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MICROSCOPIC CAR MODELING FOR INTELLIGENT TRAFFIC AND SCENARIO GENERATION IN THE UCF DRIVING SIMULATOR, YEAR 3 FINAL REPORT

A multi-year project was initiated to introduce autonomous vehicles in the University of Central Florida (UCF) Driving Simulator for real-time interaction with the simulator vehicle. This report describes the progress during the third year. In the first two years, a traffic network consisting of several one- and two-way roads, an outer loop and intersections with traffic control devices was created and populated with vehicles moving in a random manner. The network is completely defined in terms of a set of nodes and links. Using a Windows PC, the scientific and engineering program MATLAB was used to calculate positions and headings of the simulated vehicles with respect to the link/node coordinate system of the network. Work was initiated at the beginning of the third year to convert the MATLAB code for traffic generation to C in order to improve execution time and make the software portable to other computing platforms. The conversion required several months to accomplish. In addition, intelligence was added to the vehicles' movements resulting in their recognition of other vehicles and the ability to stop or proceed at signalized intersections depending on the phase of the traffic signal. The new code was successfully implemented in the original driving simulator. Midway through the final year, a new driving simulator was purchased with a more turnkey mode of operation than the previous driving simulator. In addition to superior vehicle dynamics modeling, better visuals and a motion system, the new simulator included scenario definition software to control vehicle movements of external vehicles. The main purpose of this report is to describe two ongoing research projects made possible by the existence of the scenario generation software in the new driving simulator. The first concerns evaluation of a prototype system to improve driving safety while the second pertains to a traditional area from traffic engineering.

  • Corporate Authors:

    University of Central Florida, Orlando

    4000 Central Florida Boulevard
    Orlando, FL  United States  32816-2450
  • Authors:
    • Klee, H
  • Publication Date: 2003

Language

  • English

Media Info

  • Features: Figures; Tables;
  • Pagination: 12 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00941263
  • Record Type: Publication
  • Report/Paper Numbers: Final Report
  • Files: UTC, TRIS
  • Created Date: Apr 2 2003 12:00AM