An Innovative Intelligent Awareness System for Roadway Workers Using Dedicated Short-Range Communications

dc.contributor.authorBowman, Darrell Scotten
dc.contributor.authorMartin, Tom L.en
dc.date.accessioned2016-08-15T20:27:26Zen
dc.date.available2016-08-15T20:27:26Zen
dc.date.issued2015-10-15en
dc.description.abstractRoadside workers and emergency responders, such as police and emergency medical technicians, are at significant risk of being struck by vehicular traffic while performing their duties. While recent work has examined active and passive systems to reduce pedestrian collisions, current approaches require line of sight using either laser-, infrared-, or vision-based systems. We addressed this problem by developing a Global Positioning System (GPS)-based solution that equips roadside workers and vehicles with GPS units to estimate the trajectory of oncoming traffic, and to estimate whether worker strike is imminent. The results of our study show that our approach is 91% accurate in alerting the worker and vehicle of collisions and near misses. Furthermore, accurate warnings can be provided 5 to 6 seconds before any potential collision, allowing time for mitigating solutions.en
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/10919/72248en
dc.language.isoenen
dc.publisherConnected Vehicle/Infrastructure University Transportation Center (CVI-UTC)en
dc.rightsCreative Commons CC0 1.0 Universal Public Domain Dedicationen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/en
dc.subjectconnected vehiclesen
dc.subjectpedestrian collisionsen
dc.subjectroadside worker safetyen
dc.titleAn Innovative Intelligent Awareness System for Roadway Workers Using Dedicated Short-Range Communicationsen
dc.typeReporten
dc.type.dcmitypeTexten

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
IntelligentAwarenessSystem.pdf
Size:
1009.71 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
Name:
license.txt
Size:
1.5 KB
Format:
Item-specific license agreed upon to submission
Description: