<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20230707</CreaDate>
<CreaTime>11394900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>TravelTimeIndex_Maryland_MDOTSHA</resTitle>
</idCitation>
<idAbs>Maryland Travel Time Index (TTI) data consist of linear geometric features which represent annual traffic congestion for each hour within a 24-Hour period. This layer is symbolized using annual traffic congestion from the TTI PM Peak Hour which is 5PM.
Maryland TTI data is updated and publshied on an annual basis. This data is for the year 2017. This data was last updated in November 2018.
Last Updated: November 2018
For more information, contact MDOT SHA Geospatial Technologies, Email: GIS@mdot.maryland.gov Last Published: 11/08/2019, Publisher: J.Lloyd (jlloyd@mdot.maryland.gov)</idAbs>
<searchKeys>
<keyword>Travel Time Index</keyword>
<keyword>TTI</keyword>
<keyword>Maryland</keyword>
<keyword>MD</keyword>
<keyword>Statewide</keyword>
<keyword>Maryland Department of Transportation</keyword>
<keyword>MDOT</keyword>
<keyword>Maryland Department of Transportation State Highway Administration (MDOT SHA)</keyword>
</searchKeys>
<idPurp>Map / Feature Service of MDOT SHA Travel Time Index (TTI)</idPurp>
<idCredit>Maryland Department of Transportation (MDOT), Maryland Department of Transportation State Highway Administration (MDOT SHA), MDOT SHA Office of Planning &amp; Preliminary Engineering (OPPE), MDOT SHA Innovative Planning &amp; Performance Division (IPPD), MDOT SHA Geospatial Technologies (GIS@mdot.maryland.gov)</idCredit>
<resConst>
<Consts>
<useLimit>Publicly Available (Non-Restricted Access) / Data is provided "as is" without warranty</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
