Poster: Detection of transportation mode based on smartphones for reducing distracted driving

Xin Gao, Jie Tian, Guiling Wang

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

1 Scopus citations

Abstract

Nowadays, distracted driving is becoming a very dangerous epidemic on the roadways. A lot of activities may lead to dis- tracted driving, such as texting, making phone calls, using GPS or road maps, eating, using in-car entertainment sys- tems, etc. As the number of smartphones is rapidly growing year by year, using smartphone is by far the most danger- ous and alarming driver distraction. In this paper, we design an app on iPhone for reducing the smartphone-related dis- tracted driving, which can run in the background and can lock the smartphone screen with no passwords required when it detects that the user is driving. After the user finishes driving, the lock will be removed immediately. We also de- scribe a DTM algorithm to detect the transportation mode and give the performance analysis of our system. The re- sults show that our system can save more energy than other related applications. Copyright

Original languageEnglish (US)
Title of host publicationMobiCom 2014 - Proceedings of the 20th Annual
PublisherAssociation for Computing Machinery
Pages355-357
Number of pages3
ISBN (Electronic)9781450327831
DOIs
StatePublished - Sep 7 2014
Event20th ACM Annual International Conference on Mobile Computing and Networking, MobiCom 2014 - Maui, United States
Duration: Sep 7 2014Sep 11 2014

Publication series

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

Other

Other20th ACM Annual International Conference on Mobile Computing and Networking, MobiCom 2014
CountryUnited States
CityMaui
Period9/7/149/11/14

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Keywords

  • DTM
  • Distracted driving
  • GPS
  • Smartphone
  • Transportation mode

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