Impact of Autonomous and Connected Truck Platoons in the Pacific Northwest on Transportation Infrastructure
项目名称: Impact of Autonomous and Connected Truck Platoons in the Pacific Northwest on Transportation Infrastructure
摘要: The operational characteristics of freight shipment will significantly change after the implementation of Autonomous and Connected Trucks (ACT). This change will have major impacts on mobility, safety, and infrastructure service life. Truck platooning is one of truck arrangements that will become feasible in the near future with the connected vehicle technology. It allows and enables trucks to be connected with themselves and with the surrounding infrastructure. The advantage of platooning is reducing traffic congestion, and improving transport and fuel efficiency. The main goal of this study is to investigate various truck platooning configurations on load rating of existing bridges’ super and substructures. A proposed matrix will be presented in the approach section. The results of this proposal will answer the following questions: a) How long a platoon can be before it begins to pose unacceptable risks to the traveling public? b) What happens if a platoon backup onto a bridge? c) Will a platoon of trucks consist of similar configurations (number of axles with the same axle loading) or mixed configurations will be permitted? d) What is the minimum gap spacing between trucks? and the minimum spacing between platoon and non-platoon? e) In addition, the stress range and the number of load cycles caused by a platoon may accelerate shorten the service life and deterioration of the bridge. This will increase bridge maintenance and rehabilitation activities overwhelming bridge owners.
状态: Active
资金: 80000
资助组织: Pacific Northwest Transportation Consortium<==>Office of the Assistant Secretary for Research and Technology
项目负责人: Ibrahim, Ahmed
执行机构: National Institute for Advanced Transportation Technology
开始时间: 20210516
预计完成日期: 20220515
主题领域: Bridges and other structures;Freight Transportation;Highways;Planning and Forecasting;Vehicles and Equipment
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