Over the past years the volume of traffic rushing over the freeways of the Los Angeles area has increased, as evidenced by the longer commute time and the seemingly endless hours people spend in traffic jams. These hours spent sitting behind the wheel of a stopped car represent lost and wasted time. A driver is repeatedly switching radio stations trying to determine a route out of a traffic snarl. The mere anticipation of a traffic jam can lead people to leave for work an hour earlier than necessary in an attempt to avoid such time-consuming problems, rather than making breakfast for the family or walking children to the bus stop. Imagine these scenarios played out every morning and afternoon for thousands of drivers across the Los Angeles area. The result is the loss of hundreds of work hours and depleted recreational and family time. A society that takes appropriate steps to remedy such a detrimental situation cannot help but improve itself overall. Towards this goal, this paper will examine the analysis thus far of the Average Annual Traffic Data provided by the California Department of Transportation. First the data and the manipulations to the data will be described. Then trends in the data will be examined, after which appropriate models will be examined to describe the increase in traffic volume seen over the last decade and a half. Such a model would be a useful tool in focusing limited transportation resources by attempting to predict future traffic growth patterns based on past observations. The purpose of this report is to act as a stepping stone for further analysis of traffic growth patterns on the Interstate 5 freeway. As this is an ongoing research, it is in hope that this paper will help further understanding of the data.