Fully automated vehicles: A cost of ownership analysis to inform early adoption
By Z. Wadud. 2017
191 citations recorded by the source corpus.
Vehicle automation and its adoption by the vehicle purchasers is an active area of research among transportation academics. So far, most of the interest in the adoption of fully automated, driverless vehicles has focussed on private vehicles alone, yet full automation could be beneficial for commercial vehicles too. This paper identifies the vehicle sectors that will likely be the earliest adopters of full automation. Total cost of ownership analysis is used to compare the costs (and benefits) of vehicle automation for private vehicles among different income groups and commercial vehicles in the taxi and freight sectors in the UK. Commercial operations clearly benefit more from automation because the driver costs can be reduced substantially through automation. Among private users, households with the highest income will benefit more from automation because of their higher driving distances and higher perceived value of time, which can be used more productively through full automation.
Subfields: Automotive Engineering, Electrical and Electronic Engineering, Transportation
View Paper: https://www.semanticscholar.org/paper/9bf6dab23398313a07793fe5d8639852f4d8eb7c
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In Automotive Engineering
In Electrical and Electronic Engineering
In Transportation
Citations in the corpus
- Forecasting the Impact of Connected and Automated Vehicles on Energy Use: A Microeconomic Study of Induced Travel and Energy Rebound (2019, background): “60% is consistently accepted as the upper bound of possible TTC reductions in the literature [4,5,22,30,42,44], since in-vehicle attention requirements cannot be completely eliminated.17 In our forecasting exercise, we increase fuel economy (MPG) and travel time cost (Pt) by X and Y , respectively, ”
- A review of public transport economics (2021, background): “Wadud (2017) finds that 60 percent of bus drivers’ current wage expenditure could be saved in the UK, Bösch et al. (2018) claim that the cost of taxi trips could drop by not less than 85 percent in Zurich, while Ongel et al. (2019) estimates a 70 percent reduction in the cost of operating six…”