On the Construction of a Safety Gap Prediction Model for Freeway Bus Lane-Changing Maneuver Using Driving Simulator Data

Lane-change crashes are not only responsible for an important portion of vehicular fatalities, but also for crash-caused traffic delays, often resulting in congestion. The type of discretionary lane change was the focus of this research, in which a safety gap prediction model was constructed for potential application in the development of lane-change support systems. Data for analysis and model fitting were collected from a fixed-based bus driving simulator. The experimental scene designed for the driving simulator consisted of a straight section of two-lane freeway mainline with daylight and vehicular flows traveling at different speed levels on the road. Ten professional coach drivers were recruited to perform lane-change experiments. Results of two-way ANOVA revealed a significant lane-change direction × vehicle speed on the target lane interaction, and further analyses demonstrated that there was a simple effect for vehicle speed on the target lane in the left-to-right group of the type of lane-change direction factor. A safety gap forecasting model with the time gap between lead and lag vehicle on the target lane as the forecasted variable was constructed, and tests of true out-of-sample forecast accuracy of the prediction model showed promising results for its potential application in the development of lane-change support systems.

Language

  • English

Media Info

  • Media Type: CD-ROM
  • Features: Figures; References; Tables;
  • Pagination: pp 416-422
  • Monograph Title: Proceedings of the 4th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design, Stevenson, Washington, July 9-12, 2007

Subject/Index Terms

Filing Info

  • Accession Number: 01055552
  • Record Type: Publication
  • ISBN: 9780874141580
  • Files: TRIS
  • Created Date: Aug 23 2007 1:01PM