A Prototype of an Intelligent Roadside Safety System
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Roadside features significantly impact the frequency and severity of run-off-roadway crashes. In recent years, roadside futures data are being collected by new remote sensing technologies such as mobile LiDAR. The purpose of this study is to develop an ITS system which communicates with road users to transfer information regarding objects, slopes, and roadside conditions. The proposed ITS system uses roadside inventory data to improve drivers safety during night and other low-visibility conditions.
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A Prototype of an Intelligent Roadside Safety System
- 1. How to access to the information What users need to possess What kind of information can be transferred to the CAD center Why special users Who are special users How can special users alert CAD center? What if the condition is changed? In future A Prototype of an Intelligent Roadside Safety System Fatemeh Baratian Ghorghi, Dr. Huaguo Zhou, Mohammad Jalayer, Dr. Ryan Fries Baratian@auburn.edu, hhz0001@auburn.edu, Jalayer@auburn.edu, rfries@siue.edu Ph.D. Students AU, Associate Professor AU, Assistant Professor SIUE MobileLiDARInformation Theschematicintegratedcomponentsofthesystem TheNationalITSArchitecturephysicalsubsystems 1. Graham, L. (2010). "Mobile Mapping Systems Overview." Photogrammetric Engineering and Remote Sensing, March. 2. National ITS Architecture 7.0. (2013). “Physical Entities”, US Department of Transportation, <www.iteris.com/itsarch/>. 3. Sam Company. (2013). “Mobile LiDAR”. <http://www.saminc.biz/about/technology/mobile-lidar>. 4. Tang, J., and Zakhor, A. (2011). "3D Object Detection from Roadside Data Using Laser Scanners." 7864, 30. 5. Tropos Networks White Paper. (2009). “Building Communications for Intelligent Transportation Systems” <www.tropos.com>. 6. Uddin, W. (2011). “Transportation Management: LiDAR, Satellite Imagery Expedite Infrastructure Planning” < http://eijournal.com>. 7. Vincent, R. A., and Ecker, M. (2010). "Light Detection and Ranging (LiDAR) Technology Evaluation." Missouri Department of Transportation. 8. Yen, K. S., Ravani, B., and Lasky, T. A. (2011). "LiDAR for Data Efficiency." Washington State Department of Transportation. Why Terrestrial microwave How these data are used