Review of Self-Driving Taxi Research Papers

Research paper review
of self-driving taxi

Table of Contents
INTRODUCTION...........................................................................................................................1
MAIN BODY...................................................................................................................................1
Research Paper 1 - Rage against the machine? Google's self-driving cars versus human drivers
................................................................................................................................................1
Research Paper 2 - Autonomous Taxi Service Design and User Experience........................4
Research Paper 3 - Self-Driving Cars: A Survey...................................................................7
Research Paper 4 - Attitudes Toward Autonomous on Demand Mobility.............................9
System: The Case of Self-Driving Taxi.................................................................................9
References:.....................................................................................................................................12

INTRODUCTION
The following discussions are made on an organization, Waymo LLC, it is one of the
leading international American autonomous driving technology development company based in
US in 2009. It offers the products and services like self-driving taxi services. It mainly uses the
technical concept of artificial intelligence in their systems and productions. Company is relied on
the concept of AI because they want to apply the machine learning using google brain in its self-
driving cars. They have used the concept of deep learning to teach their cars a certain thing such
as nature of the objects on roads and understanding that how they actually react and response to
senses they feel due to the concept of artificial intelligence (Badue, Guidolini, Carneiro and de
Paula Veronese, 2020). Therefore, this report covers the review of four research papers such as
Rage against the machine? Google's self-driving cars versus human drivers, Autonomous Taxi
Service Design and User Experience, Self-Driving Cars: A Survey and Attitudes Toward
Autonomous on Demand Mobility System: The Case of Self-Driving Taxi. All are reviewed in
context of the Waymo LLC company with the questions which are addressed are exploring
datasets, proposal, research Problems solved, methodology used, merits, demerits, aspects
covered in literature review, formulation and justification of the work, claims by the author,
justification of such claims, comparative analysis, findings, contribution, importance of findings,
scope of improvement, ways to improve, future dimensions and review.
MAIN BODY
Research Paper 1 - Rage against the machine? Google's self-driving cars versus human drivers
Proposal Methodology used
It describes the both disadvantages and
advantages in highway safety of self-driving
cars. Google has been inventing self-driving cars
and experimenting them under worker direction
on open roads since 2009. These transports have
been included in various crashes, and it is of
involvement that how this experiment
programme is different from manlike drivers in
Google car crashes were coded by variety
and intensity which is dependent on narration
discharged by Google. Crash taxation per
million vehicle miles travelled - VMT were
calculated for crashes took in an intense
manner adequately to be reportable to police.
These were differentiated with police-
reported crash taxation for manlike drivers.
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context of safety purposes. Crash forms also were differentiated.
Aspects covered in literature review
Literature review covers the aspects that are related to the comparison between the
efficiency of self-driven cars and human driven cars. Research is all about the concept of using
such transport in an efficient manner with a good safety in highway when using with in the form
of self-driven cars so that it can be encouraged more (Fan, Jiao, Ye, Yu, Pitas and Liu, 2019).
Formulation and justification of the work
Research has developed with the help of better formulation and justification of work by
using facts or figures and statistical data so that it can be justified in a more amended manner
such as the facts of Google crash events in autonomous mode that were judged to be police-
reportable. Observation of police-reportable Google crashes in autonomous mode in Mountain
View (Rage against the machine., 2017). Expected police-reportable Google crashes in
autonomous mode in Mountain View, based on Mountain View police-reported crashes and
related to VMT. Crash incident involvement rates per million VMT and 95% confidence
intervals by type Google autonomous mode and SHRP2 levels 1–3 combined.
Claims by the author
For example, “Blanco et al. (2016) found Google cars broadly have less crash taxation
than standard vehicles by examining the data from the Second Strategic Highway Research
Program (SHRP2) naturalistic driving study. The SHRP2 study concerned over 3000 active
drivers across six study sites throughout the United States. Each associate drove a vehicle fitted
out with detector and visual communication to evidenced all driving for up to 3 years’ time
period” (Raue, D'Ambrosio, Ward and Coughlin, 2019).
Justification of such claims
It can be justified as the references are used at the end of the research paper so that it can
be proved of such claims for example “Blanco, M., Atwood, J., Russell, S., Trimble, T.,
McClafferty, J., & Perez, M. (2016). Automated vehicle crash rate comparison using naturalistic
data. Final report. Blacksburg, VA: Virginia Tech Transportation Institute”.
Findings
Google cars has a very decreased charge of police - reportable crashes per million vehicle
miles travel than manlike drivers in Mountain Scene, but the variation was not factual important.
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