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Towards safer texting while driving through stop time prediction

Authors:

Cagdas Karatas,

Marco Gruteser,

Richard P. Martin,

Jie YangAuthors Info & Claims

CarSys '16: Proceedings of the First ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services

Pages 14 - 21

https://doi.org/10.1145/2980100.2980102

Published: 03 October 2016 Publication History

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Abstract

Driver distraction due to in-vehicle device use is an increasing concern and has led to national attention. We ask whether it is not more effective to channel the drivers' device and information system use into safer periods, rather than attempt a complete prohibition of mobile device use. This paper aims to start the discussion by examining the feasibility of automatically identifying safer periods for operating mobile devices. We propose a movement-based architecture design to identify relatively safe periods, estimate the duration and safety level of each period, and delay notifications until a safer period arrives. To further explore the feasibility of such a system architecture, we design and implement a prediction algorithm for one safe period, long traffic signal stops, that relies on crowd sourced position data. Simulations and experimental evaluation show that the system can achieve a low prediction error and its converge and prediction accuracy increase proportionally to the availability of the amount of crowd-sourced data.

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Cited By

Zhu YMiao CHajiaghajani FHuai MSu LQiao C(2021)Adversarial Attacks against LiDAR Semantic Segmentation in Autonomous DrivingProceedings of the 19th ACM Conference on Embedded Networked Sensor Systems10.1145/3485730.3485935(329-342)Online publication date: 15-Nov-2021
https://dl.acm.org/doi/10.1145/3485730.3485935
Zunnurhain KGonzalez A(2018)Enhancement of User Experience with Mobile AppWorkshop Proceedings of the 47th International Conference on Parallel Processing10.1145/3229710.3229745(1-6)Online publication date: 13-Aug-2018
https://dl.acm.org/doi/10.1145/3229710.3229745
Liu LLi HLiu JKaratas CWang YGruteser MChen YMartin RChoudhury TKo SCampbell AGanesan D(2017)BigRoadProceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services10.1145/3081333.3081344(371-384)Online publication date: 16-Jun-2017
https://dl.acm.org/doi/10.1145/3081333.3081344

Index Terms

Towards safer texting while driving through stop time prediction

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Published In

cover image ACM Other conferences

CarSys '16: Proceedings of the First ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services

October 2016

74 pages

ISBN:9781450342506

DOI:10.1145/2980100

General Chairs:
P. R. Kumar
Texas A&M Univ.
,
Xinzhou Wu
Qualcomm Research

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 October 2016

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National Science Foundation

Conference

MobiCom'16

MobiCom'16: The 22nd Annual International Conference on Mobile Computing and Networking

October 3 - 7, 2016

New York, New York City

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CarSys '16 Paper Acceptance Rate 8 of 20 submissions, 40%;

Overall Acceptance Rate 8 of 20 submissions, 40%

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Cited By

Zhu YMiao CHajiaghajani FHuai MSu LQiao C(2021)Adversarial Attacks against LiDAR Semantic Segmentation in Autonomous DrivingProceedings of the 19th ACM Conference on Embedded Networked Sensor Systems10.1145/3485730.3485935(329-342)Online publication date: 15-Nov-2021
https://dl.acm.org/doi/10.1145/3485730.3485935
Zunnurhain KGonzalez A(2018)Enhancement of User Experience with Mobile AppWorkshop Proceedings of the 47th International Conference on Parallel Processing10.1145/3229710.3229745(1-6)Online publication date: 13-Aug-2018
https://dl.acm.org/doi/10.1145/3229710.3229745
Liu LLi HLiu JKaratas CWang YGruteser MChen YMartin RChoudhury TKo SCampbell AGanesan D(2017)BigRoadProceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services10.1145/3081333.3081344(371-384)Online publication date: 16-Jun-2017
https://dl.acm.org/doi/10.1145/3081333.3081344

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