This project provides an in-depth assessment of market-available connected vehicle data in border crossing time estimation. Given the project’s findings, these data can be a potential and promising data source for monitoring border crossing times, especially as sample penetration rates improve.
by Okan Gurbuz
With the recent introduction of the Delta variant of the COVID-19 virus, opening the world back up to regular commerce and human interaction has once again become problematic. Although global vaccine distribution continues at a healthy pace, how quickly mask mandates are lifted and businesses are open continue to be regulated at the local level in the United States. This lack of a central controlling authority — and the reliable regulation of interactions such direction would facilitate — further complicate getting the COVID-19 pandemic under control.
This report looks at using passively collected data as an economical means for agencies to accurately estimate traffic volume data. Researchers examined the accuracy of probe-based annual average daily traffic (AADT) estimates in two study areas: (a) at Texas-Mexico border crossings, and (b) on counted Texas roadways that are in proximity to the Mexican borders.
Associate Research Engineer Alfredo Sanchez with TTI’s Center for International Intelligent Transportation Research talks about the value of collecting private and commercial data at the border to better estimate border wait times. Knowing how long it takes people and goods to cross the border can impact tourism and how much consumers pay in stores. | View the Video
In the transportation research business, we use the term “performance measurement” when we measure how a certain aspect of our transportation system is operating. For example, through crash reporting we can tell you with certainty how safe a road is operating, or, through commute times, how well traffic is flowing. Safety and mobility of a roadway are fairly easy to determine. [Read more…] about Taking Border Performance to the Next Level