Performance Evaluation of V2I-based Channel Aware Floating Car Data Transmission via LTE

The collection of Floating Car Data (FCD) is very important for dynamic traffic forecasts. For this purpose, sensor notes in cars are supposed to transmit traffic information via Long Term Evolution (LTE). In this paper, the authors evaluate this data transmission with regard to several Key Performance Indicators (KPIs) for a channel aware transmission. These indicators are the negative impact on human communication, the power consumption of the mobile devices and the local distribution of cars sending FCD in the scenario. As methodology for performance evaluation a close-to-reality parameterized Markovian model, laboratory data rate as well as power consumption measurements and ray tracing simulations are used. By applying channel aware transmission the Quality of Service (QoS) level of human communication can be obtained and simultaneously the power consumption is significantly reduced. In addition, the fraction of active FCD devices on the highway can be increased.

• Record URL:
  https://doi.org/10.1109/ITSC.2012.6338753
• Availability:
  • Find a library where document is available. Order URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6328848
• Supplemental Notes:
  • Abstract reprinted with permission of IEEE.
• Corporate Authors:

  Institute of Electrical and Electronics Engineers (IEEE)

  3 Park Avenue, 17th Floor
  New York, NY  United States  10016-5997
• Authors:
  • Ide, C
  • Dusza, B
  • Wietfeld, C
• Conference:
  • 15th International IEEE Conference on Intelligent Transportation Systems (ITSC2012)
  • Location: Anchorage Alaska, United States
  • Date: 2012-9-16 to 2012-9-19
• Publication Date: 2012-9

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 31-36
• Monograph Title: 15th International IEEE Conference on Intelligent Transportation Systems (ITSC 2012)

Subject/Index Terms

• TRT Terms: Floating car data; In vehicle sensors; Performance measurement; Quality of service; Simulation; Traffic forecasting; Vehicle to infrastructure communications
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning; I73: Traffic Control;

Filing Info

• Accession Number: 01568357
• Record Type: Publication
• ISBN: 9781467330640
• Files: TRIS
• Created Date: May 15 2015 12:10PM