An Online Prediction System of Traffic Signal Status for Assisted Driving on Urban Streets: Pilot Experiences in the United States, China, and Germany

Stop and go movements on urban streets under traffic signals are the sources of increased fuel consumption, vehicle wear and tear, commuter anxiety, and thus safety risks. When approaching or stopping at a signalized intersection, if a driver or in-vehicle computers can be assisted with traffic light state and switching information, many of these side effects can be greatly alleviated.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/614107147
• Supplemental Notes:
  • Abstract reprinted with permission from the Institute of Transportation Engineers.
• Authors:
  • Bauer, Thomas
  • Ma, Jingtao
  • Offermann, Frank
• Publication Date: 2015-2

Language

• English

Media Info

• Media Type: Print
• Features: Figures; Photos; References; Tables;
• Pagination: pp 37-43
• Serial:
  • ITE Journal
  • Volume: 85
  • Issue Number: 2
  • Publisher: Institute of Transportation Engineers (ITE)
  • ISSN: 0162-8178
  • Serial URL: https://www.ite.org/publications/ite-journal/

Subject/Index Terms

• TRT Terms: Driver support systems; Forecasting; Highway safety; Signalized intersections; Traffic signals; Urban highways
• Geographic Terms: China; Germany; United States
• 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: 01567904
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 6 2015 5:08PM