Acceleration (Deceleration) model supporting time delays to refresh data

This paper proposes a mathematical model to regulate the acceleration (deceleration) applied by self-driving vehicles in car-following situations. A virtual environment is designed to test the model in different circumstances: (1) the followers decelerate in time if the leader decelerates, considering a time delay of up to 5 s to refresh data (vehicles position coordinates) required by the model, (2) with the intention of optimizing space, the vehicles are grouped in platoons, where 3 s of time delay (to update data) is supported if the vehicles have a centre-to-centre spacing of 20 m and a time delay of 1 s is supported at a spacing of 6 m (considering a maximum speed of 20 m/s in both cases), and (3) an algorithm is presented to manage the vehicles’ priority at a traffic intersection, where the model regulates the vehicles’ acceleration (deceleration) and a balance in the number of vehicles passing from each side is achieved.

• Record URL:
  https://doi.org/10.7307/ptt.v30i2.2343
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/03535320
• Supplemental Notes:
  • © 2018 José Gerardo Carrillo González et al.
• Authors:
  • Carrillo-González, José Gerardo
  • Arámburo-Lizárraga, Jesús
  • Barbosa-Santillán, Liliana Ibeth
• Publication Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 141-149
• Serial:
  • PROMET-Traffic & Transportation
  • Volume: 30
  • Issue Number: 2
  • Publisher: University of Zagreb
  • ISSN: 0353-5320
  • EISSN: 1848-4069
  • Serial URL: https://traffic2.fpz.hr/index.php/PROMTT
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Acceleration (Mechanics); Algorithms; Autonomous vehicles; Car following; Deceleration; Delays; Intersections; Mathematical models; Simulation; Traffic platooning
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01705102
• Record Type: Publication
• Files: TRIS
• Created Date: May 21 2019 11:06AM