Studying the Simultaneous Impact of Autonomous Vehicles and Distracted Driving on Safety at Unsignalized Intersections

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Khashayarfard, Mohammad | 2021

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 53773 (09)
University: Sharif University of Technology
Department: Civil Engineering
Advisor(s): Nassiri, Habibollah
Abstract:
Human error is one of the most important causes of accidents. Distraction and lack of attention to driving, fatigue, poor vision, speeding, and other such errors by drivers can cause accidents. With the rapid advancement of technology, transportation planners also thought of making cars as smart as possible to reduce human error. In this study, the effect of self-driving cars on the number of accidents at two unsignalized intersections is investigated using traffic microsimulation. For conventional vehicles, the factor considered for the simulation and calibration is driver distraction, which may be caused by reading or writing a text message on a cellphone or other items. This factor can be obtained by using driving simulators. Due to the dearth of data for autonomous vehicles, surrogate measures of safety are used to assess their impact on safety. The results show that the presence of 100% of AVs can reduce the number of accidents by up to 93%
Keywords:
Traffic Safety ; Driver Distraction ; Micro Simulation ; Autonomous Vehicles (AVs) ; Human Error ; Accident Prevention

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