Center for International Intelligent Transportation Research

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Rethinking the Chase: How UAVs Could Make High-Speed Pursuits Safer

Headshot of Valeria Martinez.


Valeria Martinez

Headshot of Swapnil Samant.


Swapnil Samant

Headshot of Rafael Aldrete.


Rafael Aldrete

by Valeria Martinez, Swapnil Samant and Rafael Aldrete

High-speed vehicle pursuits are among the most dangerous situations faced by law enforcement and the public. Each year, these chases result in crashes, injuries and, in too many cases, fatalities. In regions like El Paso, Texas, the frequency of such pursuits has increased sharply, raising concerns among policymakers and communities about how to respond more safely and effectively. [Read more…] about Rethinking the Chase: How UAVs Could Make High-Speed Pursuits Safer

New Biannual Report for FY 2021-2022

The latest biannual report for the Center for International Intelligent Transportation Research has been released. The report highlights the past two years’ of center research focusing on the advanced application of technologies and methodologies to expedite mobility, improve safety, and facilitate border-crossing efficiency at the U.S.-Mexico border.

New Report: Potential Benefits of Co-Locating Texas/Mexico Border Safety Inspections: A Study Directed by the Texas Legislature

This report analyzes the feasibility of co-locating federal and state inspections at Texas-Mexico border crossings and assesses the potential benefits in terms of improving the efficiency of carrier-motor-vehicle traffic flow. Findings indicate inspection rates rather than location most significantly impact crossing times.

It’s About Using Space Wisely: Cross-Border Trucks Face Different Challenges When It Comes to Parking

by Erik Vargas and Okan Gurbuz

In its 2020 Texas Statewide Truck Parking Study, the Texas Department of Transportation noted that trucks carrying 1.2 billion tons of freight worth $1.7 trillion each year in the Lone Star State. That means 140,000 trucks must park somewhere in the state every day for drivers to rest and sleep. Noted in the study, truck volume is expected to grow by some 80 percent by 2040, making today’s shortage of truck parking facilities a crisis down the road.
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New Report: Exploring Crowdsourced Big Data to Estimate Border Crossing Times

This report provides an in-depth assessment of market-available connected vehicle (CV) data (using Wejo datasets) to estimate border crossing times. Results indicate the Wejo CV data provide a promising source for monitoring border crossing times, especially as sample penetration rates improve.

The Right Tools for the Job: Predictive Planning for Transportation Infrastructure Can Save Lives

by Jeff Shelton

When extreme events occur, the transportation network is vital to relief and recovery. For example, when a hurricane makes landfall, getting citizens to safety—particularly from low-lying areas at risk for flooding—is top priority. But once the heavy rain is falling, what routes should they take? Which roads are most likely to flood? After how many inches of rainfall do we begin diverting traffic from Main Road A because it’s likely to flood in the next hour?
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New Video: Potential Benefits of E-Inspections

E-inspections of trucks offer an alternative to traditional weigh-station inspections, which require hands-on human interaction and delay drivers. Inspections can be automated to a great extent by leveraging technology without compromising safety, thereby achieving efficiencies and improving accuracy of inspection data. This video provides an overview of e-inspections, especially as they relate to cross-border freight traffic.

Keeping Ahead of the Curve: Mitigating Extreme Traffic Events with Advanced Technology

by Rafael Aldrete and Swapnil Samant

Transportation agencies are charged with the formidable task of keeping people and goods moving efficiently, reliably and safely. Sometimes, that’s not easy. When bad weather hits, for example, a transportation management agency’s limited resources and personnel are stretched thin by mass movements of cars and trucks stressing the local network.

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