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Service Description: Data for 2020 and 2021 for traffic bottlenecks, average traffic speeds, planning time index, travel time index, interstate travel time reliability, and non-interstate travel time reliability to be used as part of the congestion management process (CMP). Data source is INRIX, University of Maryland CATT Lab and I-95 Corridor Coalition.
Map Name: CMP_202212
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Description: Data for 2020 and 2021 for traffic bottlenecks, average traffic speeds, planning time index, travel time index, interstate travel time reliability, and non-interstate travel time reliability to be used as part of the congestion management process (CMP). Data source is INRIX, University of Maryland CATT Lab and I-95 Corridor Coalition.
Copyright Text: INRIX, University of Maryland CATT Lab, I-95 Corridor Coalition, Baltimore Metropolitan Council.
Spatial Reference:
102685
(2248)
Single Fused Map Cache: false
Initial Extent:
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Spatial Reference: 102685
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Full Extent:
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YMin: 383739.1293565929
XMax: 1665888.9967601597
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Spatial Reference: 102685
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Units: esriFeet
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: CMP 2022 December
Author:
Comments: Data for 2020 and 2021 for traffic bottlenecks, average traffic speeds, planning time index, travel time index, interstate travel time reliability, and non-interstate travel time reliability to be used as part of the congestion management process (CMP). Data source is INRIX, University of Maryland CATT Lab and I-95 Corridor Coalition.
Subject: Data layers from 2020 and 2021 to be used as part of the congestion management process (CMP).
Category:
Keywords: BMC,Baltimore Metropolitan Council,transportation,traffic,bottleneck,Congestion Management Process,CMP
AntialiasingMode: Fast
TextAntialiasingMode: Force
Supports Dynamic Layers: true
MaxRecordCount: 20000
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Supported Query Formats: JSON, geoJSON, PBF
Supports Query Data Elements: true
Min Scale: 0
Max Scale: 0
Supports Datum Transformation: true
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