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data-driven

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

March 29, 2023

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.
[Read more…] about It’s About Using Space Wisely: Cross-Border Trucks Face Different Challenges When It Comes to Parking

Filed Under: Blog, Featured News, News Tagged With: artificial intelligence, border crossing, center, cross-border, cross-border trade, data-driven, daytrip, distribution, economy, freight, imagery, parking, prediction, reliability, satellite, semi-truck, traffic, traffic management, truck

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

January 25, 2023

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?
[Read more…] about The Right Tools for the Job: Predictive Planning for Transportation Infrastructure Can Save Lives

Filed Under: Blog, Featured News, News Tagged With: contingency, data-driven, disaster, event, explosion, extreme, hazmat, infrastructure, management, modeling, natural, planning, prediction, refinery, route, simulation, spill, strategy, traffic

New Report: The Potential Role and Application of Emerging Data in a Border-Crossing Context

October 24, 2022

This study explored how crowdsourced data can be used to better understand cross-border trips and travel patterns. Transportation officials can use these results to develop robust, data-driven policies regarding cross-border trips that, in turn, should make for more efficient, safe, and secure travel.

Filed Under: Featured News, News Tagged With: cross-border, crowdsourced data, data-driven, efficiency, interagency, management, pattern, policy, reliability, traffic, travel, travel time

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The Center for International Intelligent Transportation Research seeks to maintain and improve mobility in the face of growing traffic and shrinking resources, increase border-crossing efficiency while maintaining security, and improve air quality to advance personal health.
The Center for International Intelligent Transportation Research seeks to maintain and improve mobility in the face of growing traffic and shrinking resources, increase border-crossing efficiency while maintaining security, and improve air quality to advance personal health.
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