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Poster: Distracted Driving Management
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Poster: Distracted Driving Management

Abstract

Today, modern vehicles can detect other nearby distracted drivers. The next step could be the management of distracted driving, in which a system guides innocent drivers around distracted drivers. The ego vehicle can share detected nearby distracted drivers with the remote server. The remote server tracks them and generates control suggestions (i.e., speed and lane change advisories) to keep innocent drivers away from distracted drivers. In this paper, we focus on that use case. We propose to generate control suggestions (e.g., speed and lane change advisories) for connected vehicles around inattentive drivers. Extensive simulations show that distracted driving management could decrease the collision risk by 78%.

Authors

Ucar S; Yang H; Oguchi K

Volume

00

Pagination

pp. 277-278

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

December 8, 2022

DOI

10.1109/sec54971.2022.00029

Name of conference

2022 IEEE/ACM 7th Symposium on Edge Computing (SEC)
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