Conclusion

POET-ML employs both quantitative analyses and qualitative reality checks so that HOV operators can select the best set of policy adjustments for their region. This tool is designed to be flexible enough to allow a user with little information to gain a comprehensive understanding of the current operational effectiveness of a specific HOV facility and to evaluate the impacts of potential policy changes. HOV operators with more extensive input data, and a motivation for more customized results, will be granted access to a number of model assumptions in order to account for regional variation. However, the ultimate goal of this tool is to provide a sketch-level planning analysis of proposed HOV policy adjustments. More detailed analysis is recommended prior to implementation of any of the policy changes seen in this tool.

December 2008
FHWA-HOP-09-031