Labels

Labels making it easier to organize and manage projects. These labels appear in billing records, making costs easier to track, and they are also searchable, helping you quickly retrieve past projects by label. By tagging studies with meaningful labels, you can maintain consistency across projects and streamline both reporting and project management.

To create a label for your study:

1. Click on settings

1. Go to labels:

1. Write in the following fields:

• The name of your label
• The value
• The color

1. Once the fields have been written then click the add button

To assign/ label to a study, first go to the tab labels under the results of your study then:

1. Click on assign label

1. Type in the name of the label, its value, in addition to selecting a colour.

1. Click Add/Create.

To assign a label that has already been created, simply search for the name of the label under “Name.”

Once you have added or selected your name label, its value and colour, it will appear on the following screen. All your labels can be searched by label or the value assigned to it.

Note that all of the labels you have created can be found in the following locations:

• The Info tab when viewing your study results,
• Settings page
• Home page.

Traffic stats default usage limits

iNode Traffic Stats Module has built-in usage limits to ensure fair access and optimal system performance. You are allocated a defined number of credits, time-set comparisons, and API calls. These limits help manage processing load while still supporting a wide range of traffic studies, from simple route analyses to larger area-wide evaluations.

Route traffic stats study limits

Area traffic stats study limits

Traffic Stats credit calculation

iNode uses an on-demand credit model to track distance-based usage. One iNode credit equals one mile (1.61 km). For example, 2,000 miles requires 2,000 credits, while 2,000 kilometers converts to 1,242 credits.

How total road network length is calculated

The total number of kilometers (or miles) in Traffic Stats is calculated as follows:

(Sum of route lengths or area network length) x number of date ranges

Example:

• Route: 2 routes × 5 miles
• Number of Date Ranges: 3
• Credit Usage: (5+5) miles × 3 = 30 credits

Volume estimation

For Traffic Volume Estimation, the formula above (how total road network length is calculated) is augmented with "shadow studies" that the system uses to establish baseline patterns.

What are shadow studies?

Shadow studies are automatically generated when the selected date range spans different day types (weekday vs. weekend) or crosses month boundaries.

To ensure accurate traffic volume modeling, the system requires representative probe samples for:

• Weekdays (Mon–Fri)
• Weekends (Sat–Sun)
• Each month included in the study

If a selected date range spans multiple days that include both weekdays and weekends, or spans multiple months, the system automatically generates additional shadow studies. Each shadow study consumes credits equal to the user-defined route length.

Shadow study examples

Below are examples illustrating how shadow studies are generated based on the selected date range and how credits are applied in each scenario.

1. Date Range Includes Only Weekdays or Only Weekends

• Route: 1 mile
• Date Range: May 5–9, 2025 (Weekdays only)
• Shadow Studies Generated:
• May 5–9 (Weekdays) → 1 credit
• → +1 credit

1. Date Range Includes Weekdays and Weekends

• Route: 1 mile
• Date Range: May 5–12, 2025 (Weekdays and Weekend)
• Shadow Studies Generated:
• Weekday (May 5–7): 1 mile
• Weekend (May 10–11): 1 mile
• → +2 credits

1. Date Range Spans Multiple Months

• Route: 1 mile
• Date Range: April 1 – May 1, 2025 (Weekdays only)
• Shadow Studies Generated:
• April Weekday
• May Weekday
• → +2 credits

1. Date Range Spans Multiple Months and Includes Both Weekdays & Weekends

• Route: 1 mile
• Date Range: April 1 – May 1, 2025
• Shadow Studies Generated:
• April Weekday
• April Weekend
• May Weekday
• May Weekend
• → +4 credits

1. 1-Year Date Range (e.g., AADT Analysis)

• Route: 1 mile
• Date Range: Full 12 months
• Days Covered: Weekdays and Weekends
• Shadow Studies Generated:
• 12 date ranges for each month (Weekdays)
• 12 date ranges for each month (Weekends)
• → +24 credits

Table of contents

• Labels
• Traffic stats default usage limits
• Route traffic stats study limits
• Area traffic stats study limits
• Traffic Stats credit calculation
• How total road network length is calculated
• Volume estimation
• What are shadow studies?
• Shadow study examples