Atlanta, GA Urbanized Area Congestion Report
In the line graphs below, FHWA uses Data Collection Year instead of Data Reporting Year to represent snapshot condition/performance at the time the data was collected. More information
The Atlanta, GA Urbanized Area covers parts of Georgia. Targets are agreed upon by several transportation agencies and apply to the entire area.
Annual Hours of Peak-Hour Excessive Delay (PHED) Per Capita
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Annual Hours of Peak-Hour Excessive Delay (PHED) Per Capita 2021 2022 2023 2024 2025 Condition/Performance 14.4 -- -- -- -- Targets -- -- 23.7 -- 27.2
Annual Hours of Peak-Hour Excessive Delay (PHED) Per Capita
- Basis for Targets
- 2-yr Progress
- Basis for 4-yr Target Adjustment
- 4-yr Planned Activities
- 4-yr Progress
(Georgia) Target-setting approach for the second performance period was established by following the steps below •Gained an understanding of each PM3 measure’s definition and target setting requirements •Reviewed historical trends and insights from the first performance period (2016-2021), downloaded from RITIS Easy button •Established the target-setting approach for the second performance period by evaluating emerging trends, uncertainties, and constraints that may impact future performance. Time series forecasting with seasonal components accounts for noise from COVID impacts •Conducted benchmarking and peer comparisons •Reviewed the external (exogenous) factors. These factors are those that affect performance of the transportation system but are typically outside the control (at least operationally) of transportation agencies. •Reviewed the internal factors that affect transportation system performance and are under the control of transportation agencies. •Recommend targets.
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Data Sources:
Georgia 2022 Biennial Performance Report
Georgia 2022 HPMS Data Submittal
Non-Single Occupancy Vehicle (Non-SOV) Travel
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Non-Single Occupancy Vehicle (Non-SOV) Travel 2021 2022 2023 2024 2025 Condition/Performance 25.7 -- -- -- -- Targets -- -- 22.7 -- 22.7
Non-Single Occupancy Vehicle (Non-SOV) Travel
- Basis for Targets
- 2-yr Progress
- Basis for 4-yr Target Adjustment
- 4-yr Planned Activities
- 4-yr Progress
(Georgia) The non-SOV measure is computed as the percent of working population that do not drive alone to work in a car, van, or truck. Though a variety of data sources are available to calculate this measure, American Community Survey (ACS) Journey to Work data was used. ACS data is aggregated in five-year intervals. To avoid variations in data due to the COVID pandemic, the target was set using 2015-2019 ACS data.
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Data Sources:
Georgia 2022 Biennial Performance Report
Georgia 2022 HPMS Data Submittal