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Driver and Pedestrian Trust Analysis On Integration of Autonomous Vehicles to Infrastructure of Turkey

Year 2019, ULUK 2018 Congress Special Issue, 25 - 36, 31.12.2019
https://doi.org/10.17093/alphanumeric.505195

Abstract

Due to development in technology; technological revolution has been occurred in many sectors. The automotive sector is at the head of these technological revolutions. Autonomous vehicle technology and the development of sensors, cameras, radar and decision-making mechanisms under this technology have made the design and development of autonomous vehicles possible for every company. The aim of this study is to analyze the public's confidence in autonomous vehicles. In this study, driver and pedestrian/passenger trust was analyzed with online survey which was performed with 107 participants. Furthermore, briefly autonomous vehicle market analysis was performed with same survey and same participants. While 60,7% of participants have basics knowledge about autonomous vehicles and their systems, 10,3% of attenders didn’t have any knowledge before. The presence of autonomous vehicles in the traffic is not disturb 73,8% of participants, conversely it can be problem for 6.5% of attenders. 63,5% of participants can drive on same line with autonomous vehicle while 9,6% of attenders do not prefer that. 60,7% of respondents have trust to autonomous vehicle as pedestrian who crosses over. 56,1% of participants prefer domestic produced autonomous vehicle instead of other brand who produces autonomous vehicle and 66,3% of attenders prefer autonomous vehicle in lieu classical vehicle in case of availability. According to this analysis, majority of community in Turkey have positive perspective on autonomous vehicle.

References

  • NHTSA. (2018). Automated Vehicles for Safety. Retrieved from https://www.nhtsa. gov/technology-innovation/automated-vehicles-safety
  • Begg, D. (2014). A 2050 Vision for London: What are the implications of driverless transport?.
  • Bansal, P., Kockelman, K. M., & Singh, A. (2016). Assessing public opinions of and interest in new vehicle technologies: An Austin perspective. Transportation Research Part C: Emerging Technologies, 67, 1-14.
  • Burns, L. D., Jordan, W. C., & Scarborough, B. A. (2013). Transforming personal mobility. The Earth Institute, 431, 432.
  • Casley, S. V., Jardim, A. S., & Quartulli, A. M. (2013). A study of public acceptance of autonomous cars. Worcester Polytechnic Institute, Bachelor Thesis.
  • Chen, C., & Chen, P. (2011). Applying the TAM to travelers’ usage intentions of GPS devices. Expert Systems With Applications, 38(5), 6217-6221. doi: 10.1016/j.eswa.2010.11.047
  • De La Torre, G., Rad, P., & Choo, K. (2018). Driverless vehicle security: Challenges and future research opportunities. Future Generation Computer Systems. doi: 10.1016/j.future.2017.12.041
  • Dikmen, M., & Burns, C. (2017, October). Trust in autonomous vehicles: The case of Tesla Autopilot and Summon. In Systems, Man, and Cybernetics (SMC), 2017 IEEE International Conference on (pp. 1093-1098). IEEE.
  • Dzindolet, M., Peterson, S., Pomranky, R., Pierce, L., & Beck, H. (2003). The role of trust in automation reliance. International Journal Of Human-Computer Studies, 58(6), 697-718. doi: 10.1016/s1071-5819(03)00038-7
  • Kaur, K., & Rampersad, G. (2018). Trust in driverless cars: Investigating key factors influencing the adoption of driverless cars. Journal Of Engineering And Technology Management, 48, 87-96. doi: 10.1016/j.jengtecman.2018.04.006
  • Kyriakidis, M., Happee, R., & de Winter, J. (2015). Public opinion on automated driving: Results of an international questionnaire among 5000 respondents.
  • Transportation Research Part F: Traffic Psychology And Behaviour, 32, 127-140. doi: 10.1016/j.trf.2015.04.014
  • Lee, J., & Moray, N. (1992). Trust, control strategies and allocation of function in human-machine systems. Ergonomics, 35(10), 1243-1270. doi: 10.1080/00140139208967392
  • Lee, J., & See, K. (2004). Trust in Automation: Designing for Appropriate Reliance. Human Factors: The Journal Of The Human Factors And Ergonomics Society, 46(1), 50-80. doi: 10.1518/hfes.46.1.50.30392
  • Missel, J. (2014). Ipsos MORI Loyalty automotive survey.
  • Nasir S., Ozcelik S. (2017). Sürücüsüz Araçlara Yönelik Kullanıcı Tutumları, Eurasian Journal of Researches in Social and Economics (EJRSE), 590-603, ISSN:2148-9963
  • Parasuraman, R., & Riley, V. (1997). Humans and Automation: Use, Misuse, Disuse, Abuse. Human Factors: The Journal Of The Human Factors And Ergonomics Society, 39(2), 230-253. doi: 10.1518/001872097778543886
  • Ross, J., Szalma, J., Hancock, P., Barnett, J., & Taylor, G. (2008). The Effect of Automation Reliability on User Automation Trust and Reliance in a Search-and-Rescue Scenario. Proceedings Of The Human Factors And Ergonomics Society Annual Meeting, 52(19), 1340-1344. doi: 10.1177/154193120805201908
  • Schoettle, B., & Sivak, M. (2014). A survey of public opinion about autonomous and self-driving vehicles in the US, the UK, and Australia.
  • Sheridan, T. (2002). Humans and automation (p. System design and research issues. Human Factors and Ergonomics Society). New York: John Wiley.
  • Sommer, K. (2013). Continental mobility study 2011. Continental AG http://www. continental-corporation.com/www/download/pressportal_com_en/themes/initiatives/channel_mobility_study_en/ov_mobility_study2013_en/download_channel/pres_mobility_study_en. pdf.
  • WHO, W. (2015). Global status report on road safety 2015. Geneva, Switzerland: WHO.
  • Xu, X., & Fan, C. (2018). Autonomous vehicles, risk perceptions and insurance demand: An individual survey in China. Transportation Research Part A: Policy And Practice. doi: 10.1016/j.tra.2018.04.009

Otonom Araçların Türkiye Altyapısına Entegrasyonunda; Sürücü ve Yaya Güven Analizi

Year 2019, ULUK 2018 Congress Special Issue, 25 - 36, 31.12.2019
https://doi.org/10.17093/alphanumeric.505195

Abstract

Teknolojideki gelişmeler ile birlikte, bir çok sektörde teknolojik devrim yaşanmıştır. Otomotiv sektörü, bu teknolojik devrimlerin başında gelmektedir. Otonom araç teknolojisi ve bu teknoloji kapsamında bulunan sensör, kamera, radar ve karar alma mekanizmalarının gelişimi, her şirket için otonom araçların tasarımını ve geliştirilmesini mümkün kılmıştır. Bu çalışmada 107 katılımcı tarafından internet üzerinden gerçekleştirilen anket ile sürücü ve yaya / yolcu güveni analiz edilmiştir. Ayrıca, aynı anket ve aynı katılımcılar ile küçük bir otonom araç piyasası analizi yapılmıştır. Ankete katılanların % 60,7'si otonom araç ve sistemleri hakkında temel bilgilere sahipken,% 10,3'ü daha önce hiç bilgiye sahip değildir.. Trafikteki otonom araçların varlığı, katılımcıların% 73,8'ini rahatsız etmediği halde, % 6,5'I için problem olabilmektedir. Katılımcıların% 63,5'i otonom araç ile aynı şeritte seyir edebilirken,% 9,6'sı bunu tercih etmemektedir. Yaya olarak karşıdan geçmek isteyen katılımcıların % 60,7'si otonom araçlara güvenmekte. Ankete katılanların % 56,1'i otonom araç üreten diğer marka yerine yerli üretilen otonom araç kullanmayı tercih ederken,% 66,3'ü ise klasik otomobil yerine otonom araç kullanmayı tercih etmektedir. Bu analize göre, Türkiye'deki toplumun çoğunluğu otonom araca karşı olumlu bir bakış açısına sahiptir.

References

  • NHTSA. (2018). Automated Vehicles for Safety. Retrieved from https://www.nhtsa. gov/technology-innovation/automated-vehicles-safety
  • Begg, D. (2014). A 2050 Vision for London: What are the implications of driverless transport?.
  • Bansal, P., Kockelman, K. M., & Singh, A. (2016). Assessing public opinions of and interest in new vehicle technologies: An Austin perspective. Transportation Research Part C: Emerging Technologies, 67, 1-14.
  • Burns, L. D., Jordan, W. C., & Scarborough, B. A. (2013). Transforming personal mobility. The Earth Institute, 431, 432.
  • Casley, S. V., Jardim, A. S., & Quartulli, A. M. (2013). A study of public acceptance of autonomous cars. Worcester Polytechnic Institute, Bachelor Thesis.
  • Chen, C., & Chen, P. (2011). Applying the TAM to travelers’ usage intentions of GPS devices. Expert Systems With Applications, 38(5), 6217-6221. doi: 10.1016/j.eswa.2010.11.047
  • De La Torre, G., Rad, P., & Choo, K. (2018). Driverless vehicle security: Challenges and future research opportunities. Future Generation Computer Systems. doi: 10.1016/j.future.2017.12.041
  • Dikmen, M., & Burns, C. (2017, October). Trust in autonomous vehicles: The case of Tesla Autopilot and Summon. In Systems, Man, and Cybernetics (SMC), 2017 IEEE International Conference on (pp. 1093-1098). IEEE.
  • Dzindolet, M., Peterson, S., Pomranky, R., Pierce, L., & Beck, H. (2003). The role of trust in automation reliance. International Journal Of Human-Computer Studies, 58(6), 697-718. doi: 10.1016/s1071-5819(03)00038-7
  • Kaur, K., & Rampersad, G. (2018). Trust in driverless cars: Investigating key factors influencing the adoption of driverless cars. Journal Of Engineering And Technology Management, 48, 87-96. doi: 10.1016/j.jengtecman.2018.04.006
  • Kyriakidis, M., Happee, R., & de Winter, J. (2015). Public opinion on automated driving: Results of an international questionnaire among 5000 respondents.
  • Transportation Research Part F: Traffic Psychology And Behaviour, 32, 127-140. doi: 10.1016/j.trf.2015.04.014
  • Lee, J., & Moray, N. (1992). Trust, control strategies and allocation of function in human-machine systems. Ergonomics, 35(10), 1243-1270. doi: 10.1080/00140139208967392
  • Lee, J., & See, K. (2004). Trust in Automation: Designing for Appropriate Reliance. Human Factors: The Journal Of The Human Factors And Ergonomics Society, 46(1), 50-80. doi: 10.1518/hfes.46.1.50.30392
  • Missel, J. (2014). Ipsos MORI Loyalty automotive survey.
  • Nasir S., Ozcelik S. (2017). Sürücüsüz Araçlara Yönelik Kullanıcı Tutumları, Eurasian Journal of Researches in Social and Economics (EJRSE), 590-603, ISSN:2148-9963
  • Parasuraman, R., & Riley, V. (1997). Humans and Automation: Use, Misuse, Disuse, Abuse. Human Factors: The Journal Of The Human Factors And Ergonomics Society, 39(2), 230-253. doi: 10.1518/001872097778543886
  • Ross, J., Szalma, J., Hancock, P., Barnett, J., & Taylor, G. (2008). The Effect of Automation Reliability on User Automation Trust and Reliance in a Search-and-Rescue Scenario. Proceedings Of The Human Factors And Ergonomics Society Annual Meeting, 52(19), 1340-1344. doi: 10.1177/154193120805201908
  • Schoettle, B., & Sivak, M. (2014). A survey of public opinion about autonomous and self-driving vehicles in the US, the UK, and Australia.
  • Sheridan, T. (2002). Humans and automation (p. System design and research issues. Human Factors and Ergonomics Society). New York: John Wiley.
  • Sommer, K. (2013). Continental mobility study 2011. Continental AG http://www. continental-corporation.com/www/download/pressportal_com_en/themes/initiatives/channel_mobility_study_en/ov_mobility_study2013_en/download_channel/pres_mobility_study_en. pdf.
  • WHO, W. (2015). Global status report on road safety 2015. Geneva, Switzerland: WHO.
  • Xu, X., & Fan, C. (2018). Autonomous vehicles, risk perceptions and insurance demand: An individual survey in China. Transportation Research Part A: Policy And Practice. doi: 10.1016/j.tra.2018.04.009
There are 23 citations in total.

Details

Primary Language English
Subjects Operation
Journal Section Articles
Authors

Hakan Başargan 0000-0002-9475-3905

Publication Date December 31, 2019
Submission Date December 29, 2018
Published in Issue Year 2019 ULUK 2018 Congress Special Issue

Cite

APA Başargan, H. (2019). Driver and Pedestrian Trust Analysis On Integration of Autonomous Vehicles to Infrastructure of Turkey. Alphanumeric Journal, 7, 25-36. https://doi.org/10.17093/alphanumeric.505195

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