A field study on the acceptance of extended floating car data for real-time monitoring traffic conditions

Andreas Pell, Friedrich Starkl, Martin Menrad

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

4 Citations (Scopus)

Abstract

Many ITS-Projects are in progress with the aims traffic optimization, providing (multimodal) traffic information and increasing road safety. A real-time traffic monitoring system is the basis system which needs data gained from stationary and mobile sensors like xFCD. Interviews dealing with topics like acceptance of data gathering, interest in possible services, data privacy protection and fears as a result of it and an online survey have been conducted. It was shown that most respondents do not have any problems with the tracking of routes went by company car but they do not want to let track their private cars. Many of the respondents are afraid of illegal data usage. However they couldn't name a real danger for this or possible attacks. The main problem is the lack of confidence in the process of anonymization. Some respondents said, only public institutions should collect personal mobile data like xFCD because private companies could sell the data for marketing purposes. Others are afraid, public institutions could use the data to impose sanctions on a driver for speeding.

Original languageEnglish
Title of host publication2012 IEEE International Symposium on Sustainable Systems and Technology, ISSST 2012
PublisherIEEE
Pages122-125
ISBN (Print)9781467320047
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Symposium on Sustainable Systems and Technology, ISSST 2012 - Boston, MA, United States
Duration: 16 May 201218 May 2012

Publication series

NameIEEE International Symposium on Sustainable Systems and Technology
ISSN (Print)2157-524X
ISSN (Electronic)2157-5258

Conference

Conference2012 IEEE International Symposium on Sustainable Systems and Technology, ISSST 2012
Country/TerritoryUnited States
CityBoston, MA
Period16.05.201218.05.2012

Keywords

  • Extended floating car data
  • intelligent transportation systems
  • mobility data collection
  • traffic monitoring
  • urban traffic optimization

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