Towards safer texting while driving through stop time prediction

Hongyu Li, Luyang Liu, Cagdas Karatas, Jian Liu, Marco Gruteser, Yingying Chen, Yan Wang, Richard P. Martin, Jie Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 1st ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services, CarSys 2016
PublisherAssociation for Computing Machinery
Pages14-21
Number of pages8
ISBN (Print)9781450342506
DOIs
StatePublished - Oct 3 2016
Event1st ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services, CarSys 2016 - New York, United States
Duration: Oct 3 2016Oct 7 2016

Publication series

NameProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM

Other

Other1st ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services, CarSys 2016
CountryUnited States
CityNew York
Period10/3/1610/7/16

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

Keywords

  • Safety aware notification
  • Safety driving
  • Smart phone application

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