Hourdos, John
Benefit Summary HTML

This project developed two separate systems that can identify lane-specific shockwave or queuing conditions on the freeway network along two separate interstate highways in Twin Cities, Minnesota. The system used an existing Active Traffic Management (ATM) system that included Intelligent Lane Control Signals (ILCS) spaced every half-mile over every lane to warn motorists upstream for rear-end collision prevention. The first system was based on the premise that freeway rear-end collisions tend to occur in extended stop-and-go traffic or at end-of-queue locations. The second queue warning system was based on the hypothesis that not all congestion events are dangerous but there are certain traffic conditions that are crash-prone regardless of whether they result in standing queues or not. The two systems were field tested on two interstate highways with significantly different traffic-flow conditions prone to rear-end collisions. 

Created Date
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Other Reference Number
Final Report 2017-20
Priority Research Area
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University of Minnesota
Result Type
Development of a Queue Warning System Utilizing ATM Infrastructure System Development and Field Testing
Project Category
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