Citation

Aguilera V, Glaser S. Transp. Res. Rec. 2004; 1886: 109-118.

Affiliation

INRETES, Unite Mixte Lab Cent Ponts and Chaussees, LIVIC, F-78000 Versailles, France.

Copyright

(Copyright © 2004, Transportation Research Board, National Research Council, National Academy of Sciences USA, Publisher SAGE Publishing)

DOI

unavailable

PMID

unavailable

Abstract

The development of map database specifications that will enable or improve driver safety assistance systems is a topic of active research. In this context, data requirements are proposed for an advanced curve-speed warning system. Both the content of the database and the accuracy of the needed road-geometry data are addressed. First, some possible drawbacks of previous proposals in this field are sketched. Then, a model is presented to compute the highest safe speed of a road section, given three distinct submodels: vehicle dynamic, infrastructure characteristics, and driver behavior. A case study illustrates how this model may greatly improve driver suitability of curve-speed warning-control driver assistance. A sensitivity analysis formally demonstrates that the requirements concerning road-geometry data are compatible with existing low-cost measurement devices. Finally, some critiques and additions to previous works concerning map database enhancements are formulated.