Fuel Economy due to Traffic Congestion Detector using Smartphone

The world’s first technology using a smartphone application (app) had been put by Honda’s press-release, in respect of detecting traffic congestion. The authors' smartphone app works by tracking several driving patterns such as acceleration and deceleration. This idea behind it is that drivers are often not able to keep the same speed or distance between their vehicles and the other vehicle in front of them. It is called as ‘inharmonious (disorder)’ driving patterns, and which leads to a butterfly effect of late reactions between vehicles. The flow of traffic is then broken up. In summary, the authors' smartphone app detects inharmonious traffic pattern in real time. Hence, it can provide a notification (warning) for drivers, in order to change their driving patterns to ease traffic. Theoretically, detecting congestion technology is dedicated from 1/f fluctuations (spectra) regarding driver’s acceleration or deceleration behavior. When their fluctuations is large the probability of traffic congestion is increased, and vice versa. This paper describes fuel economy using the authors' app in terms of minimizing the possibility of traffic congestion.

• Availability:
  • Find a library where document is available. Order URL: http://www.its-jp.org/english/congress_e/
• Supplemental Notes:
  • Abstract used with permission of ITS Japan. Paper No. 3390.
• Corporate Authors:

  ITS Japan

  Tokyo,   Japan 
• Authors:
  • Koshizen, Takamasa
  • Koike, Hiroyuki
• Conference:
  • 20th ITS World Congress
  • Location: Tokyo , Japan
  • Date: 2013-10-14 to 2013-10-18
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Photos; References; Tables;
• Pagination: 10p
• Monograph Title: 20th ITS World Congress, Tokyo 2013. Proceedings

Subject/Index Terms

• TRT Terms: Acceleration (Mechanics); Deceleration; Detectors; Fuel consumption; Smartphones; Traffic congestion; Web applications
• Uncontrolled Terms: Traffic patterns
• Subject Areas: Data and Information Technology; Energy; Highways; Planning and Forecasting; I15: Environment; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01535323
• Record Type: Publication
• ISBN: 9784990493981
• Files: TRIS
• Created Date: Aug 27 2014 10:47AM