Traffic and Congestion

Collected by member local governments and the Oklahoma Department of Transportation, traffic count data compiled by ACOG depicts traffic volume on major roads in the region.

Traffic Data Collection, Analysis

Collected by member local governments and the Oklahoma Department of Transportation, traffic count data compiled by ACOG depicts traffic volume on major roads in the region.

Traffic and crash data are collected annually and compiled in various computerized transportation files at ACOG. Through the use of in-house data processing facilities, the MPO has refined its database management capabilities. These tools have allowed for quicker response to inquiries and more efficient processing of data.

Regional Crash Analysis and Travel Time Data
An ongoing analysis of regional crash data is helping to point out troublesome hotspots, while travel time data helps to paint a more detailed picture of traffic congestion on busy roads than traffic counts alone.

Regional Snow Routes
Regional snow routes are an effort by ACOG and multiple municipal, county, and state-wide agencies to develop an annual map of roadways that are the highest priority for resources during inclement weather.

Traffic Counts


Functional Class

Functional classification is a system for categorizing streets and highways based on the character of service they provide. Streets are divided between urban and rural functional road classifications using the Census designated urbanized area. Streets are further divided into arterials, collectors, and local streets based on street functions, land accessibility, and traffic mobility.

  • Arterial Streets: longest trip distances, highest degree of mobility with minimum direct land access (Interstates, freeways, expressways, and principle arterials)
  • Collector Streets: balance between land access and mobility, generally distributes trips to and from the arterials
  • Local Streets: shortest trip distances, highest level of access with limited mobility (neighborhood streets)


Transportation Modeling

A key part of understanding what modifications need to be made to the region’s transportation network today is predicting the demands that future development will place on the system. ACOG uses the well-established and thoroughly-vetted Travel Demand Forecasting process to make these predictions. As it progresses through its five phases, this process uses basic information about people and employment to determine how many trips will be generated, where they will go, which mode they will use, and which route they will take, with reasonableness checks performed throughout.


Where do people live, and where are employment centers? This data is collected from the US Census and other sources, and is typically compiled and used at the Traffic Analysis Zone (TAZ) level. Click here to view the 2010 OCARTS TAZ map.

What does the current transportation network look like? All major roads in the region are mapped and stored with attributes describing their capacity, number of lanes, direction of travel, etc. The network can, of course, be modified to test different scenarios.

Trip Generation

How many trips will a given TAZ produce, and how many will it attract? Demographics including income and household size are used to calculate trip productions, while the quantity and characteristics of employment centers are used to calculate trip attractions.

Trip Distribution

Where will produced trips go, and where will attracted trips come from? This phase uses a formula analogous to Newton’s law of gravitation to link productions to attractions.

Mode Split

Which form of transportation will the trip use? In this region, an overwhelming majority of predicted trips will be by car.


Which specific route will the trip take? This final phase factors in distance, congestion, and other costs to route trips from the producing TAZ to the attracting TAZ using the transportation network.

Staff Contact

Kathryn Wenger
Program Coordinator

Oklahoma City Memorial Marathon

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