Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
PREFERRED LEVEL OF VEHICLE AUTOMATION IN TURKEY AND SWEDEN: IN ASSOCIATION WITH TRAFFIC CLIMATE, TRAFFIC LOCUS OF CONTROL AND DRIVING SKILLS
Download
10405068 - PhD - İbrahim Öztürk.pdf
Date
2021-7
Author
ÖZTÜRK, İbrahim
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
595
views
649
downloads
Cite This
With technological developments, vehicles with different capabilities are becoming part of the traffic system. In recent years, vehicles with different levels of automation are taking the attention of both industry and academia. In addition, traffic climate, traffic locus of control and driving skills have been related to various road safety outcomes such as accidents. The present study examines how traffic climate, traffic locus of control and driving skills are related to drivers’ automated vehicle preference. A total of 318 drivers (M = 22.41, SD = 2.77) from Turkey and 312 drivers (M = 28.80, SD = 8.53) from Sweden participated in the study. Participants completed a questionnaire package including demographic information form with the preferred level of automation question, Traffic Climate Scale, Multidimensional Traffic Locus of Control Scale and Driving Skills Inventory. Male drivers, compared to female drivers, and drivers from Turkey, compared to drivers from Sweden, preferred vehicles with higher levels of automation. Furthermore, automation preference was associated positively with functionality and safety skills in Turkey and own skills in Sweden and negatively with perceptual-motor skills in both countries and other drivers in Sweden. Additionally, external affective demands and functionality showed three-way interactions. For example, when the external affective demands were perceived to be high in Sweden, drivers with higher safety skills or vehicle and environment attribution preferred higher levels of automation. The results presented some crucial findings in relations to future of the automated vehicles. In light of the current literature, further implications of the findings were discussed.
Subject Keywords
preferred level of vehicle automation
,
traffic climate
,
traffic locus of control
,
driving skills
URI
https://hdl.handle.net/11511/91335
Collections
Graduate School of Social Sciences, Thesis
Suggestions
OpenMETU
Core
Realistic Simulation of IEEE 802.11p Channel in Mobile Vehicle to Vehicle Communication
Islam, Tarikul; Hu, Yongchang; Onur, Ertan; Boltjes, Bert; De Jongh, J. F. C. M. (2013-04-18)
Intelligent Transportation Systems (ITS) is becoming an important paradigm, because of its ability to enhance safety and to mitigate congestion on road traffic scenarios. Realizing the fact that data collection scheme from in-situ test beds for large number of vehicles is always expensive and time consuming, before being employed in large scale, such safety critical system should be tested narrowing down the gap between real circumstances and analytical models in a simulation platform. It is evident that un...
Tracking Reported Vehicles in Traffic Management and Information System using Intelligent Junctions
Elci, Atilla; RAHNAMA, BEHNAM; Amintabar, Amirhasan (2010-05-01)
This study highlights a security scenario involving vehicles in a Traffic Management and Information System (TMIS) network. TMIS and its nodal architecture, nicknamed Intelligent Junction (IJ), are summarized from our recent work. System design sets an example to a software architecture implementing autonomous semantic agents through semantic web services, junction-based sensor networks, local- and wide-area networking through wire/wireless integrated communication infrastructure. It is so construed as to p...
Mini autonomous car architecture for urban driving scenarios
Karabulut, Gökhan; Can, Tolga; Department of Computer Engineering (2019)
Autonomous cars capable of driving in city traffic have been long studied in architectures decomposed into perception, planning, and control components. Recent advances in deep learning techniques considerably contributed to the perception component of this approach. These techniques also laid the groundwork for the progress of other approaches such as end-to-end learning of steering commands and driving affordances from camera images. Though these approaches are promising to simplify the overall architectu...
Communication and coordination for urban intelligent transportation: architecture and algorithms
Atagoziev, Maksat; Schmidt, Klaus Verner; Schmidt, Şenan Ece; Department of Electrical and Electronics Engineering (2022-2-10)
In the scope of Intelligent Transportation Systems (ITS), the automation and coordination of connected and autonomous vehicle (CAV) lane changes (LCs) have a strong impact on driving safety and traffic throughput. Accordingly, this thesis develops algorithms for the coordination of CAV LCs that are then used for controlling the traffic at intersections. First, this thesis focuses on the coordination of LCs of a group of CAVs to minimize the time when all LCs are completed, while keeping small inter-vehicle ...
Clustering-Based Modified Ant Colony Optimizer for Internet of Vehicles (CACOIOV)
Ebadinezhad , Sahar; Dereboylu, Ziya; Ever, Enver (MDPI AG, 2019-5-7)
<jats:p>The Internet of Vehicles (IoV) has recently become an emerging promising field of research due to the increasing number of vehicles each day. IoV is vehicle communications, which is also a part of the Internet of Things (IoT). Continuous topological changes of vehicular communications are a significant issue in IoV that can affect the change in network scalability, and the shortest routing path. Therefore, organizing efficient and reliable intercommunication routes between vehicular nodes, based on ...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
İ. ÖZTÜRK, “PREFERRED LEVEL OF VEHICLE AUTOMATION IN TURKEY AND SWEDEN: IN ASSOCIATION WITH TRAFFIC CLIMATE, TRAFFIC LOCUS OF CONTROL AND DRIVING SKILLS,” Ph.D. - Doctoral Program, Middle East Technical University, 2021.