Roads have been shown to form a barrier effect that changes wildlife movements. Increased traffic volumes can further increase this barrier effect, depending on the specific species response to perceived risk. Farm-to-market (FM) 106 in Cameron County, Texas was recently upgraded to a two-lane road with shoulders and a 60-mph speed limit. To mitigate the expected increase in traffic and wildlife-vehicle collisions, especially of the endangered ocelot (Leopardus pardalis), Texas Department of Transportation constructed nine wildlife crossing structures (WCS) with short sections of exclusion fencing to funnel wildlife towards the entrances. Wildlife communities are monitored with camera trap arrays on both sides of each WCS to record all wildlife approaching or using the WCS. At the end of the exclusion fencing there are fence end (FE) cameras set up to capture movement of animals towards the WCS or towards FM106. In addition to the mitigation structure and fence end arrays, six right-of-way (ROW) sites were chosen between the exclusion fencing flanking each WCS. These ROW sites record species occurrence and complete crossings that occur outside the mitigation structures using cameras placed on either side of the roadway. To measure traffic volume, two traffic camera traps above the first and last WCS, capture the number of vehicles entering and exiting the FM 106 mitigation area. Our objectives were to: 1) determine if traffic volumes can be used to predict refusal rates at wildlife crossing structures; and 2) determine if traffic has a similar influence on use of fence ends and right-of-way sites. Traffic volume was measured in cars per hour and regression analyses were used to determine if measured traffic volumes were predictive of wildlife refusals at WCS, FE, and ROW. An ANOVA was run to determine if there were any differences between the number of refusals per traffic volume category at WCS versus FE and ROW. These results will help us determine which traffic volumes have the most influence on wildlife movement at WCS, FE, and ROW sites and which species are most tolerant of traffic.