"Over five million commercial trucks cross the United States-Canada Border each year. Trucks crossing the border in both directions carry $247.6 billion (2009) in goods. In addition, approximately 300,000 individuals cross the border each day, demonstrating its integral role as both an economic and social lifeline. Delays in processing people or goods at the border will result in traffic congestion that could have a negative impact on both countries’ economies and ways of life."
The U.S. and Canadian border delays have been estimated to cost $30 billion annually. Unfortunately, congestion continues to be a growing problem at land crossings worldwide, negatively impacting travelers and the ability for companies to move goods efficiently.
However, a report by the Eastern Border Transportation Coalition found that having accurate and current information on border wait times is the key to identifying solutions; whether they are infrastructure or border processing improvements. Luckily, real time traffic data is exactly what SMATS delivers.
How Does Traffic Data Help Border Queues?
So How does it Work?
Even one extra minute at inspection can cause miles of line up, amplifying the need for real time information sharing at borders. When travelers are not properly alerted of queue wait times, they are unaware of which line is the shortest and therefore most efficient. With travelers choosing crossing lanes based on a 'whim' the flow of traffic is unstable, causing frustration and stress for drivers and workers.
With SMATS sensors placed along the queue and iNode™ data analytics platform, you can accurately measure delay at the checkpoints. By knowing the expected wait time of each line, this information can be broadcast to travelers so they can plan their trip accordingly, minimizing overall delay. Additionally, border departments can use the information to match their service rate to the level of demand, further reducing delay as well as departmental costs for over or under staffing.