An Integrated Fuzzy Analytic Hierarchy Process (AHP) Model for Studying Significant Factors Associated with Frequent Lane Changing
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Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary
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Department of Civil Engineering, Comsats University Islamabad, Wah Campus, Islamabad 45550, Pakistan
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Interdisciplinary Research Center of Smart Mobility and Logistics (IRC-SML), King Fahd University of Petroleum & Minerals, KFUPM, Dhahran 31261, Saudi Arabia
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Center of Excellence in Trauma and Accidents, King Abdulaziz University, Jeddah 21589, Saudi Arabia
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Department of Surgery, Faculty of Medicine, King Abdulaziz University, Jeddah 21589, Saudi Arabia
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Department of Civil Engineering, College of Engineering, Qassim University, Buraydah 51452, Saudi Arabia
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Development Services, Lee County Government, Fort Myers, FL 33902, USA
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Authors to whom correspondence should be addressed.
Academic Editors: Dimitri Volchenkov and Adam Lipowski
Entropy 2022, 24(3), 367; https://doi.org/10.3390/e24030367
Received: 7 December 2021
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Revised: 31 December 2021
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Accepted: 27 January 2022
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Published: 4 March 2022
(This article belongs to the Special Issue Mathematical Analysis of Urban Spatial Networks)
Frequent lane changes cause serious traffic safety concerns, which involve fatalities and serious injuries. This phenomenon is affected by several significant factors related to road safety. The detection and classification of significant factors affecting lane changing could help reduce frequent lane changing risk. The principal objective of this research is to estimate and prioritize the nominated crucial criteria and sub-criteria based on participants’ answers on a designated questionnaire survey. In doing so, this paper constructs a hierarchical lane-change model based on the concept of the analytic hierarchy process (AHP) with two levels of the most concerning attributes. Accordingly, the fuzzy analytic hierarchy process (FAHP) procedure was applied utilizing fuzzy scale to evaluate precisely the most influential factors affecting lane changing, which will decrease uncertainty in the evaluation process. Based on the final measured weights for level 1, FAHP model estimation results revealed that the most influential variable affecting lane-changing is ‘traffic characteristics’. In contrast, compared to other specified factors, ‘light conditions’ was found to be the least critical factor related to driver lane-change maneuvers. For level 2, the FAHP model results showed ‘traffic volume’ as the most critical factor influencing the lane changes operations, followed by ‘speed’. The objectivity of the model was supported by sensitivity analyses that examined a range for weights’ values and those corresponding to alternative values. Based on the evaluated results, stakeholders can determine strategic policy by considering and placing more emphasis on the highlighted risk factors associated with lane changing to improve road safety. In conclusion, the finding provides the usefulness of the fuzzy analytic hierarchy process to review lane-changing risks for road safety.
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Keywords:
frequent lane changing; highway safety; lane change factorial model; fuzzy analytic hierarchy process; multicriteria decision making
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MDPI and ACS Style
Moslem, S.; Farooq, D.; Jamal, A.; Almarhabi, Y.; Almoshaogeh, M.; Butt, F.M.; Tufail, R.F. An Integrated Fuzzy Analytic Hierarchy Process (AHP) Model for Studying Significant Factors Associated with Frequent Lane Changing. Entropy 2022, 24, 367. https://doi.org/10.3390/e24030367
AMA Style
Moslem S, Farooq D, Jamal A, Almarhabi Y, Almoshaogeh M, Butt FM, Tufail RF. An Integrated Fuzzy Analytic Hierarchy Process (AHP) Model for Studying Significant Factors Associated with Frequent Lane Changing. Entropy. 2022; 24(3):367. https://doi.org/10.3390/e24030367
Chicago/Turabian StyleMoslem, Sarbast, Danish Farooq, Arshad Jamal, Yahya Almarhabi, Meshal Almoshaogeh, Farhan Muhammad Butt, and Rana Faisal Tufail. 2022. "An Integrated Fuzzy Analytic Hierarchy Process (AHP) Model for Studying Significant Factors Associated with Frequent Lane Changing" Entropy 24, no. 3: 367. https://doi.org/10.3390/e24030367
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