Browsing by Subject "Truck stops"

Now showing 1 - 2 of 2
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    Counting Empty Parking Spots at Truck Stops Using Computer Vision
    (Center for Transportation Studies, 2011-05) Pushkar, Modi; Vassilios, Morellas; Papanikolopoulos, Nikolaos
    For at least the past decade, truck driver fatigue has been thought to be a contributing factor in a number of heavy truck accidents. For better utilization of truck stops and to provide truck drivers with safe rest options, we are designing an automated truck stop management system that can compute occupancy rates at stops and notify drivers about the availability of parking spots using variable message displays located about 30 or 40 miles before the stop. Our system detects, classifies and localizes vehicles on the truck stop's grounds by using a set of video cameras, from which video frames are analyzed in real-time.
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    A Real-Time Truck Availability System for the State of Wisconsin
    (Center for Transportation Studies, University of Minnesota, 2018-05) Morris, Ted; Henderson, Travis; Morellas, Vassilios; Papanikolopoulos, Nikos
    Independent of truck parking capacity shortages, obtaining reliable and timely information has been receiving considerable attention nationally as of late. The situation has been exacerbated by increasing levels of freightborne truck volumes along many regional and interstate corridors and the need for carriers and drivers to balance efficient transport with required periods to park and rest to minimize driver fatigue. Interstate 94, a nationally designated freight corridor, as it passes through the Upper Midwest, including Wisconsin, shares this problem. A multi-camera computer vision detection system was deployed at a state sponsored rest area truck parking facility 67 miles east of Minneapolis. A key aspect of the system is that it is a completely automated 24/7, non-intrusive, parking detection system; there is no need to intervene with manual resets or re-calibration procedures, and pavements are not disturbed. Secondly, a region-wide truck parking notification architecture, recognized as an emerging national standard, was integrated with the detection system to provide real-time roadside truck parking notifications upstream of the facilities, as well as notification to other third party stakeholders. The overall detection accuracy was between 90 and 95 percent during up-to-the minute, per-space parking status notifications.