Reviewing RTM results

Learn how to analyze and interpret RTM results using various tabs and filters to gain insights into vehicle metrics, operational characteristics, and Expansion Factors.

Note:

If you want to see more results, you can use the RTM API. Refer to our API guide for instructions on how to use the RTM API.

After running your analysis, you can have a better view of your results by doing the following:

Click the Expand icon in the top right corner of your results panel.
Filter the data by selecting the Vehicle filters dropdown.

Your results will be divided into four tabs: Overview, Zones List, Location Trends, and Expansion Factors.

RTM tabs

After running your analysis and reviewing your results, your results will be displayed in four tabs.

Overview: The Overview tab displays several metrics from your analysis, divided into three sections.
Zones List: The Zones List tab displays a table with metrics related to trips, vehicles, and idling.
Location Trends: The Location Trends tab displays graphs that offer a comparative overview of event activity distribution specific to each zone within your dataset.
Expansion Factors: Use the Expansion Factors tab to view reference locations to help you estimate ground-truth counts from Altitude counts.

Overview

The Overview tab displays several metrics from your analysis, divided into three sections.

Travel Distance and Idling Activity
Vehicle Characteristics
Vehicle Operational Characteristics

Travel Distance and Idling Activity

The Travel Distance and Idling Activity section displays key metrics on vehicle travel, that provide mobility insight and trends within the selected analysis region or regions.

The Travel Distance and Idling Activity section includes the following metrics:


Metric	Description
Vehicle Miles Traveled (Total)	The distance traveled by all the vehicles in the analysis (measured in miles).
Vehicle Count (Total)	The total number of unique vehicles in the analysis.
Trip Count (Total)	The total number of trips vehicles in the analysis.
Vehicles Idling (Total)	The total number of unique vehicles idling in the analysis.
Idling Duration (Total)	The total idle duration (minutes) at the end of a trip, or idling at the start of a trip. Mid-trip idling is not included.
Idling Duration (Average)	The average idle duration (minutes) at the end of a trip, or idling at the start of a trip. Mid-trip idling is not included.
Travel Distance by Roadways	A roadway usage breakdown that allows you to analyze how different types of roads contribute to overall mobility, congestion, infrastructure wear, and environmental impact.

Use the Top Zones by dropdown to view the zones that mostly contribute to each metric.

Vehicle Characteristics

The Vehicle Characteristics section displays physical attributes of the vehicles in the analysis, which can help you understand the operational capacities and how they impact transportation efficiency, maintenance needs, and environmental impact.

The Vehicle Characteristics section includes the following metrics:


Metric	Description
Vehicle Class (Total)	The VIN is used to determine the GVWR, which is then used to assess the vehicle classification.
Fuel Type (Total)	Fuel type is determined by the VIN and includes diesel, electric, flexible, gasoline, hybrid, other, and unknown.

Vehicle Operational Characteristics

The Vehicle Operational Characteristics section defines how the vehicles are used and the nature of their business applications. It helps reveal how the vehicles in the analysis are optimized (or not) for specific tasks, providing insights into utilization patterns and productivity.

The Vehicle Operational Characteristics section includes the following metrics:


Metric	Description
Industry (Total)	Vehicles are classified into groups based on the North American Industry Classification System (NAICS) codes. These classifications represent the fleet and vehicles that are operating and contributing data for your analysis.
Vocation (Total)	Vehicles are classified into groups based solely on vehicle usage patterns, independent of factors like industry, fleet ownership, or vehicle type. Vocation definitions may not align with other industry definitions.

Zones list

The Zones List tab displays a table with the following for each zone:

Vehicle Count (Total)
Trip Count (Total)
Idling Duration (Total)
Vehicles Idling (Total)
Idling Duration (Average)

Location trends

The Location Trends tab displays graphs that offer a comparative overview of event activity distribution specific to each zone within your dataset.

The Location Trends tab includes the following graphs:


Graph	Description
Vehicle Miles Traveled	The distance traveled by all the vehicles in the analysis measured in miles.
Vehicle Count	The aggregate number of vehicles observed for the road segment, given the applied filters.
Trip Count	The total number of trips in the analysis.
Idling Duration	The total idle duration (minutes) at the end of a trip, or idling at the start of a trip. Mid-trip idling is not included.
Vehicles Idling	The number of all unique vehicles idling along the road segments in the analysis.

Each Graph allows you to choose viewing options on the toolbar. The options vary depending on the graph and may include:

View by: Sort the information by different metrics or order.
Graph type: Select between bar chart or table view.

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.

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 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.

Altitude

Learn Altitude

Support