Enabling safe and sustainable medical deliveries by connected autonomous freight vehicles operating within dangerous goods regulations
Enabling safe and sustainable medical deliveries by connected autonomous freight vehicles operating within dangerous goods regulations
Health service providers in developed nations are responsible for 5% of their national carbon emissions, much of which originate from transport and supply chains. Connected autonomous freight vehicles (CAV-Fs) offer the potential to reduce this impact and enable lower cost operations, with trials being explored across the world. Transportation and carriage regulations, particularly in relation to the movement of dangerous goods (DG) such as medicines and diagnostic specimens, have not been developed for and applied to this new transport mode, particularly where loads are unaccompanied. Through an audit of current legislation and practice, this paper evaluates current DGs regulations applied to the transportation of medical products and medicines by autonomous road vehicles. Where existing regulations are not appropriate for CAV-Fs, recommendations and adaptations have been proposed to support safe and practical application. Remote monitoring and tracking of vehicles are critical for ensuring load security, quick and effective incident response, and management of documents and communications between parties. Loading/unloading procedures are significantly more important than in crewed vehicles, with load segregation and recording of all activity being of key importance. Other recommendations relate to training provision, vehicle specifications, and product health monitoring.
Autonomous freight, CAV-F, Dangerous goods, Medical deliveries, Policy
Oakey, Andy
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Grote, Matt
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Royall, Paul G.
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Cherrett, Tom
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14 January 2022
Oakey, Andy
dfd6e317-1e6d-429c-a3e0-bc80e92787d1
Grote, Matt
f29566f9-42a7-498a-9671-8661a4287754
Royall, Paul G.
0c9ccd6d-5fa8-4faf-ad06-1a912282963c
Cherrett, Tom
e5929951-e97c-4720-96a8-3e586f2d5f95
Oakey, Andy, Grote, Matt, Royall, Paul G. and Cherrett, Tom
(2022)
Enabling safe and sustainable medical deliveries by connected autonomous freight vehicles operating within dangerous goods regulations.
Sustainability, 14 (2), [930].
(doi:10.3390/su14020930).
Abstract
Health service providers in developed nations are responsible for 5% of their national carbon emissions, much of which originate from transport and supply chains. Connected autonomous freight vehicles (CAV-Fs) offer the potential to reduce this impact and enable lower cost operations, with trials being explored across the world. Transportation and carriage regulations, particularly in relation to the movement of dangerous goods (DG) such as medicines and diagnostic specimens, have not been developed for and applied to this new transport mode, particularly where loads are unaccompanied. Through an audit of current legislation and practice, this paper evaluates current DGs regulations applied to the transportation of medical products and medicines by autonomous road vehicles. Where existing regulations are not appropriate for CAV-Fs, recommendations and adaptations have been proposed to support safe and practical application. Remote monitoring and tracking of vehicles are critical for ensuring load security, quick and effective incident response, and management of documents and communications between parties. Loading/unloading procedures are significantly more important than in crewed vehicles, with load segregation and recording of all activity being of key importance. Other recommendations relate to training provision, vehicle specifications, and product health monitoring.
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sustainability-14-00930-v2
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Accepted/In Press date: 4 January 2022
Published date: 14 January 2022
Additional Information:
Funding Information:
Funding: This research was funded by EPSRC grant number EP/V002619/1.
Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Keywords:
Autonomous freight, CAV-F, Dangerous goods, Medical deliveries, Policy
Identifiers
Local EPrints ID: 454073
URI: http://eprints.soton.ac.uk/id/eprint/454073
ISSN: 2071-1050
PURE UUID: 05ebe847-6ee5-4f5d-aa48-a1ed5d41b7bc
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Date deposited: 28 Jan 2022 17:31
Last modified: 12 Nov 2024 03:08
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Author:
Andy Oakey
Author:
Paul G. Royall
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