The American Transportation Research Institute (ATRI) has released its 12th annual list highlighting the most congested bottlenecks for trucks in America.
The 2023 Top Truck Bottleneck List measures the level of truck-involved congestion at more than 300 locations on the national highway system.
For the fifth year in a row, the intersection of I-95 and SR 4 in Fort Lee, N.J., is the top freight bottleneck in the U.S. The top three includes Chicago: I-294 at I-290/I-88 and Houston: I-45 at I-69/US 59.
Since 2002, the American Transportation Research Institute (ATRI) has collected and processed truck GPS data in support of numerous U.S. DOT freight mobility initiatives. Utilizing an extensive database of freight truck GPS data, ATRI develops and monitors a series of key performance measures on the nation’s freight transportation system. Among its many GPS analyses, ATRI converts its truck GPS dataset into an ongoing truck bottleneck analysis that is used to quantify the impact of traffic congestion on truck-borne freight at over 300 specific locations. While other outside analyses may identify congested corridors, no dataset available today specifically identifies granular chokepoints in the nation’s truck freight transportation system.
Measuring the performance of freight movement across our nation’s highways is critical to understanding where and at what level investments should be made. The information provided through this research empowers decision-making in both the private and public sectors by helping stakeholders better understand how congestion and delays constrain mobility on the U.S. highway transportation system. ATRI’s annual bottleneck list provides a clear roadmap to guide investment decisions as the nation capitalizes on the new Infrastructure Investment and Jobs Act to address the nation’s supply chain challenges.
This map contains the top 100 bottleneck locations in rank order. You can view an individual congestion profile by clicking on each location’s hyperlink. The table can also be sorted by clicking the header in each column.