TTI researchers evaluated contact-tracing apps, a commonly used practice to slow down the spread of COVID-19, with a focus on the El Paso-Juarez region. Taking advantage of mobile technology is expected to help in transitioning back to daily life while managing the risk of future outbreaks.
Cross-border travel across the U.S.-Mexican border often experiences delays due to international security and customs concerns. However, medical emergencies require expedited travel through land ports of entry to save patients. Researchers examined potential strategies to expedite patient transfers and held a workshop to solicit input from stakeholders on the strategies.
Researcher identified traffic management strategies to improve crossing time reliability at commercial land ports of entry (LPOEs). They also successfully evaluated the strategies using two scenarios–an appointment scenario and a demand spreading scenario–using a microscopic traffic simulation model that the researchers developed for the Ysleta Zaragoza LPOE.
Understanding the relationship between cross-border transportation and the spread of infectious diseases is vitally important to mitigating the spread of future waves of COVID-19 or other pandemics. This study clearly shows the significant effect border crossings have regarding the spread of infectious diseases in their surrounding communities.
This research assessed the implications of the US-Mexico-Canada Agreement (USMCA) on energy trade between the United States and Mexico, as well as cross-border movements. Phase 1 presents a literature review to assess policy changes that could impact the energy trade between the two countries, collected the relevant data and developed a framework for scenario planning.
This report presents findings of a study examining the park, cross, and ride parking behavior. Before this study, no research had been performed to evaluate the cost and the benefits. This study does so with a cost-benefit analysis examining different scenarios.
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.
This report presents a model capable of forecasting future commodity trading between the United States and Mexico based on the historical import and export data. The incorporation of these forecasts into the U.S.-Mexico Border Freight Traffic Trends yearly report will benefit transportation and trade agencies, as well as the private sector, by providing a better understanding of future tendencies in border trade dynamics.
Quick and seamless passage across the U.S.-Mexico border has long been the Holy Grail for any commercial interest whose success depends on transportation efficiency. And for just as long, the safety inspection process at the border has represented the most persistent roadblock to that aspiration.
The Center for International Intelligent Transportation Research has published its biannual report for the period covering fiscal years 2017 and 2018. The report discusses new research initiatives as well as ongoing research for center sponsors.