An estimation of the future adoption rate of autonomous trucks by freight organizations

Simpson, Jesse; Mishra, Sabyasachee; Talebian, Ahmadreza; Golias, Mihalis M.

doi:10.1016/j.retrec.2019.100737

Cited by 33 publications

(20 citation statements)

References 35 publications

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“…The largest uncertainties related to RADRs are perhaps the cost and regulatory barriers. The rate and speed of adoption of RADRs will greatly depend on the costs and ease of entry into the delivery market, as discussed by previous studies focusing on the adoption of autonomous trucks by freight organizations ( 34, 35 ). It is assumed that packages transported are small, as Amazon reported most packages delivered are less than 5 lb in weight ( 36 ).…”

Section: Discussionmentioning

confidence: 99%

Study of Road Autonomous Delivery Robots and Their Potential Effects on Freight Efficiency and Travel

Jennings

Figliozzi

2020

Transportation Research Record

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Road autonomous mobile robots have attracted the attention of delivery companies and policy makers owing to their potential to reduce costs and increase urban freight efficiency. Established delivery companies and new startups are investing in technologies that reduce delivery times, increase delivery drivers’ productivity, or both. In this context, the adoption of road automatic (or autonomous) delivery robots (RADRs) has a growing appeal. Several RADRs are currently being tested in the United States. The key novel contributions of this research are: (a) an analysis of the characteristics and regulation of RADRs in the U.S. and (b) a study of the relative travel, time, and cost efficiencies that RADRs can bring about when compared to traditional van deliveries. The results show that RADRs can provide substantial cost savings in many scenarios, but in all cases at the expense of substantially higher vehicle miles per customer served. Unlike sidewalk autonomous delivery robots (SADRs), it is possible the RADRs will contribute significantly to additional vehicle miles per customer served.

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Section: Discussionmentioning

confidence: 99%

Study of Road Autonomous Delivery Robots and Their Potential Effects on Freight Efficiency and Travel

Jennings

Figliozzi

2020

Transportation Research Record

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“…Taking a system offline to fix bugs, improve system performance, or extend functionality causes delay and disruption. Driverless vehicular technology promises non-stop long-haul trucks and round-the-clock lift-hailing rides and therefore the window to administer software updates become shorter and downtime is a significant disruption [59][60][61]. For the purposes of this research, a DSU refers to a vehicle sub-system that can be updated and made available once completed, without the vehicle requiring shut down and while it is still in a mode of operation.…”

Section: Dynamic Updatementioning

confidence: 99%

Continuous Automotive Software Updates through Container Image Layers

2021

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The vehicle-embedded system also known as the electronic control unit (ECU) has transformed the humble motorcar, making it more efficient, environmentally friendly, and safer, but has led to a system which is highly dependent on software. As new technologies and features are included with each new vehicle model, the increased reliance on software will no doubt continue. It is an undeniable fact that all software contains bugs, errors, and potential vulnerabilities, which when discovered must be addressed in a timely manner, primarily through patching and updates, to preserve vehicle and occupant safety and integrity. However, current automotive software updating practices are ad hoc at best and often follow the same inefficient fix mechanisms associated with a physical component failure of return or recall. Increasing vehicle connectivity heralds the potential for over the air (OtA) software updates, but rigid ECU hardware design does not often facilitate or enable OtA updating. To address the associated issues regarding automotive ECU-based software updates, a new approach in how automotive software is deployed to the ECU is required. This paper presents how lightweight virtualisation technologies known as containers can promote efficient automotive ECU software updates. ECU functional software can be deployed to a container built from an associated image. Container images promote efficiency in download size and times through layer sharing, similar to ECU difference or delta flashing. Through containers, connectivity and OtA future software updates can be completed without inconveniences to the consumer or incurring expense to the manufacturer.

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“…This section presents an extensive parametric analysis on the influence of the number of vehicles and their spacing in the response of the SSB and the CSB. The study considers constant separation between vehicles, which not only has an academic interest in the study of potential resonant effects in bridges but also a significant relevance with the advent of connected autonomous trucks (CATs) in the future [26].…”

Section: Critical Vehicle Arrangementsmentioning

confidence: 99%

A fast mode superposition algorithm and its application to the analysis of bridges under moving loads

Cámara

2021

Advances in Engineering Software

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An estimation of the future adoption rate of autonomous trucks by freight organizations

Cited by 33 publications

References 35 publications

Study of Road Autonomous Delivery Robots and Their Potential Effects on Freight Efficiency and Travel

Study of Road Autonomous Delivery Robots and Their Potential Effects on Freight Efficiency and Travel

Continuous Automotive Software Updates through Container Image Layers

A fast mode superposition algorithm and its application to the analysis of bridges under moving loads

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