distribution, Service Headway, Shape Factor, Tollbooth.

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DOI: https://doi.org/10.18520/cs%2Fv121%2Fi1%2F148-160