Zhang, L., Holm, P., & Colyar, J. (2004). Identifying and Assessing Key Weather-Related Parameters and Their Impacts on Traffic Operations Using Simulation (Report No. FHWA-HRT-04-131). United States. Federal Highway Administration. Office of Operations Research and Development. https://rosap.ntl.bts.gov/view/dot/40570
Zhang, Li, Peter Holm, and James Colyar. Identifying and Assessing Key Weather-Related Parameters and Their Impacts on Traffic Operations Using Simulation. Report no. FHWA-HRT-04-131. United States. Federal Highway Administration. Office of Operations Research and Development, 2004. https://rosap.ntl.bts.gov/view/dot/40570.
Zhang, Li, et al. Identifying and Assessing Key Weather-Related Parameters and Their Impacts on Traffic Operations Using Simulation. United States. Federal Highway Administration. Office of Operations Research and Development, 2004, Report no. FHWA-HRT-04-131, ROSA P. https://rosap.ntl.bts.gov/view/dot/40570.
The objectives of this study were to identify how weather events affect traffic operations, to assess the sensitivity of weather-related traffic parameters in the CORridor SIMulation (CORSIM) traffic microsimulation model, and to develop guidelines for using the CORSIM model to account for the affects of adverse weather conditions on traffic operations.
;
This report summarizes the methodologies, findings, and conclusions for each of these study objectives. A high-level conclusion from this project is that CORSIM can be used adequately to model the affects of weather events on traffic operations. This conclusion is based on the fact that a majority of the generic weather-related parameters identified are currently available in CORSIM, and that the key weather-related parameters are adequately sensitive in producing model outputs inline with that expected from adverse weather.
Zhang, L., Holm, P., & Colyar, J. (2004). Identifying and Assessing Key Weather-Related Parameters and Their Impacts on Traffic Operations Using Simulation (Report No. FHWA-HRT-04-131). United States. Federal Highway Administration. Office of Operations Research and Development. https://rosap.ntl.bts.gov/view/dot/40570
Zhang, Li, Peter Holm, and James Colyar. Identifying and Assessing Key Weather-Related Parameters and Their Impacts on Traffic Operations Using Simulation. Report no. FHWA-HRT-04-131. United States. Federal Highway Administration. Office of Operations Research and Development, 2004. https://rosap.ntl.bts.gov/view/dot/40570.
Zhang, Li, et al. Identifying and Assessing Key Weather-Related Parameters and Their Impacts on Traffic Operations Using Simulation. United States. Federal Highway Administration. Office of Operations Research and Development, 2004, Report no. FHWA-HRT-04-131, ROSA P. https://rosap.ntl.bts.gov/view/dot/40570.
ROSA P serves as an archival repository of USDOT-published products including scientific
findings, journal articles, guidelines, recommendations, or other information authored or co-authored by
USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to
ensure public access to scientific information.
Links with this icon indicate that you are leaving a Bureau of Transportation
Statistics (BTS)/National Transportation Library (NTL)
Web-based service.
Thank you for visiting.
You are about to access a non-government link outside of
the U.S. Department of Transportation's National
Transportation Library.
Please note: While links to Web sites outside of DOT are
offered for your convenience, when you exit DOT Web sites,
Federal privacy policy and Section 508 of the Rehabilitation
Act (accessibility requirements) no longer apply. In
addition, DOT does not attest to the accuracy, relevance,
timeliness or completeness of information provided by linked
sites. Linking to a Web site does not constitute an
endorsement by DOT of the sponsors of the site or the
products presented on the site. For more information, please
view DOT's Web site linking policy.
To get back to the page you were previously viewing, click
your Cancel button.