Advanced Traffic Signal Control Algorithms, Appendix A: Exploratory Advanced Research Project: BMW Final Report

Research shows that drivers can reduce fuel consumption by 12% by using Signal Phase and Timing (SPaT) information. These results are based on simulations and the main goal of this project is to build a prototype system that shows that it is possible to reduce fuel consumption when a vehicle is facing multiple traffic signals in a row. An in-vehicle system computes a speed recommendation based on current SPaT information and provides it to the driver via a graphical interface. The driver should be able to adjust his/her driving speed, resulting in improved fuel consumption. In the first field test, the position data of the vehicle is sent to a second system called Adaptive Priority for Individual Vehicle (APIV). APIV is an operational strategy that adapts signal timing to facilitate the movement of individual vehicles through signalized intersections. While the main focus of the speed recommendation system is on reducing fuel consumption, the prime focus of APIV is on reducing the number of stops at red lights at intersections and reduce fuel consumption. In addition APIV helps in reducing the number of stops at red lights and associated intersection delays, reducing travel time. Comprehensive field tests using a BMW vehicle showed that significant fuel savings are possible using the APIV.

• Record URL:
  http://www.dot.ca.gov/newtech/researchreports/reports/2013/final_report_task_2157b.pdf
• Record URL:
  https://merritt.cdlib.org/d/ark%3A%2F13030%2Fm5s4865n/1/producer%2F884614370.pdf
• 
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/884614370
• Corporate Authors:

  University of California, Berkeley

  California PATH Program, Institute of Transportation Studies
  Richmond Field Station, 1357 South 46th Street
  Richmond, CA  United States  94804-4648

  BMW Group

  Science and Traffic Policy--Traffic Technology
  80788 Munich,   Germany 

  California Department of Transportation

  Division of Research and Innovation
  1227 O Street, MS-83
  Sacramento, CA  United States  94273-0001

  Federal Highway Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Weber, Andreas
  • Winckler, Andreas
• Publication Date: 2013-9

Language

• English

Media Info

• Media Type: Digital/other
• Features: Appendices; Figures; References; Tables;
• Pagination: 52p
• Serial:
  • PATH Research Report
  • Publisher: University of California, Berkeley
  • ISSN: 1055-1425

Subject/Index Terms

• TRT Terms: Algorithms; Fuel consumption; Operating speed; Red interval (Traffic signal cycle); Traffic signal control systems; Traffic signal priority; Traffic signal timing
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I72: Traffic and Transport Planning; I73: Traffic Control;

Filing Info

• Accession Number: 01542153
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Report/Paper Numbers: CA13-2157-B, UCB-ITS-PRR-2014-4-A
• Contract Numbers: 65A0376
• Files: CALTRANS, TRIS, ATRI, STATEDOT
• Created Date: Oct 29 2014 11:25AM