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Impact of AI on the Trucking Industry in the U.S. - Autonomous Trucks

SSRN Electronic Journal, 2020
This work intends to demonstrate the importance of Artificial Intelligence (AI) implementation in the trucking industry and to present Autonomous Vehicles (AV) technology as one that is rapidly emerging. The work will start with a brief introduction of AV technology and its current position in America.
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Joint operation planning of drivers and trucks for semi-autonomous truck platooning

Transportmetrica A: Transport Science, 2023
Semi-autonomous truck platooning, a futuristic and promising traveling mode of trucks on highways, has received extensive attention as autonomous driving gains more maturity. Under the semi-autonomous platooning mode, rather than requiring a human driver for each truck in the platoon, only one human driver is needed for the leading truck, and all ...
Hao, Yilang   +3 more
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Road Detection for autonomous truck in mine environment

2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019
Road boundary line detection provides information of safe driving range and ensures the safety of the vehicles, which is an important part in the sensing system. Due to the mine roads are complicated and the road boundary lines are blurred, the existing road detection methods are not applicable.In this paper, a real-time road boundary detection ...
Jianlin Tang   +4 more
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Hyzon, AIDrivers plan autonomous trucks

Fuel Cells Bulletin, 2021
US-based Hyzon Motors, a supplier of hydrogen fuel cell powered heavy-duty trucks and buses, is partnering with autonomous mobility specialist AIDrivers Ltd in the UK, to develop an integrated vehicle platform to produce autonomous zero-emission trucks, buses and coaches for off-road industrial mobility.
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Perceptions of Fully Autonomous Freight Trucks

SSRN Electronic Journal, 2017
Long-standing truck driver shortages in the US freight transportation trucking industry could be relieved by the use of autonomous freight trucks, but realizing that potential requires access to and sharing of the roadway infrastructure with other drivers. Prior research has focused on consumer perceptions of personal autonomous automobiles rather than
Sean Dougherty   +3 more
openaire   +1 more source

Mine Planning and Selection of Autonomous Trucks

2019
Autonomous trucks achieve greater productivities (up to 30%), and do so with reduced fuel, maintenance and tyre wear. This is in addition to the lower costs for personnel, offset by costs of communication networks and control room operators.
Richard Price   +3 more
openaire   +1 more source

Autonomous trucking: The interplay between design and business constraints

2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2017
The world was taken by surprise with the fast growth of autonomous vehicles and the move from experimental concept cars all the way to actual cars driving among us. On the other hand, little attention has so far been paid to other autonomous vehicles like busses and trucks. The potential economic impact of autonomous long-haul freight trucking is large
John D. Abbott   +2 more
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Terrain-Adaptive Longitudinal Control for Autonomous Trucks

2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022
Xiaoyu Xiong   +4 more
openaire   +1 more source

Local Path Optimizer for an Autonomous Truck in a Harbor Scenario

2017
Recently, functional gradient algorithms like CHOMP have been very successful in producing locally optimal motion plans for articulated robots. In this paper, we have adapted CHOMP to work with a non-holonomic vehicle such as an autonomous truck with a single trailer and a differential drive robot.
Jennifer David   +3 more
openaire   +1 more source

A Framework to Evaluate Autonomic Behaviours for Intelligent Truck Parking

2016
This paper presents a multi-agent platform to evaluate different strategies to manage the negotiated management of parking spaces in road rest areas. The system dynamically adapts itself to the preferences and needs of the drivers of goods about parking requests. The system is shown to be robust to incidents regarding the closure of road rest areas and
José F. García   +3 more
openaire   +1 more source

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