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Title: Optimization of Lateral Position of Autonomous Trucks (OPLAT)
Accession Number: 01698440
Record Type: Component
Abstract: Introduction of autonomous and connected trucks (ACTs) is expected to result in drastic changes in operational characteristics of freight shipments, which may in turn have significant impacts on efficiency, safety, energy consumption, and infrastructure durability. One such important change would be the formation of truck platoons which will be more feasible and practical with the intelligent technologies existing in ACTs that enable the connection among vehicles and between vehicles and infrastructure. Reducing congestion, braking/accelerating and fuel efficiency are some of reported and expected benefits of the platooning. Yet, such platooning operations may accelerate the damage accumulation within pavement structures because of their similar lateral positions (i.e., wheel wander) within the lane. Therefore, this study develops a platooning control strategy for a fleet of ACTs such that trucks’ lateral shifts within a lane can be explicitly optimized to minimize damage to the pavement, thus significantly reducing maintenance and rehabilitation costs. The efficacy of the proposed strategy was demonstrated through a case study. The results showed that the cost of platooning can be reduced by approximately 0.5 million $/mi depending on the platoon size, pavement thickness and traffic.
Supplemental Notes: This paper was sponsored by TRB committee AFD30 Standing Committee on General and Emerging Pavement Design.
Report/Paper Numbers: 19-05626
Language: English
Corporate Authors: Transportation Research BoardAuthors: Gungor, Osman ErmanShe, RuifengAl-Qadi, Imad LOuyang, YanfengPagination: 3p
Publication Date: 2019
Conference:
Transportation Research Board 98th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
TRT Terms: Uncontrolled Terms: Subject Areas: Highways; Motor Carriers; Operations and Traffic Management; Pavements
Source Data: Transportation Research Board Annual Meeting 2019 Paper #19-05626
Files: TRIS, TRB, ATRI
Created Date: Dec 7 2018 9:26AM
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