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Layer: Milepoints (0)

Name: Milepoints

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Description: A Milepoint represents the location along a CDOT highway where that highway's linear reference system indicates a whole number reference point (i.e., milepoints are whole number reference points, such as 57.000). Please note, mile posts are not necessarily found at milepoints. Milepoint features are represented by point geographic shapes. Bounding coordinates and feature counts reflect a statewide extent.

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Layer: Highways for Anno (1)

Name: Highways for Anno

Display Field: ROUTE

Type: Feature Layer

Geometry Type: esriGeometryPolyline

Description: Features in this dataset represent public highways that are maintained by and under the jurisdiction of the Colorado Department of Transportation. These highways consist of Interstates, US Highways, and State Highways, and are represented by polyline (linear) geographic shapes. These shapes have been generalized (some vertices removed) for simpler cartography at small map scales.

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Layer: Intersection Crash Patterns (2)

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• Impairment
• Lighting
• Road Condition
• Road Location
• Severity
• Weather
Name: Intersection Crash Patterns

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Layer: Contributing Factor (3)

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Layer: Driver 1-Driver Emotionally Upset (4)

Parent Layer: Contributing Factor

Name: Driver 1-Driver Emotionally Upset

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Description: LOSS is reported in this dataset only where crash patterns have been previously identified for highway segments and intersections. This product was produced in 2015 from crash data circa 2009 - 2013. LOSS is reported in levels 1 through 4 (1 = low potential for accident reduction, 2 = low to moderate potential for accident reduction, 3 = less moderate to high potential for accident reduction, 4 = high potential for accident reduction). LOSS values for total accidents may be the same as LOSS values for severity accidents, though the values can be different (e.g. LOSS total for a segment could be a 2 for Total LOSS and 3 for severity). LOSS values were determined using a cumulative probability threshold of 80th percentile and a minimum number of 5 crashes. Intersection locations were mapped using CDOT's 2013 linear referencing system. Approximately 927 out of 2457 records had no LOSS values reported. The database contains fields for LOSS Total and LOSS Severity (injury + fatal), and crash patterns by category.LOSS is calculated using DiExSys Vision Zero Suite (VZS). LOSS was generated using spreadsheets provided by David Swenka with CDOT. This dataset represents an interim product; new SPF models will soon be developed and will affect the LOSS. An additional task has already been identified to run LOSS statewide upon completion of the updated SPF models.

Copyright Text: DiExSys Visions Zero Suite (Jake Kononov & Bryan Allery), Evan Kirby, GISP with FHU, and David Swenka, Traffic Engineer with CDOT.

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Layer: Driver 1-Unknown Contributing Factor (5)

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Description: LOSS is reported in this dataset only where crash patterns have been previously identified for highway segments and intersections. This product was produced in 2015 from crash data circa 2009 - 2013. LOSS is reported in levels 1 through 4 (1 = low potential for accident reduction, 2 = low to moderate potential for accident reduction, 3 = less moderate to high potential for accident reduction, 4 = high potential for accident reduction). LOSS values for total accidents may be the same as LOSS values for severity accidents, though the values can be different (e.g. LOSS total for a segment could be a 2 for Total LOSS and 3 for severity). LOSS values were determined using a cumulative probability threshold of 80th percentile and a minimum number of 5 crashes. Intersection locations were mapped using CDOT's 2013 linear referencing system. Approximately 927 out of 2457 records had no LOSS values reported. The database contains fields for LOSS Total and LOSS Severity (injury + fatal), and crash patterns by category.LOSS is calculated using DiExSys Vision Zero Suite (VZS). LOSS was generated using spreadsheets provided by David Swenka with CDOT. This dataset represents an interim product; new SPF models will soon be developed and will affect the LOSS. An additional task has already been identified to run LOSS statewide upon completion of the updated SPF models.

Copyright Text: DiExSys Visions Zero Suite (Jake Kononov & Bryan Allery), Evan Kirby, GISP with FHU, and David Swenka, Traffic Engineer with CDOT.

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Layer: Driver 1-No Apparent Contributing Factor (6)

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Description: LOSS is reported in this dataset only where crash patterns have been previously identified for highway segments and intersections. This product was produced in 2015 from crash data circa 2009 - 2013. LOSS is reported in levels 1 through 4 (1 = low potential for accident reduction, 2 = low to moderate potential for accident reduction, 3 = less moderate to high potential for accident reduction, 4 = high potential for accident reduction). LOSS values for total accidents may be the same as LOSS values for severity accidents, though the values can be different (e.g. LOSS total for a segment could be a 2 for Total LOSS and 3 for severity). LOSS values were determined using a cumulative probability threshold of 80th percentile and a minimum number of 5 crashes. Intersection locations were mapped using CDOT's 2013 linear referencing system. Approximately 927 out of 2457 records had no LOSS values reported. The database contains fields for LOSS Total and LOSS Severity (injury + fatal), and crash patterns by category.LOSS is calculated using DiExSys Vision Zero Suite (VZS). LOSS was generated using spreadsheets provided by David Swenka with CDOT. This dataset represents an interim product; new SPF models will soon be developed and will affect the LOSS. An additional task has already been identified to run LOSS statewide upon completion of the updated SPF models.

Copyright Text: DiExSys Visions Zero Suite (Jake Kononov & Bryan Allery), Evan Kirby, GISP with FHU, and David Swenka, Traffic Engineer with CDOT.

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Layer: Driver 1-Driver Unfamiliar With Area (7)

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Description: LOSS is reported in this dataset only where crash patterns have been previously identified for highway segments and intersections. This product was produced in 2015 from crash data circa 2009 - 2013. LOSS is reported in levels 1 through 4 (1 = low potential for accident reduction, 2 = low to moderate potential for accident reduction, 3 = less moderate to high potential for accident reduction, 4 = high potential for accident reduction). LOSS values for total accidents may be the same as LOSS values for severity accidents, though the values can be different (e.g. LOSS total for a segment could be a 2 for Total LOSS and 3 for severity). LOSS values were determined using a cumulative probability threshold of 80th percentile and a minimum number of 5 crashes. Intersection locations were mapped using CDOT's 2013 linear referencing system. Approximately 927 out of 2457 records had no LOSS values reported. The database contains fields for LOSS Total and LOSS Severity (injury + fatal), and crash patterns by category.LOSS is calculated using DiExSys Vision Zero Suite (VZS). LOSS was generated using spreadsheets provided by David Swenka with CDOT. This dataset represents an interim product; new SPF models will soon be developed and will affect the LOSS. An additional task has already been identified to run LOSS statewide upon completion of the updated SPF models.

Copyright Text: DiExSys Visions Zero Suite (Jake Kononov & Bryan Allery), Evan Kirby, GISP with FHU, and David Swenka, Traffic Engineer with CDOT.

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Layer: Curb (14)

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Description: LOSS is reported in this dataset only where crash patterns have been previously identified for highway segments and intersections. This product was produced in 2015 from crash data circa 2009 - 2013. LOSS is reported in levels 1 through 4 (1 = low potential for accident reduction, 2 = low to moderate potential for accident reduction, 3 = less moderate to high potential for accident reduction, 4 = high potential for accident reduction). LOSS values for total accidents may be the same as LOSS values for severity accidents, though the values can be different (e.g. LOSS total for a segment could be a 2 for Total LOSS and 3 for severity). LOSS values were determined using a cumulative probability threshold of 80th percentile and a minimum number of 5 crashes. Intersection locations were mapped using CDOT's 2013 linear referencing system. Approximately 927 out of 2457 records had no LOSS values reported. The database contains fields for LOSS Total and LOSS Severity (injury + fatal), and crash patterns by category.LOSS is calculated using DiExSys Vision Zero Suite (VZS). LOSS was generated using spreadsheets provided by David Swenka with CDOT. This dataset represents an interim product; new SPF models will soon be developed and will affect the LOSS. An additional task has already been identified to run LOSS statewide upon completion of the updated SPF models.

Copyright Text: DiExSys Visions Zero Suite (Jake Kononov & Bryan Allery), Evan Kirby, GISP with FHU, and David Swenka, Traffic Engineer with CDOT.

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Description: LOSS is reported in this dataset only where crash patterns have been previously identified for highway segments and intersections. This product was produced in 2015 from crash data circa 2009 - 2013. LOSS is reported in levels 1 through 4 (1 = low potential for accident reduction, 2 = low to moderate potential for accident reduction, 3 = less moderate to high potential for accident reduction, 4 = high potential for accident reduction). LOSS values for total accidents may be the same as LOSS values for severity accidents, though the values can be different (e.g. LOSS total for a segment could be a 2 for Total LOSS and 3 for severity). LOSS values were determined using a cumulative probability threshold of 80th percentile and a minimum number of 5 crashes. Intersection locations were mapped using CDOT's 2013 linear referencing system. Approximately 927 out of 2457 records had no LOSS values reported. The database contains fields for LOSS Total and LOSS Severity (injury + fatal), and crash patterns by category.LOSS is calculated using DiExSys Vision Zero Suite (VZS). LOSS was generated using spreadsheets provided by David Swenka with CDOT. This dataset represents an interim product; new SPF models will soon be developed and will affect the LOSS. An additional task has already been identified to run LOSS statewide upon completion of the updated SPF models.

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Description: LOSS is reported in this dataset only where crash patterns have been previously identified for highway segments and intersections. This product was produced in 2015 from crash data circa 2009 - 2013. LOSS is reported in levels 1 through 4 (1 = low potential for accident reduction, 2 = low to moderate potential for accident reduction, 3 = less moderate to high potential for accident reduction, 4 = high potential for accident reduction). LOSS values for total accidents may be the same as LOSS values for severity accidents, though the values can be different (e.g. LOSS total for a segment could be a 2 for Total LOSS and 3 for severity). LOSS values were determined using a cumulative probability threshold of 80th percentile and a minimum number of 5 crashes. Intersection locations were mapped using CDOT's 2013 linear referencing system. Approximately 927 out of 2457 records had no LOSS values reported. The database contains fields for LOSS Total and LOSS Severity (injury + fatal), and crash patterns by category.LOSS is calculated using DiExSys Vision Zero Suite (VZS). LOSS was generated using spreadsheets provided by David Swenka with CDOT. This dataset represents an interim product; new SPF models will soon be developed and will affect the LOSS. An additional task has already been identified to run LOSS statewide upon completion of the updated SPF models.

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Layer: Parked Motor Vehicle (17)

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Description: LOSS is reported in this dataset only where crash patterns have been previously identified for highway segments and intersections. This product was produced in 2015 from crash data circa 2009 - 2013. LOSS is reported in levels 1 through 4 (1 = low potential for accident reduction, 2 = low to moderate potential for accident reduction, 3 = less moderate to high potential for accident reduction, 4 = high potential for accident reduction). LOSS values for total accidents may be the same as LOSS values for severity accidents, though the values can be different (e.g. LOSS total for a segment could be a 2 for Total LOSS and 3 for severity). LOSS values were determined using a cumulative probability threshold of 80th percentile and a minimum number of 5 crashes. Intersection locations were mapped using CDOT's 2013 linear referencing system. Approximately 927 out of 2457 records had no LOSS values reported. The database contains fields for LOSS Total and LOSS Severity (injury + fatal), and crash patterns by category.LOSS is calculated using DiExSys Vision Zero Suite (VZS). LOSS was generated using spreadsheets provided by David Swenka with CDOT. This dataset represents an interim product; new SPF models will soon be developed and will affect the LOSS. An additional task has already been identified to run LOSS statewide upon completion of the updated SPF models.

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Layer: Pedestrian (18)

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Description: LOSS is reported in this dataset only where crash patterns have been previously identified for highway segments and intersections. This product was produced in 2015 from crash data circa 2009 - 2013. LOSS is reported in levels 1 through 4 (1 = low potential for accident reduction, 2 = low to moderate potential for accident reduction, 3 = less moderate to high potential for accident reduction, 4 = high potential for accident reduction). LOSS values for total accidents may be the same as LOSS values for severity accidents, though the values can be different (e.g. LOSS total for a segment could be a 2 for Total LOSS and 3 for severity). LOSS values were determined using a cumulative probability threshold of 80th percentile and a minimum number of 5 crashes. Intersection locations were mapped using CDOT's 2013 linear referencing system. Approximately 927 out of 2457 records had no LOSS values reported. The database contains fields for LOSS Total and LOSS Severity (injury + fatal), and crash patterns by category.LOSS is calculated using DiExSys Vision Zero Suite (VZS). LOSS was generated using spreadsheets provided by David Swenka with CDOT. This dataset represents an interim product; new SPF models will soon be developed and will affect the LOSS. An additional task has already been identified to run LOSS statewide upon completion of the updated SPF models.

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Layer: Rear End (19)

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Copyright Text: DiExSys Visions Zero Suite (Jake Kononov & Bryan Allery), Evan Kirby, GISP with FHU, and David Swenka, Traffic Engineer with CDOT.

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Copyright Text: DiExSys Visions Zero Suite (Jake Kononov & Bryan Allery), Evan Kirby, GISP with FHU, and David Swenka, Traffic Engineer with CDOT.

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Copyright Text: DiExSys Visions Zero Suite (Jake Kononov & Bryan Allery), Evan Kirby, GISP with FHU, and David Swenka, Traffic Engineer with CDOT.

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Description: LOSS is reported in this dataset only where crash patterns have been previously identified for highway segments and intersections. This product was produced in 2015 from crash data circa 2009 - 2013. LOSS is reported in levels 1 through 4 (1 = low potential for accident reduction, 2 = low to moderate potential for accident reduction, 3 = less moderate to high potential for accident reduction, 4 = high potential for accident reduction). LOSS values for total accidents may be the same as LOSS values for severity accidents, though the values can be different (e.g. LOSS total for a segment could be a 2 for Total LOSS and 3 for severity). LOSS values were determined using a cumulative probability threshold of 80th percentile and a minimum number of 5 crashes. Intersection locations were mapped using CDOT's 2013 linear referencing system. Approximately 927 out of 2457 records had no LOSS values reported. The database contains fields for LOSS Total and LOSS Severity (injury + fatal), and crash patterns by category.LOSS is calculated using DiExSys Vision Zero Suite (VZS). LOSS was generated using spreadsheets provided by David Swenka with CDOT. This dataset represents an interim product; new SPF models will soon be developed and will affect the LOSS. An additional task has already been identified to run LOSS statewide upon completion of the updated SPF models.

Copyright Text: DiExSys Visions Zero Suite (Jake Kononov & Bryan Allery), Evan Kirby, GISP with FHU, and David Swenka, Traffic Engineer with CDOT.

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Copyright Text: Tabular data from VZS modeling provided by Bryan Allery with DiExSys. Spatial dataset generated by Evan Kirby, Associate with FHU - [email protected]

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