Notes for Research Articles: Self-Driving Vehicles
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Notes for Research Articles: Self-Driving Vehicles
W(5)H(1): New Research Article #1 (Basic Research Article): Safety of the Introduction of Self-driving Vehicles in a Logistics Environment
1.
Who conducted the research?
Patrik Viktor and Ágnes Szeghegyi
2.
Why was the study completed (purpose / what researchers hoped to learn)
?
The purpose of the study was to examine the developments in regards to self-driving vehicles.
3.
When was data collected (not the publication year)
?
Data was collected in 2022.
4.
Where was data collected (physical location)
?
Data was collected in Hungary.
5.
How was data collected (methodology)? Cut and paste the paragraph below that describes the methodology and HIGHLIGHT the indicator words that specifically show you the methodology
:
The methodology that was used was systematic review.
“Through an extensive
literature review, we explore the development and current state of self-driving vehicles, afterward, we raise the most significant ethical issues, decisions, and trust factors reflected by society's attitude towards the spread of self-driving vehicles on public roads” (Viktor & Szeghegyi, 2022).
6.
What were the findings? Cut and paste the paragraph below that describes the findings and HIGHLIGHT the sentences that specifically show you the summary of findings:
The studies found out that pricing was a key factor in choice of self-management systems. They also introduced parameters that should help manufacturers develop the systems.
“One of the determining factors in choosing an IT system is
price, as there is a medium relationship between price and the type of IT system. That is the type of self-managed IT system we choose is affected by the
price” (Viktor & Szeghegyi, 2022).
“In addition, we have introduced several
important parameters for the intention to introduce, which describe the current market trends and may help the manufacturers to operate with a greater understanding of the expert/consumer side” (Viktor & Szeghegyi, 2022).
W(5)H(1): New Research Article #2 (Basic Research Article): Safer than the average human driver (who is less safe than me)? Examining a popular safety benchmark for self-driving cars
1.
Who conducted the research?
The research was conducted by Michael Nees
2.
Why was the study completed (purpose / what researchers hoped to learn)
?
The purpose of the study was to investigate the safety ratings of drivers and the perceived rating of self-driving cars.
3.
When was data collected (not the publication year)
?
Data was collected in 2019.
4.
Where was data collected (physical location)
?
Data was collected in US.
5.
How was data collected (methodology)? Cut and paste the paragraph below that describes the methodology and HIGHLIGHT the indicator words that specifically show you the methodology
:
The researchers used a survey to collect data.
“Using an online sample, this
study examined U.S. drivers’ ratings of their own ability to drive safely and their desired level of safety for self-driving vehicles” (Nees, 2019).
6.
What were the findings? Cut and paste the paragraph below that describes the findings and HIGHLIGHT the sentences that specifically show you the summary of findings:
The results showed that drivers believe they are better and safer drivers than automated vehicles.
“This study replicated the better-than-average effect for perceived ability to drive safely, as most drivers reported that they believe they are safer than the average driver. This study also showed that most drivers believe they drive more safely than current vehicles with automation are capable of driving” (Nees, 2019).
W(5)H(1): New Research Article #3 (Basic OR Applied Research Article): Exploring the implications of autonomous vehicles: a comprehensive review
1.
Who conducted the research?
The study was conducted by Kareem Othman.
2.
Why was the study completed (purpose / what researchers hoped to learn)
?
The purpose of the study was to explore the significance of autonomous vehicles in regards to safety, public behaviour, land use, economy, society and environment, public health, and in situations involving pandemics.
3.
When was data collected (not the publication year)
?
Data was carried out in 2021.
4.
Where was data collected (physical location)
?
Data was collected in US.
5.
How was data collected (methodology)? Cut and paste the paragraph below that describes the methodology and HIGHLIGHT the indicator words that specifically show you the methodology
:
The study utilized systematic reviews in data collection process.
“This state of the art
reviews the existing literature on the topic of implications of automated vehicles. The
databases and search engines used were Scopus, Web of Science, ScienceDirect, SPRINGER LINK, IEEE Xplore, and TRID” (Othman, 2022).
6.
What were the findings? Cut and paste the paragraph below that describes the findings and HIGHLIGHT the sentences that specifically show you the summary of findings:
The research indicated that people in developed countries have more positive mindset about self-driving vehicles compared to those in developing nations. The vehicles have both benefits and limitations in relation to public health. They can be useful when facing pandemics.
“Comparing the results across different countries (in terms of accident statistics, education, and income) shows that
people from developed countries are more pessimistic than people from developing countries towards AV adoption” (Othman, 2022).
“While AVs
might increase some risks such as pollution and sedentarism, AVs might reduce morbidity and fatalities from vehicle collisions and might help reshape cities to promote healthy environments” (Othman, 2022).
“As a result, AVs have proved their ability in addressing some of the biggest challenges confronting societies in pandemics.
Thus, the previous use cases show that AVs represent a major tool in the fight against pandemics that AVs can provide effective, and safe mobility to help people to move to their essential activities” (Othman, 2022).
W(5)H(1): New Research Article #4 (Applied Research Article): Autonomous Driving in the Logistics Industry
1.
Who conducted the research?
Lukas Neuweiler and Pia Vanessa Riedel
2.
Why was the study completed (purpose / what researchers hoped to learn)
?
The goal was to investigate the perceptions of self-driven vehicles in logistics.
3.
When was data collected (not the publication year)
?
Data was collected in 2022.
4.
Where was data collected (physical location)
?
Data was collected in Sweden and Germany.
5.
How was data collected (methodology)? Cut and paste the paragraph below that describes the methodology and HIGHLIGHT the indicator words that specifically show you the methodology
:
The research used interview to gather data.
“An inductive research approach is used to explore the topic. A multimethod research strategy is applied to gather data through
qualitative semistructured interviews with 17 participants. These were divided into five different case groups. To interpret the data a thematic analysis approach was chosen” (Neuweiler & Riedel, 2022).
6.
What were the findings? Cut and paste the paragraph below that describes the findings and HIGHLIGHT the sentences that specifically show you the summary of findings:
The findings showed that individuals think that fully autonomous driving is not expected in the near future. Resources involving the physical and knowledge aspects will become more important while human resources will lose its significance.
“Transport companies and truck developers have a clear understanding of autonomous driving and it implementation process.
Lower levels of autonomous driving are expected to be available in near future. In contrast, fully automated trucks (level 5) are not anticipated to enter the market soon. Logistics experts agree that other trends are connected to autonomous driving” (Neuweiler & Riedel, 2022).
“Competencies like driver quality might lose relevance depending on how the role of
drivers will change in this new environment. Fleet size as well as the ability to offer special
services will become more important in future.
Generally, physical and knowledge resources
will become more important, while human resources will lose relevance, if companies find
feasible solutions to replace them” (Neuweiler & Riedel, 2022).
References
Viktor, P., & Szeghegyi, Á. (2022). Safety of the introduction of self-driving vehicles in a logistics environment.
Periodica Polytechnica.Transportation Engineering, 50(4), 387-399. doi: https://doi.org/10.3311/PPtr.20006
Nees, M. A. (2019). Safer than the average human driver (who is less safe than me)? Examining a popular safety benchmark for self-driving cars.
Journal of safety research,
69, 61-68. https://doi.org/10.1016/j.jsr.2019.02.002
Othman, K. (2022). Exploring the implications of autonomous vehicles: A comprehensive review. Innovative Infrastructure Solutions, 7(2), 165. 10.1007/s41062-022-00763-6
Neuweiler, L., & Vanessa Riedel, P. (2017). Autonomous Driving in the Logistics Industry.
Jönköping university** thesis. https://www.diva-portal.org/smash/get/diva2:1129922/FULLTEXT01.pdf