Modelling of Driver’s Gap Acceptance for Evaluation of Traffic Flow Characteristics at Unsignalized Intersection in Urban Area, Ethiopia

Fikedu Rage Faye

doi:doi:10.11648/j.ajtte.20200505.12

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Modelling of Driver’s Gap Acceptance for Evaluation of Traffic Flow Characteristics at Unsignalized Intersection in Urban Area, Ethiopia

Fikedu Rage Faye

Published in American Journal of Traffic and Transportation Engineering (Volume 5, Issue 5)

Received: 3 October 2020 Accepted: 19 October 2020 Published: 31 December 2020

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Abstract

Introduction: Studying microscopic traffic flow characteristics has vital role in reduction of traffic problems. Gap acceptance and waiting time are traffic characteristics that are used in capacity, delay and level of service at unsignalized intersection. A lot of studies related to gap acceptance and waiting time has been done in developed countries under homogeneous traffic and road conditions. Objectives: This study is aimed to insight gap acceptance and waiting time behavior of merging or crossing vehicles in urban intersection under heterogeneous traffic condition and weak lane discipline in developing country like Ethiopia. Methods: In this paper three unsignalized intersection in Adama city has been selected on the basis of traffic volume and importance of the intersection. The primary data that were used for this study were traffic volume, speed, headway, waiting time, geometry of road, gap accepted and rejected. By using digital Camera, videos data were recorded; later quantitative data were extracted from videos. Two Statistical Packages that were used in analysis of this study. Minitab 19 was used for developing regression models of waiting time and gap acceptance for two maneuver types namely traffic turning to left and turning right from minor road. Result: Dichotomous generalized linear regression model (logit model) has been used to predict gap acceptance probability and validated by Hosmer-Lemeshow testing techniques to identify the goodness of model. The waiting time of drivers to accept and reject available gaps for three selected intersections were about 26sec, 24sec and 20sec. From the developed nonlinear model traffic turning to left moving with average speed 30kmph, average headway of 10sec and minor road traffic volume 2000PCu/Hr, increasing 25% major road traffic volume makes to double waiting time on minor road. Increasing major road traffic volume by 50% makes to quadruple waiting time.

Published in	American Journal of Traffic and Transportation Engineering (Volume 5, Issue 5)
DOI	10.11648/j.ajtte.20200505.12
Page(s)	57-64
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Gap Acceptance, Headway Distribution, Logit Model, Maneuver Type, Waiting Time

References

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[3]	Al-Obaedi, Jalal. (2016) Estimation of Passenger Car Equivalents for Basic Freeway Sections at Different Traffic Conditions. World Journal of Engineering and Technology. Vol 4. P155.
[4]	Bartin et al., O. (2017). Simulation of Vehicle ’ Gap Acceptance Decision Using Reinforcement Learning. Uludağ University Journal of The Faculty of Engineering, 161-178.
[5]	Doddapaneni et al., A. (2017). Multi Vehicle-Type Right Turning Gap Acceptance and Capacity Analysis at Uncontrolled Urban Intersections. Periodica Polytechnica Transportation Engineering, 1-9.
[6]	Dutta, M. M. (2018). Gap acceptance behavior of drivers at uncontrolled T-intersections under mixed traffic conditions. Journal of Modern Transportation, 119-132.
[7]	Farah et al., H. (2009). A passing Gap Acceptance model for two lane rural highway. Transportmetrica, 159-172.
[8]	Gazzari et al., A. (2013). "Gap Acceptance Parameters for HCM 2010. Intersections Control and Safety, 13-14.
[9]	Montgomery, D. C. (2003). Applied Statistics and Probability for Engineers. Arizona: Library of Congress Cataloging.
[10]	O. A. Osman, S. Ishak, and M. Ye,(2017) “Crash Risk Aanlysis of Distracted Driving Behavior: Inluence of Secondary Task Engagement and Driver Characteristics,” in Proceedings of the 5th Annual International Conference on Architecture and Civil Engineering pp. 42–45.
[11]	Rashmi SM, & Srikanth R. (2017). Study of traffic flow characteristics and remedial measures to overcome congestion. International research journal Engineering and technology, 1857-1860.
[12]	Rupali, R. (2018). Headway Distrubution model of two lane roads under mixed Traffic conditions. European Transport Research Review, 1-12.
[13]	Sangole, J. P., Patil, G. R. (2014). Adaptive neuro-fuzzy interface system for gap acceptance behavior of right-turning vehicles at partially controlled T-intersections. Journal of Modern Transportation. 22 (4), pp. 235-243.
[14]	Shah, P. M., & Gupta, N. (2017). Analysis of Speed Parameters of Mixed Traffic Flow on the Sections of Arterial Streets. Indian Journal of Science and Technolog, 1-7.
[15]	Singh B, Tripta G. Study of traffic volume and level of service of Panjab University, Chandigarh International Journal of Engineering Research and Applications. 2015 Jul; 5 (7): 9–14.
[16]	Tian, Z. (1999). Implementing the maximum likelihood methodology to measure a driver's critical gap. Transportation Research Part A 33, 187-197.

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Fikedu Rage Faye. (2020). Modelling of Driver’s Gap Acceptance for Evaluation of Traffic Flow Characteristics at Unsignalized Intersection in Urban Area, Ethiopia. American Journal of Traffic and Transportation Engineering, 5(5), 57-64. https://doi.org/10.11648/j.ajtte.20200505.12

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Fikedu Rage Faye. Modelling of Driver’s Gap Acceptance for Evaluation of Traffic Flow Characteristics at Unsignalized Intersection in Urban Area, Ethiopia. Am. J. Traffic Transp. Eng. 2020, 5(5), 57-64. doi: 10.11648/j.ajtte.20200505.12

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AMA Style

Fikedu Rage Faye. Modelling of Driver’s Gap Acceptance for Evaluation of Traffic Flow Characteristics at Unsignalized Intersection in Urban Area, Ethiopia. Am J Traffic Transp Eng. 2020;5(5):57-64. doi: 10.11648/j.ajtte.20200505.12

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@article{10.11648/j.ajtte.20200505.12,
  author = {Fikedu Rage Faye},
  title = {Modelling of Driver’s Gap Acceptance for Evaluation of Traffic Flow Characteristics at Unsignalized Intersection in Urban Area, Ethiopia},
  journal = {American Journal of Traffic and Transportation Engineering},
  volume = {5},
  number = {5},
  pages = {57-64},
  doi = {10.11648/j.ajtte.20200505.12},
  url = {https://doi.org/10.11648/j.ajtte.20200505.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtte.20200505.12},
  abstract = {Introduction: Studying microscopic traffic flow characteristics has vital role in reduction of traffic problems. Gap acceptance and waiting time are traffic characteristics that are used in capacity, delay and level of service at unsignalized intersection. A lot of studies related to gap acceptance and waiting time has been done in developed countries under homogeneous traffic and road conditions. Objectives: This study is aimed to insight gap acceptance and waiting time behavior of merging or crossing vehicles in urban intersection under heterogeneous traffic condition and weak lane discipline in developing country like Ethiopia. Methods: In this paper three unsignalized intersection in Adama city has been selected on the basis of traffic volume and importance of the intersection. The primary data that were used for this study were traffic volume, speed, headway, waiting time, geometry of road, gap accepted and rejected. By using digital Camera, videos data were recorded; later quantitative data were extracted from videos. Two Statistical Packages that were used in analysis of this study. Minitab 19 was used for developing regression models of waiting time and gap acceptance for two maneuver types namely traffic turning to left and turning right from minor road. Result: Dichotomous generalized linear regression model (logit model) has been used to predict gap acceptance probability and validated by Hosmer-Lemeshow testing techniques to identify the goodness of model. The waiting time of drivers to accept and reject available gaps for three selected intersections were about 26sec, 24sec and 20sec. From the developed nonlinear model traffic turning to left moving with average speed 30kmph, average headway of 10sec and minor road traffic volume 2000PCu/Hr, increasing 25% major road traffic volume makes to double waiting time on minor road. Increasing major road traffic volume by 50% makes to quadruple waiting time.},
 year = {2020}
}

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TY - JOUR
T1 - Modelling of Driver’s Gap Acceptance for Evaluation of Traffic Flow Characteristics at Unsignalized Intersection in Urban Area, Ethiopia
AU - Fikedu Rage Faye
Y1 - 2020/12/31
PY - 2020
N1 - https://doi.org/10.11648/j.ajtte.20200505.12
DO - 10.11648/j.ajtte.20200505.12
T2 - American Journal of Traffic and Transportation Engineering
JF - American Journal of Traffic and Transportation Engineering
JO - American Journal of Traffic and Transportation Engineering
SP - 57
EP - 64
PB - Science Publishing Group
SN - 2578-8604
UR - https://doi.org/10.11648/j.ajtte.20200505.12
AB - Introduction: Studying microscopic traffic flow characteristics has vital role in reduction of traffic problems. Gap acceptance and waiting time are traffic characteristics that are used in capacity, delay and level of service at unsignalized intersection. A lot of studies related to gap acceptance and waiting time has been done in developed countries under homogeneous traffic and road conditions. Objectives: This study is aimed to insight gap acceptance and waiting time behavior of merging or crossing vehicles in urban intersection under heterogeneous traffic condition and weak lane discipline in developing country like Ethiopia. Methods: In this paper three unsignalized intersection in Adama city has been selected on the basis of traffic volume and importance of the intersection. The primary data that were used for this study were traffic volume, speed, headway, waiting time, geometry of road, gap accepted and rejected. By using digital Camera, videos data were recorded; later quantitative data were extracted from videos. Two Statistical Packages that were used in analysis of this study. Minitab 19 was used for developing regression models of waiting time and gap acceptance for two maneuver types namely traffic turning to left and turning right from minor road. Result: Dichotomous generalized linear regression model (logit model) has been used to predict gap acceptance probability and validated by Hosmer-Lemeshow testing techniques to identify the goodness of model. The waiting time of drivers to accept and reject available gaps for three selected intersections were about 26sec, 24sec and 20sec. From the developed nonlinear model traffic turning to left moving with average speed 30kmph, average headway of 10sec and minor road traffic volume 2000PCu/Hr, increasing 25% major road traffic volume makes to double waiting time on minor road. Increasing major road traffic volume by 50% makes to quadruple waiting time.
VL - 5
IS - 5
ER -

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Fikedu Rage Faye

Department of Civil Engineering, Mettu University, Mettu, Ethiopia

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APA Style

Fikedu Rage Faye. (2020). Modelling of Driver’s Gap Acceptance for Evaluation of Traffic Flow Characteristics at Unsignalized Intersection in Urban Area, Ethiopia. American Journal of Traffic and Transportation Engineering, 5(5), 57-64. https://doi.org/10.11648/j.ajtte.20200505.12

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ACS Style

Fikedu Rage Faye. Modelling of Driver’s Gap Acceptance for Evaluation of Traffic Flow Characteristics at Unsignalized Intersection in Urban Area, Ethiopia. Am. J. Traffic Transp. Eng. 2020, 5(5), 57-64. doi: 10.11648/j.ajtte.20200505.12

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AMA Style

Fikedu Rage Faye. Modelling of Driver’s Gap Acceptance for Evaluation of Traffic Flow Characteristics at Unsignalized Intersection in Urban Area, Ethiopia. Am J Traffic Transp Eng. 2020;5(5):57-64. doi: 10.11648/j.ajtte.20200505.12

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@article{10.11648/j.ajtte.20200505.12,
  author = {Fikedu Rage Faye},
  title = {Modelling of Driver’s Gap Acceptance for Evaluation of Traffic Flow Characteristics at Unsignalized Intersection in Urban Area, Ethiopia},
  journal = {American Journal of Traffic and Transportation Engineering},
  volume = {5},
  number = {5},
  pages = {57-64},
  doi = {10.11648/j.ajtte.20200505.12},
  url = {https://doi.org/10.11648/j.ajtte.20200505.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtte.20200505.12},
  abstract = {Introduction: Studying microscopic traffic flow characteristics has vital role in reduction of traffic problems. Gap acceptance and waiting time are traffic characteristics that are used in capacity, delay and level of service at unsignalized intersection. A lot of studies related to gap acceptance and waiting time has been done in developed countries under homogeneous traffic and road conditions. Objectives: This study is aimed to insight gap acceptance and waiting time behavior of merging or crossing vehicles in urban intersection under heterogeneous traffic condition and weak lane discipline in developing country like Ethiopia. Methods: In this paper three unsignalized intersection in Adama city has been selected on the basis of traffic volume and importance of the intersection. The primary data that were used for this study were traffic volume, speed, headway, waiting time, geometry of road, gap accepted and rejected. By using digital Camera, videos data were recorded; later quantitative data were extracted from videos. Two Statistical Packages that were used in analysis of this study. Minitab 19 was used for developing regression models of waiting time and gap acceptance for two maneuver types namely traffic turning to left and turning right from minor road. Result: Dichotomous generalized linear regression model (logit model) has been used to predict gap acceptance probability and validated by Hosmer-Lemeshow testing techniques to identify the goodness of model. The waiting time of drivers to accept and reject available gaps for three selected intersections were about 26sec, 24sec and 20sec. From the developed nonlinear model traffic turning to left moving with average speed 30kmph, average headway of 10sec and minor road traffic volume 2000PCu/Hr, increasing 25% major road traffic volume makes to double waiting time on minor road. Increasing major road traffic volume by 50% makes to quadruple waiting time.},
 year = {2020}
}

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