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Altitude by Geotab’s recent analysis of Charleston, South Carolina demonstrates the vast potential of commercial vehicle data for assessing regional transportation networks and identifying hidden issues. Measuring overall transportation efficiency by studying key terminal movement trends, our analysis looked at how commercial motor vehicle (CMV) traffic moved to and from Wando Welch, North Charleston, Columbus Street and Union Pier. This article will detail our study’s start-to-finish process, ranging from its parameters to what the findings indicated.
The goal of our Charleston research was to contextualize the CMV movement across South Carolina’s largest city and determine the state of regional transportation as a whole. We additionally wanted to see which terminals in the area experienced the most CMV activity and where trucks were most frequently headed.
Our study used Origin & Destination data collected from nearly 80,000 different CMV devices and roughly 3,800 fleets. The transportation analytics showed that an average of 7.2 million trips were made monthly throughout the entire state of South Carolina, which amounted to about 232,000 trips per day. A total of 66 million vehicle miles were traveled by Geotab-tracked commercial or freight vehicles in our study. We estimated that these miles represented about 15% of the area’s total CMV movement.
South Carolina’s CMV data was additionally segmented by classes and vocations for extra context. These breakdowns are featured below:

By using a large sample size of data and identifying the nuances between South Carolina’s CMV classes and vocational breakdowns, we supported this study with context that would help explain its later observations.
Of the four main terminals located in the Charleston area, the further apart terminals of North Charleston and Wando Welch were seen to have the most commercial vehicle activity. Meanwhile, in comparison, the more centralized Union Pier and Columbus Street terminals were less busy. Our Expansion Factors allowed us to extrapolate these CMV insights across the region’s entire commercial vehicle population.

CMV traffic around each terminal significantly varied by day. Monday through Thursday had the highest regular traffic totals, while Saturdays and Sundays experienced the largest decreases in movement.

After analyzing the Charleston region’s CMV travel as a whole, we got more granular with our study and focused on terminal-specific activity.
Wando Welch Terminal is located slightly northeast of downtown Charleston in Mount Pleasant, South Carolina. Our analysis observed that 91% of trips starting from this terminal would find themselves having a first stop somewhere within South Carolina.

The primary departure routes from Wando Welch were observed as heading north-westbound and north-eastbound. With limited routing options headed directly to Charleston due to the Wando River, these departure roads are critical to the port authority’s commercial distribution strategy.
CMVs with Wando Welch as their destination primarily took the I-26 to U.S. Highway 17 route to get from northern Charleston to Mount Pleasant. The Wando Welch Terminal’s impact on Charleston city traffic was observed to be not as significant as that of other ports in the region, likely because the aforementioned primary routes to and from Wando Welch do not cut directly through Charleston’s downtown district.


Unlike Wando Welch, the Columbus Street and Union Pier terminals are both located on the Charleston peninsula. Roughly 94% of CMVs departing from these port authorities were seen to have first stops within South Carolina.

When moving freight or commercial goods, vehicles leaving the ports primarily travel throughout the city of Charleston. While there are only two main routes available for Wando Welch vehicles to take, there are a wider mix of arterial routes and urban streets that Union Pier and Columbus Street CMVs can choose. This diverse selection of roadways is visualized below:

It’s no surprise that due to their central locations on the eastern side of Charleston, CMV movement from these terminals has a much greater effect on overall downtown traffic patterns. CMV activity hotspots were observed near The Citadel, parallel to Bay Street (heading to and from Mazyck Wraggborough) and within the arterial routes near Meeting Street in North Charleston. Our five vehicle types also represented larger percentages of Charleston’s total traffic in this version of the model.

Based on the results our analysis extracted, the port authorities on the Charleston peninsula had a more significant effect on city traffic than the Wando Welch terminal across the river, despite their lower overall CMV activity. The most critical roads for CMVs traveling throughout the region were the U.S. Route 52 and U.S. Route 17.
By conducting similar studies specific to their regions, transportation planners and policymakers can visualize the traffic effects of CMV travel in their states. Comparing volume year over year, congestion patterns and travel times helps agencies measure the effects of new traffic-easing strategies they’ve championed.
Interested in learning more about how CMV data can help you strengthen your transportation planning efforts? Schedule a free demo of our Altitude platform.
Altitude’s analysis tracked an average of 7.2 million CMV trips per month across South Carolina, which works out to roughly 232,000 trips per day. The study pulled data from nearly 80,000 CMV devices across about 3,800 fleets, covering an estimated 15% of total commercial vehicle movement in the area.
North Charleston and Wando Welch see the most commercial vehicle activity of the four main terminals in the Charleston area. The more centrally located Union Pier and Columbus Street terminals are noticeably less busy by comparison.
Origin and Destination data tracks where commercial vehicles start and end their trips, making it possible to map real movement patterns across a region. In the Charleston study, Altitude used this data alongside Expansion Factors to estimate CMV trends beyond just the tracked sample and get a fuller picture of how port terminal traffic ripples through the wider road network.