A driverless vehicle demonstration on motorways and in urban environments

The constant growth of the number of vehicles in today's world demands improvements in the safety and efficiency of roads and road use. This can be in part satisfied by the implementation of autonomous driving systems because of their greater precision than human drivers in controlling a vehicle. As result, the capacity of the roads would be increased by reducing the spacing between vehicles. Moreover, greener driving modes could be applied so that the fuel consumption, and therefore carbon emissions, would be reduced. This paper presents the results obtained by the AUTOPIA program during a public demonstration performed in June 2012. This driverless experiment consisted of a 100-kilometre route around Madrid (Spain), including both urban and motorway environments. A first vehicle – acting as leader and manually driven – transmitted its relevant information – i.e., position and speed – through an 802.11p communication link to a second vehicle, which tracked the leader's trajectory and speed while maintaining a safe distance. The results were encouraging, and showed the viability of the AUTOPIA approach.

• Record URL:
  https://doi.org/10.3846/16484142.2014.1003406
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/16484142
• Supplemental Notes:
  • © 2015 Vilnius Gediminas Technical University (VGTU) Press 2015. Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Godoy, Jorge
  • Pérez, Joshué
  • Onieva, Enrique
  • Villagrá, Jorge
  • Milanés, Vicente
  • Haber, Rodolfo
• Publication Date: 2015-7

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 253-263
• Serial:
  • Transport
  • Volume: 30
  • Issue Number: 3
  • Publisher: Vilnius Gediminas Technical University (VGTU) Press
  • ISSN: 1648-4142
  • EISSN: 1648-3480
  • Serial URL: https://journals.vgtu.lt/index.php/Transport
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Automated vehicle control; Autonomous intelligent cruise control; Fuel consumption; Highway safety; Intelligent transportation systems; Urban areas; Vehicle to vehicle communications
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment; I73: Traffic Control; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01579564
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 23 2015 9:46AM