Using Driving Simulator Environment to Determine Interactions Between User Behavior and Infrastructure Design Under Autonomous Vehicles
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2022-12-01
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Edition:Final Report. 1/1/2018 -12/31/2022
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Abstract:Autonomous vehicles have a huge potential to improve transportation systems by increasing roadway capacity, safety, accessibility and reducing pollution, congestion. This emerging technology promises safer, efficient roadways and can help reduce pollution. For the various levels of autonomy to be deployed into the real world safely and efficiently, roadway design modifications such as roadway markings, signage, and channeling devices have been suggested. However, the question still remains as to how human drivers would adapt to such roadway design changes and the presence of AVs. This report addresses these research gaps using a driving simulator experiment that investigates the effect of roadway design modifications and presence of autonomous vehicles on human driving behavior. The experiment analyzed three roadway design modifications: incorporation of a dedicated AV-only lane separated from human driven lanes by road barriers; a mixed-lane design where human driven vehicles and AVs share the lane, and a mixed-lane design with a separate lane for bikes and scooters. The results suggest that the roadway delineation devices can help enhance safety during the initial phase of deployment of autonomous vehicles by minimizing the interactions between autonomous vehicles and human-driven vehicles. The results of experimental and survey data analyses suggest that human drivers are comfortable with sharing the lane with AVs and as indicated by a slight increase in speeds.
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