Application of the Analytical Hierarchy Process for Autonomous Truck Strategies of Commercial Vehicles

This research reports on the development of a model to measure the value of a given traffic strategy for freight truck traffic through the perspective of multiple involved agencies. The model was designed as an Analytical Hierarchy Process (AHP) model, wherein each perspective was broken down into s...

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Main Authors: Ahmad Mohamed, Scott Stone, Amr A. Oloufa
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/14/21/9702
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author Ahmad Mohamed
Scott Stone
Amr A. Oloufa
author_facet Ahmad Mohamed
Scott Stone
Amr A. Oloufa
author_sort Ahmad Mohamed
collection DOAJ
description This research reports on the development of a model to measure the value of a given traffic strategy for freight truck traffic through the perspective of multiple involved agencies. The model was designed as an Analytical Hierarchy Process (AHP) model, wherein each perspective was broken down into sub-criteria in subsequent tiers. These sub-criteria would then be compared to each other to determine the overall weights of each perspective in evaluating different traffic control strategies. The model was created to determine the value of four specific perspectives: the Economic, Safety, Environmental, and Mobility Perspectives of a given traffic control strategy. These perspectives were tested through the surveying of 24 experts within the state of Florida involved in the field of transportation, who were consulted to determine the weights of each perspective and its criteria using pairwise comparisons. Once completed, the model was then tested to evaluate the overall priority of three alternatives: one in which no strategy was employed, one in which a strategy was employed at a speed of 55 mph, and one in which it was employed at 75 mph. The results showed that safety was selected as the most important perspective among all the consulted experts. Since the strategy of implementation at 55 mph was deemed the safest, it was calculated as the most sustainable alternative, despite its lower speed and efficiency lowering the economic and mobility priorities. This supports the implementation of the AHP model in upper-level decision making, as it allows management to determine the best decision that will placate all lower-level parties, preventing conflict and increasing overall workplace efficiency.
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spelling doaj-art-bc6183faff344b4b896607a8c90397382024-11-08T14:33:04ZengMDPI AGApplied Sciences2076-34172024-10-011421970210.3390/app14219702Application of the Analytical Hierarchy Process for Autonomous Truck Strategies of Commercial VehiclesAhmad Mohamed0Scott Stone1Amr A. Oloufa2Blattner-Renewable Energy, Onshore Wind Energy (Geotechnical, Structural, and Civil), Avon, MN 56310, USADepartment of Civil, Construction, and Environmental Engineering, University of Central Florida, Orlando, FL 32816, USADepartment of Civil, Construction, and Environmental Engineering, University of Central Florida, Orlando, FL 32816, USAThis research reports on the development of a model to measure the value of a given traffic strategy for freight truck traffic through the perspective of multiple involved agencies. The model was designed as an Analytical Hierarchy Process (AHP) model, wherein each perspective was broken down into sub-criteria in subsequent tiers. These sub-criteria would then be compared to each other to determine the overall weights of each perspective in evaluating different traffic control strategies. The model was created to determine the value of four specific perspectives: the Economic, Safety, Environmental, and Mobility Perspectives of a given traffic control strategy. These perspectives were tested through the surveying of 24 experts within the state of Florida involved in the field of transportation, who were consulted to determine the weights of each perspective and its criteria using pairwise comparisons. Once completed, the model was then tested to evaluate the overall priority of three alternatives: one in which no strategy was employed, one in which a strategy was employed at a speed of 55 mph, and one in which it was employed at 75 mph. The results showed that safety was selected as the most important perspective among all the consulted experts. Since the strategy of implementation at 55 mph was deemed the safest, it was calculated as the most sustainable alternative, despite its lower speed and efficiency lowering the economic and mobility priorities. This supports the implementation of the AHP model in upper-level decision making, as it allows management to determine the best decision that will placate all lower-level parties, preventing conflict and increasing overall workplace efficiency.https://www.mdpi.com/2076-3417/14/21/9702analytical hierarchy process (AHP)perspectiveeconomicsafetymobilitycriterion
spellingShingle Ahmad Mohamed
Scott Stone
Amr A. Oloufa
Application of the Analytical Hierarchy Process for Autonomous Truck Strategies of Commercial Vehicles
Applied Sciences
analytical hierarchy process (AHP)
perspective
economic
safety
mobility
criterion
title Application of the Analytical Hierarchy Process for Autonomous Truck Strategies of Commercial Vehicles
title_full Application of the Analytical Hierarchy Process for Autonomous Truck Strategies of Commercial Vehicles
title_fullStr Application of the Analytical Hierarchy Process for Autonomous Truck Strategies of Commercial Vehicles
title_full_unstemmed Application of the Analytical Hierarchy Process for Autonomous Truck Strategies of Commercial Vehicles
title_short Application of the Analytical Hierarchy Process for Autonomous Truck Strategies of Commercial Vehicles
title_sort application of the analytical hierarchy process for autonomous truck strategies of commercial vehicles
topic analytical hierarchy process (AHP)
perspective
economic
safety
mobility
criterion
url https://www.mdpi.com/2076-3417/14/21/9702
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AT scottstone applicationoftheanalyticalhierarchyprocessforautonomoustruckstrategiesofcommercialvehicles
AT amraoloufa applicationoftheanalyticalhierarchyprocessforautonomoustruckstrategiesofcommercialvehicles