Results 31 to 40 of about 48,551 (293)
SystemsThe trucking industry, a vital part of the economic structure, faces numerous challenges such as greenhouse gas emissions, labor-related issues, fluctuating fuel costs, and safety concerns.
Ali Hasiri, Amirhassan Kermanshah
doaj +1 more source
Quantifying the Economic Case for Electric Semi-Trucks
, 2018 There has been considerable interest in the electrification of freight transport, particularly heavy-duty trucks to downscale the greenhouse-gas (GHG) emissions from the transportation sector. However, the economic competitiveness of electric semi-trucks
Sripad, Shashank +1 more
core +2 more sources
MOJ Applied Bionics and BiomechanicsA short review of the formation of the International Neural Networks Society (INNS) is followed by a research review of how Autonomous Trucks (AT) uses computational intelligence. Using the power of pairs of biological sensor structures -- “agree, signals; disagree, noise” for all weather conditions, and the modern lithium batteries, electrically ...
Larry Medsker, Harold Szu
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Using Sub-Optimal Plan Detection to Identify Commitment Abandonment in Discrete Environments
, 2020 Assessing whether an agent has abandoned a goal or is actively pursuing it is important when multiple agents are trying to achieve joint goals, or when agents commit to achieving goals for each other.
Meneguzzi, Felipe +2 more
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Ranking Opportunities for Autonomous Trucks Using Data Mining and GIS
Geographies, 2023 The inefficiency of transporting goods contributes to reduced economic growth and environmental sustainability in a country. Autonomous trucks (ATs) are emerging as a solution, but the imbalance in the weight moved and ton-miles produced by long-haul and
Raj Bridgelall +2 more
doaj +1 more source
Autonomous Identification and Positioning of Trucks during Collaborative Forage Harvesting
Sensors, 2021 In the process of collaborative operation, the unloading automation of the forage harvester is of great significance to improve harvesting efficiency and reduce labor intensity.
Wei Zhang +5 more
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Redesigning Highway Infrastructure Systems for Connected Autonomous Truck Lanes
Journal of Transportation Engineering, Part A: Systems, 2022 Previous studies on connected autonomous vehicles (CAVs) examined pavement performance and lane widths separately and in isolation, and without consideration for roadworks conditions. Hence, this study presents a holistic, optimal highway design solution for connected autonomous trucks (CATs) by testing pavement failure and traffic performance under ...
Hameed Jehanfo +5 more
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Optimizing Autonomous Transfer Hub Networks: Quantifying the potential impact of self-driving trucks
EURO Journal on Transportation and LogisticsAutonomous trucks are expected to fundamentally transform the freight transportation industry. In particular, Autonomous Transfer Hub Networks (ATHNs), which combine autonomous trucks on middle miles with human-driven trucks on the first and last miles ...
Chungjae Lee +3 more
doaj +1 more source
, 2017 With ever-increasing productivity targets in mining operations, there is a growing interest in mining automation. In future mines, remote-controlled and autonomous haulers will operate underground guided by LiDAR sensors.
Borg, Markus +2 more
core +1 more source
Route and speed optimization for autonomous trucks [PDF]
Computers & Operations Research, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Moncef Ilies Nasri +2 more
openaire +4 more sources