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Investigating the Impact of Buffer Time on Driving Behavior in Autonomous Intersections

AL Matouq, Salman M
http://orcid.org/0000-0002-9253-5752
http://rave.ohiolink.edu/etdc/view?acc_num=ysu1588786374908375

Abstract Details

2020, Master of Computing and Information Systems, Youngstown State University, Department of Computer Science and Information Systems.
With the emergence of Autonomous Vehicles and the advancements in smart systems, autonomous traffic management continues to gain more attention in the modern transport networks. The introduction of autonomous vehicles into the real world, however, requires the use of control algorithms that can handle different road scenarios. One such practical scenario is Intersection Management (IM), which enables autonomous vehicles to enter an intersection from various directions simultaneously without collision. Prior research studied various factors affecting the quality and duration of taking over the control of autonomous vehicles when a system boundary is reached and the driver is out of the loop. However, no study investigated the effect of buffer time on the quality and duration of autonomous vehicle take-over when a system failure occurs just prior to an intersection. The objective of this study is to examine the impact of buffer time on driving behavior in terms of duration and quality of take-overs before, during, and after Take-Over Request (TOR) upon a system failure in level-3 autonomous vehicles prior to intersections while the driver is involved in a secondary task. To achieve this objective, a driving simulation environment with an autonomous intersection manager was set up, and 13 young drivers were asked to take-over the control of simulated autonomous vehicles, which were programmed to randomly fail either 3 or 7 seconds prior to intersections. The results indicated that buffer time has a statistically significant impact on the timing of taking control of autonomous vehicles. However, it does not have a statistically significant effect on how fast the driver returns to the driving position, or the quality of the take-overs in terms of breaking pattern and keeping the vehicle straight in its designated lane.
Abdu Arslanyilmaz, PhD (Advisor)
Feng Yu, PhD (Committee Member)
John Sullins, PhD (Committee Member)
38 p.
Computer Science; Information Technology
Autonomous Vehicles; Autonomous Intersections

Recommended Citations

Citations

  • AL Matouq, S. M. (2020). Investigating the Impact of Buffer Time on Driving Behavior in Autonomous Intersections [Master's thesis, Youngstown State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1588786374908375

    APA Style (7th edition)

  • AL Matouq, Salman. Investigating the Impact of Buffer Time on Driving Behavior in Autonomous Intersections. 2020. Youngstown State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ysu1588786374908375.

    MLA Style (8th edition)

  • AL Matouq, Salman. "Investigating the Impact of Buffer Time on Driving Behavior in Autonomous Intersections." Master's thesis, Youngstown State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1588786374908375

    Chicago Manual of Style (17th edition)

ysu1588786374908375
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© 2020, all rights reserved.
This open access ETD is published by Youngstown State University and OhioLINK.