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A Decision Support Model for Autonomous Trucks Strategies

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Date Issued:
2018
Abstract/Description:
We examined the potential to improve the movement of freight using Truck PlatooningLane strategies on limited access highways in the State of Florida. In the First part of thisresearch, we investigated the potential benefits from dedicating one lane from existinglanes for autonomous trucks only. In this regard, a general framework tool was developedto evaluate and compare different measurements (e.g., travel tim and emissions) to betterassist decision makers to determine the most effective freight transportation strategy.Additionally, the travel time, level of service and emissions on Florida Strategic IntermodalSystem (SIS) were systematically analyzed using a VISSIM and MOVES simulation todetermine if it can be improved. For the scenarios simulated in this investigation, the inputincluded different patterns with a variety of peak hour volumes, truck percentages, speeds,and number of lanes. Additionally, the various total values of the resultant travel time,emissions and level of service for each SIS corridor were determined and calculated usinga General Linear Model and then tabulated to reveal input patterns. The results showed thata truck platooning lane can significantly reduce the travel time and emissions of trucks. Inthe second part, we proposed using a The Analytic Hierarchy Process (AHP) method toevaluate the potential benefits of building a new lane for autonomous trucks. The AHPmethod was developed to include all possible measurements that can assist decision makersto select the best autonomous truck policy. The results of the AHP model showed that thesafety criterion was significantly the most influential perspective per experts' opinions. Theresults showed that experts were more concerned about safety and environmentalconsiderations than the initial cost associated with building a new lane.
Title: A Decision Support Model for Autonomous Trucks Strategies.
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Name(s): Mohamed, Ahmad Saeid Ammar, Author
Yun, Hae-Bum, Committee Chair
Chopra, Manoj, Committee Member
Sallam, Amr, Committee Member
University of Central Florida, Degree Grantor
Type of Resource: text
Date Issued: 2018
Publisher: University of Central Florida
Language(s): English
Abstract/Description: We examined the potential to improve the movement of freight using Truck PlatooningLane strategies on limited access highways in the State of Florida. In the First part of thisresearch, we investigated the potential benefits from dedicating one lane from existinglanes for autonomous trucks only. In this regard, a general framework tool was developedto evaluate and compare different measurements (e.g., travel tim and emissions) to betterassist decision makers to determine the most effective freight transportation strategy.Additionally, the travel time, level of service and emissions on Florida Strategic IntermodalSystem (SIS) were systematically analyzed using a VISSIM and MOVES simulation todetermine if it can be improved. For the scenarios simulated in this investigation, the inputincluded different patterns with a variety of peak hour volumes, truck percentages, speeds,and number of lanes. Additionally, the various total values of the resultant travel time,emissions and level of service for each SIS corridor were determined and calculated usinga General Linear Model and then tabulated to reveal input patterns. The results showed thata truck platooning lane can significantly reduce the travel time and emissions of trucks. Inthe second part, we proposed using a The Analytic Hierarchy Process (AHP) method toevaluate the potential benefits of building a new lane for autonomous trucks. The AHPmethod was developed to include all possible measurements that can assist decision makersto select the best autonomous truck policy. The results of the AHP model showed that thesafety criterion was significantly the most influential perspective per experts' opinions. Theresults showed that experts were more concerned about safety and environmentalconsiderations than the initial cost associated with building a new lane.
Identifier: CFE0007056 (IID), ucf:51983 (fedora)
Note(s): 2018-05-01
Ph.D.
Engineering and Computer Science, Civil, Environmental and Construction Engineering
Doctoral
This record was generated from author submitted information.
Subject(s): Truck Platooning -- Autonomous Trucks Strategies -- The Analytic Hierarchy Process (AHP) -- Truck Only Lane -- Exclusive Truck Lane
Persistent Link to This Record: http://purl.flvc.org/ucf/fd/CFE0007056
Restrictions on Access: campus 2021-05-15
Host Institution: UCF

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