Origin and Destination results

View a detailed analysis of Origin and Destination results, with insights through various tabs and metrics to enhance understanding of the available data.

After running your analysis, you can have a better view of your results by clicking the Expand icon in the top right corner of your results panel. Your results are divided into three tabs: Overview, O/D Matrix, and Expansion.

Viewing an O/D analysis on the map

View an Origin and Destination analysis on the map by navigating through the results tab and selecting specific zones or multiple areas.

Once you have run your analysis, you will see a table with your Origin(s), Destination(s), and optional Connector(s) on the right-hand side of your results tab. To view the areas in your analysis on the map:

Ensure you are viewing the Origins, Destinations, and Connectors tab by clicking the location icon.
Click the name of any zone on the right-hand side panel to redirect to the map and view that area.
Click multiple Origins, Destinations, or Connectors on the right-hand side panel to view them on the map.

Overview tab

The Overview tab displays several metrics from your analysis: Journey Count, Vehicle Class Breakdown, Origins, Destinations, Connectors, Vocation Breakdown, and Industry Breakdown.

Overview metrics

The Overview tab displays the following metrics:


Metric	Description	Example
Journey Count	The number of journeys between the O/D pair that met the criteria of your analysis.
Route Analysis	The routes selected for an analysis between Origin and Destination. Click to view the Route Analysis queue.
Expansion Factors	The general expansion factor at a state level. Reference Locations are provided where available for closer estimates at a local level.
Origins, Connectors, and Destinations	The number of Origins, Connectors, and Destinations, respectively, that were included in the O/D analysis.
Vehicle Class	A pie chart that represents the percentage of journeys in your analysis that were performed by each vehicle class.
Vocation Breakdown	A pie chart that represents the percentage of journeys in your analysis that had each vocation.
Industry Breakdown	A pie chart that represents the percentage of journeys by industry as defined by the primary NAICS code. The primary NAICS code is determined by the fleet operating the vehicle that is contributing to the data.

O/D Matrix

The O/D Matrix tab displays a dropdown list of different datasets regarding your O/D pairs, presented in a matrix.

Metrics

The following metrics are available in the O/D Matrix tab:


Metric	Description
Journey Count - Percentage	The percentage of journeys between the O/D pair relative to the total amount of journeys for the entire analysis.
Journey Count - Total	The total number of journeys between the O/D pair.
Journey Count - Daily Average	The average daily number of journeys between the O/D pair.
Trips per Journey - Average	The average number of trips comprising the journey between the O/D pair. If no trip chaining factor was used, this value will be 1.
Trips per Journey - Median	The median number of trips comprising the journey between the O/D pair. If no trip chaining factor was used this value will be 1.
Distance - Average	The average distance traveled between the O/D pair (in kilometers or miles).
Distance - Median	The median distance traveled between the O/D pair (in kilometers or miles).
Distance - Std Dev	The standard deviation of the distance traveled between the O/D pair (in kilometers or miles).
Running Speed - Average	The average speed for all vehicles traversing between an O/D pair, excluding any time stopped (in kph or mph).
Running Speed - Median	The median speed for all vehicles traversing between an O/D pair, excluding any time stopped (in kph or mph).
Running Speed- Standard Deviation	The standard deviation of speed for all vehicles traversing between an O/D pair, excluding any time stopped (in kph or mph).
Travel Speed - Average	The average speed between the O/D pair including any time stopped (in kph or mph).
Travel Speed - Median	The median speed between the O/D pair including any time stopped (in kph or mph).
Travel Speed- Standard Deviation	The standard deviation of speed between the O/D pair including any time stopped (in kph or mph).
Journey Duration - Average	The average travel time between the O/D pair (in minutes).
Journey Duration - Median	The median travel time between the O/D pair (in minutes).
Journey Duration- Standard Deviation	The standard deviation of the travel time between the O/D pair (in minutes).
Idling Duration - Average	The average time spent idling between the O/D pair (in minutes).
Idling Duration - Median	The median time spent idling between the O/D pair (in minutes).
Idling Duration- Standard Deviation	The standard deviation of the idling time between the O/D pair (in minutes).
Time at Destination - Average	The average amount of time spent at the destination until the next journey (in minutes).
Time at Destination - Median	The median amount of time spent at the destination until the next journey (in minutes).
Time at Destination - Standard Deviation	The standard deviation of the amount of time spent at the destination until the next journey (in minutes).
Intra-Journey Stop Duration - Average	The total stop time between trips that comprise a journey (in minutes). If no trip chaining factor was used, this value will be 0.
Intra-Journey Stop Duration - Median	The median of the total stop time between trips that comprise a journey (in minutes). If no trip chaining factor was used this value will always be 0.
Intra-Journey Stop Duration - Standard Deviation	The standard deviation of the total stop time between trips that comprise a journey (in minutes). If no trip chaining factor was used this value will always be 0.

Important:

If the analysis includes some overlapping zones of the same role, or if there are zones set to passthrough, there is potential for overcounting in the data. If a journey starts or ends in an overlapping zone, the journey counts towards all applicable O/D pairs, because they are overlapping with one another throughout the journey. If this is an issue for your analyses, consider breaking your analyses into multiple views to avoid overlapping. This impacts counts and percentage % metrics. It may impact the interpretation of this metric as percentages are viewed as a proportion of the entire analysis.

Reminders

When viewing the O/D Matrix tab, remember the following:

At the top of each matrix, a colored legend describes what numerical values the colors on the matrices represent.
A blank spot on the matrix means that, due to our privacy filters, there is insufficient data between the O/D pair.
The middle diagonal of each matrix represents journey's where the Origin and Destination are the same. If you do not wish to view these pairs, switch off the Origin = Destination option, located at the top of the screen.
Hovering over a cell reveals a popup that tells you to which Origin and Destination it is attached, as well as the value it has for the metric you are viewing.
The last Destination column and the last Origins row indicates the Sum. The Sum represents the sum of Origins and Destinations that are contributing to most traffic or journeys. This is used to understand which Origins and Destinations have the most activity. The Sum is applied to the Journey Count, under Percentage, Total, and Daily Average. Hover over the cell of the last row or column to get a tooltip of quick statistics.
Clicking a cell pulls up the map with the O/D pair labeled and an animated arrow representing the journeys between that O/D pair. Origins are displayed on the map in blue, while Destinations are displayed in orange. To view more information about the O/D pair, click View details.

Exporting data from a single O/D pair

Export data from a specific O/D pair into a CSV file using the O/D Matrix tab.

To save the data from a specific O/D pair as a file:

Ensure you are on the O/D Matrix tab.
Click the coordinate that corresponds to your O/D pair of interest on any of the matrices.
Click View details.
Click the Download icon.
Select Export current O/D pair data (CSV).

Exporting data from all O/D pairs

Export data from all O/D pairs in your analysis to a CSV file, using various export options.

To save the data from all O/D pairs in your analysis as a file:

Click the Download icon on either the Overview or O/D Matrix tab.
Select Export all data (CSV), Export O/D data (CSV) or Export Expansion Factors data (CSV), depending on the amount of information you want to download.

Expansion Factors

The Expansion Factors tab displays reference locations to help you estimate ground-truth counts from Altitude counts.

By default, the map shows your purchased datasets. From the table filters, you can select the Specificity of expansion: State or Counties.

State and county level Expansion Factors are derived using a weighted average across road segments within each state or county. Aggregations are grouped based on road types and vehicle groups. View the Expansion Factors: Technical White Paper v3.0 for more information. Altitude Expansion Factors tab showing state and county selection menu

State: When you select State, the table displays information for all states included in your purchased datasets. Select a state from the map or the table to view details. States with limited data have a warning pill, as the expansion for them is done by referencing expansion factors from adjacent states.
Counties: For Counties, you must select each state you want to view from the dropdown menu. Toggle States with purchased datasets only to OFF to view all states. Click any county from the list after selecting a state to open a side window that provides expansion insights. Click View state for state details.

Note:
Expansion Factors are only available in the USA.

Viewing Expansion Factors on the map

View the Reference Locations from the Expansion Factors table on the map. Each letter on the map corresponds to the letter and location from the table.

To view the expansion factors on the map:

Navigate to Datasets > Expansion Factors from the main menu.
Select a County or click an Expansion Factor on the map.
- Below Specificity of expansion (USA only):, select Counties. Select a County from the list.
- Click an Expansion Factor on the map.
  Note:
  Once you click on a row in the table or an expansion factor on the map, the state details window automatically updates.

View a hover card that outlines the ID, Heavy Duty Vehicles Expansion Factors, and Confidence Interval (CI) 95% insights. Expansion Factors results showing a 16.8x expansion factor for a selected location

Expansion Factors results showing a 16.8x expansion factor for a selected location

Expansion Factors table

View county expansion factors to help you estimate ground-truth counts from Altitude counts. This table is not filtered by input filters, as the ground-truth reference data is structured differently. For more information about Expansion factors, visit Expansion Factors 3.1.


Header	Description
Road Type	Displays the type of road the reference location is counting vehicles on.
Expansion Factor (Universal)	Displays multipliers that can be used to scale counts reported in Altitude to estimated ground-truths.
CI 95% (Universal)	Displays the Confidence Interval (CI) for an expansion factor with a 95% confidence level.
Expansion Factor (Medium-duty vehicles)	Displays the expansion factor for commercial medium-duty vehicles. Note: This category is not part of Altitude filters outside of Expansion.
CI 95% (Medium-duty vehicles)	Displays the CI for commercial medium-duty vehicles.
Expansion Factor (Heavy-duty vehicles)	Displays the expansion factor for commercial heavy-duty vehicles. Note: This category is not part of Altitude filters outside of Expansion.
CI 95% (Heavy-duty vehicles)	Displays the CI for commercial heavy-duty vehicles. Note: This category is not part of Altitude filters outside of Expansion.

Viewing state details

View state details and access state expansion insights.

To view state details:

Navigate to Datasets > Expansion Factors from the main menu.

State details window

View state factors to help you estimate ground-truth counts from Altitude counts. The state details window displays the following:


Header	Description
Counties	Displays all counties within the selected State for analysis.
Reference Year	Select between 2023 or 2022 data.
Filter	Ability to filter the state details for Vehicle class and Road type.
ID	Identification number assigned to the counties.
Expansion Factor	Displays multipliers that can be used to scale counts reported in Altitude to estimated ground-truths.
CI 95%	Displays the Confidence Interval (CI) for an expansion factor with a 95% confidence level.
Marketshare est.	The estimated percent of market share Altitude has at the geography compared to ground-truth data.
Expansion factor (Medium-duty Vehicles)	Expansion factor for activity occurring with commercial medium-duty vehicles.
Expansion factor (Heavy-duty Vehicles)	Expansion factor for activity occurring with commercial heavy-duty vehicles.
Statistical Fit	Level of fit Fit of Altitude movement insights to ground-truth reference data at the specific reference location. This is based on R-squared. To learn more about this insight, see Expansion Factors 3.1 . Error measures (MAPE) Mean Absolute Percentage Error (MAPE) is the measurement of the error between counts calculated using the expansion factor and the actual ground-truth.
Location details	Parent geography Displays the Reference Location County.
Ground-truth reference data	A dataset that is referenced against in Altitude to create expansion factor multipliers. For more information about this insight, see Expansion Factors 3.1.

Expansion Factors 3.1

Understand how Expansion Factors are calculated using various datasets and their application across different road types and vehicle groups.

Note:

For step-by-step instructions on using Expansion Factors in the platform, see Expansion Factors in the User Guide.

Note:

Expansion Factors are only available in the USA.

Expansion factors are multipliers used to estimate traffic volumes for various time periods based on Average Annual Daily Traffic (AADT) values. These values are derived from Geotab's telematics devices, which represent Geotab's market share, and from AADT modeling, which represents the entire market.

In the context of Altitude commercial traffic volume, an expansion factor provides a reasonable estimate of the overall traffic population. When applied as a multiplier to the aggregate volume data collected by Geotab, it offers a reliable approximation of general traffic volumes as displayed on our platform.

At present, Expansion Factors are available for the year 2022 and 2023 at standard geographical levels such as State and County.

Data Sources

Expansion Factors are calculated based on the following datasets:

Observed AADT Values: Derived from Geotab's telematics devices on road segments.
Predicted Market AADT: Derived from AADT model developed by Altitude by Geotab.
IHS Vehicle Registration Data: Used to calculate the ratio of commercial heavy-duty and medium-duty vehicles across the US.

Road type coverage

Expansion Factors are aggregated from AADT data for the following road types:


Road Type Categories (in Altitude)	Road Types (same as OpenStreetMap Highway values)	Description
Arterials	Trunk Primary Secondary Tertiary	Trunk roads Primary roads Secondary roads Tertiary roads
Highways	Motorways	Motorways

Vehicle Groups

Expansion Factors are provisioned for each of the following vehicle classification groupings:

Universal: Use to estimate the total market size across all vehicle types including commercial and non-commercial.
Heavy: Use to estimate the market size specifically for commercial heavy-duty vehicles.
Medium: Use to estimate the market size specifically for commercial medium-duty vehicles.

State & County level Expansion Factors

State and county level Expansion Factors are derived using a weighted average across road segments within each state or county. Aggregations are grouped based on road types and vehicle groups.

Expansion Factors not available

Expansion Factors are provided only when they meet defined filters. If an Expansion Factor is not available for a specific zone level (such as a county), it is estimated using the appropriate state-level Expansion Factor. Every state in the US has 2022 and 2023 Expansion Factors.

Segments with expansion factors that exceed 500 (or represent less than 0.2% market share) are excluded from the aggregation algorithm due to insufficient coverage by Geotab.

Canadian Expansion Factors are not currently available. If Canadian Expansion Factors are important for your business, please reach out to Altitude Support or talk to your account advisor at Altitude by Geotab.