A summary of Urban SDK's Traffic Volume Range Data specification.
1.0 Introduction
Traffic Volume metrics are calculated based on Urban SDK's Traffic Volume model and quantify the number of vehicles that travel along a segment of road. The data is processed to calculate the following metrics:
- Traffic Volume (AADT range)
- Vehicle Miles Travelled (VMT range)
2.0 Methodology
Data Collection
Urban SDK leverages data inputs from public Permanent Count Stations (PCS) as well as Location-Based Services (LBS) data to develop a model to estimate a single value traffic volume (AADT), rounded to the nearest 100th, on every segment of road.
Data Processing
Urban SDK develops and maintains its own Traffic Volume model to estimate AADT. The model takes inspiration from FHWA's AADT methodology, however while FHWA uses simple equations, weights, or regression models, Urban SDK uses more complex statistical models and machine learning. This offers the ability iterate, learn, improve, and expedite predictive AADT outputs. This is an iterative approach that strives to produce the lowest mean average deviation (MAD) for factored AADT.
Traffic Volume (AADT Range)
Traffic Volume quantifies the estimated Average Annual Daily Traffic (AADT) volume along a segment of road. This is a daily value provided annually as a sum of traffic along the road.
The data uses the following rounding rules to output the single value:
Volume Range | Rounding Applied |
0-1,999 | Rounded to the nearest 100 |
2,000-9,999 | Rounded to the nearest 500 |
10,000-29,999 | Rounded to the nearest 1,000 |
30,000+ | Rounded to the nearest 5,000 |
💡Tip: The AADT model developed for estimating Traffic Volume leverages machine learning to improve and enhance the accuracy of results based on new traffic counts and features that are continuously adjusted by Urban SDK's data scientists to reduce the Mean Average Error (MAE) of output results.
Vehicle Miles Travelled (VMT Range)
Vehicle Miles Travelled quantifies the estimated upper and lower range of annual vehicle miles travelled along a segment of road. This is an annual value provided as a sum of miles travelled.
- Vehicle Miles Travelled: The Average Annual Daily Traffic (AADT) is multiplied by the road segment length and the product is multiplied by 365 days.
Vehicle Miles Travelled = AADT * (Road Segment Length) * 356 Days
The following bins are used to represent annual VMT ranges within the data specification:
bin_id | bin_name |
1 | 1 - 14,999 miles |
2 | 15,000 - 22,499 miles |
3 | 22,500 - 29,999 miles |
4 | 30,000 - 37,499 miles |
5 | 37,500 - 44,999 miles |
6 | 45,000 - 54,999 miles |
7 | 55,000 - 64,999 miles |
8 | 65,000 - 79,999 miles |
9 | 80,000 - 99,999 miles |
10 | 100,000 - 149,999 miles |
11 | 150,000 - 249,999 miles |
12 | 250,000 - 499,999 miles |
13 | 500,000+ miles |
3.0 Data Specification
Metadata Fields
Metadata fields that are provided for all data are detailed in Urban SDK's Linear Referencing System (LRS) specification.
Data Fields
The following table is the format in which downloaded Traffic Volume data will be provided:
Field | Type | Description |
year |
integer | The year associated with the provided data. |
data_value |
string |
Identifies which data is provided:
|
bin_id |
integer | ID for the Traffic Volume and VMT bins used to categorize data. |
bin_name |
string | String that concatenates the lower and upper data values as one string (i.e. "2,000-4,999") |
bin_lower |
integer | Lower numeric value of the data bin. |
bin_upper |
integer | Upper numeric value of the data bin. |
💡Tip: The nature of developing a model to estimate Traffic Volume results in a range of accuracy. For convenience a lower and upper range for volume and VMT values are provided for added context on the expected range of activity that is estimated along a segment of road.