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ThinkMind // VEHICULAR 2018, The Seventh International Conference on Advances in Vehicular Systems, Technologies and Applications // View article vehicular_2018_6_10_38003


Evaluation of Safety and Efficiency Simulation of Cooperative Automated Driving through Intersection

Authors:
Kenta Kimura
Shuntaro Azuma
Kenya Sato

Keywords: cooperative automated driving; V2V communication; traffic flow

Abstract:
The research and development of automated driving are recently thriving, and a mechanism continues to progress through which the car itself assumes the role of the driver. However, when automated driving only uses information that is collected by onboard sensors, no information on vehicles in the intersecting lanes can be obtained from intersections where the visibility is often bad and suffers from large potential blind spots. This situation increases the risk of collisions. Since no information can be obtained on blind spots until entering the intersection, the vehicle must temporarily slow down to confirm the safety of the situation. To improve safety and efficiency, information must be obtained for each vehicle and communicated with the surrounding vehicles. In this research, we examine safety and efficiency by comparing cases of automated vehicles with and without communication when entering an intersection with poor visibility. We evaluated with a simulator and identified safety and efficiency effects when an automated vehicle uses communication at an intersection that features poor visibility

Pages: 66 to 71

Copyright: Copyright (c) IARIA, 2018

Publication date: June 24, 2018

Published in: conference

ISSN: 2327-2058

ISBN: 978-1-61208-643-9

Location: Venice, Italy

Dates: from June 24, 2018 to June 28, 2018

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