| Automatic incident detection and characterization have been examined through the three articles included in this dissertation. The sample for each analysis consists of data supplied through the South Carolina Department of Transportation (SCDOT). The dissertation consists of a general introduction, Article One, Article Two, Article Three, and a general conclusion. The Alabama Freeway Incident Detection System- Incident Detection Module (AFIDS-IDM) was presented in Article One as a means of automatic incident detection in evacuation scenarios. A characterization module and a re-routing module were presented in Article Two supporting AFIDS-IDM. Article Three compares AFIDS-IDM to a group of comparison algorithms to determine the creditability of the proposed methodology. |
