Evaluating and improving incident management using historical incident data : case studies at Texas transportation management centers.
-
2009-08-01
-
Details:
-
Alternative Title:Project title: Incorporating historical incident data into incident detection and performance measures at transportation management centers
-
Creators:
-
Corporate Creators:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
Publication/ Report Number:
-
Resource Type:
-
Geographical Coverage:
-
Edition:Technical report; Sept. 2006-Aug. 2008.
-
Corporate Publisher:
-
Abstract:The companion guidebook (0-5485-P2) developed as part of this study provides the procedures and
methodologies for effective use of historical incident data at Texas Transportation Management Centers
(TMCs). This research report documents the results from the case studies conducted using the procedures
outlined in the guidebook. Researchers examined the data collected from three Texas TMCs, which are
Houston’s TranStar, Austin’s Combined Transportation and Emergency Communications Center (CTECC),
and Fort Worth’s TransVISION. Researchers conducted six categories of analyses in this study – (a) analysis
of incident characteristics, (b) hot spot analysis, (c) incident impact estimation, (d) analysis of incident
management performance measures, (e) incident duration prediction, and (f) incident-induced congestion
clearance time prediction.
Researchers found that historical incident data can be effectively used to support incident management and
performance evaluation processes both reactively and proactively. Some procedures need to be automated to
be used efficiently in day-to-day operations. As such, various prototype tools, such as the incident duration
and incident-induced congestion clearance prediction tools, were developed during this study to facilitate and
automate the proposed methodologies. These prototype tools provided a platform for TxDOT to deploy the
research results in the future.
-
Format:
-
Funding:
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type: