Intelligent Crossing Assessment and Traffic Sharing System (i-CATSS)

Details

• Creators:
  Qian, Yu ; Wang, Yi ; Rizos, Dimitris C ; Farkas, Csilla ; Huang, Chin-tser
• Corporate Creators:
  University of South Carolina
• Corporate Contributors:
  United States. Department of Transportation. Federal Railroad Administration. Office of Railroad Policy and Development ; United States. Department of Transportation. Federal Railroad Administration. Office of Research, Development and Technology
• Subject/TRT Terms:
  • Grade crossing protection systems
  • Cameras
  • Railroad crashes
  • Safety equipment
  • First responders
  • Delays
  • Signaling
  • Artificial intelligence
  • Automatic train control crossing monitoring
• Publication/ Report Number:
  DOT/FRA/ORD-22/15
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Contracting Officer:
  Jacobini, Francesco Bedini
• Corporate Publisher:
  United States. Department of Transportation. Federal Railroad Administration
• Abstract:
  Railroad crossings may cause unexpected blockages and considerable traffic delays, especially in urban areas. However, there is no practical system available to share potential crossing blockage information to the public. An unexpected blockage threatens first responders while they respond to emergencies. This research project has developed an Intelligent Crossing Assessment and Traffic Sharing System (i-CATSS) that can detect and predict highway-rail blockages at grade crossings and provide first responders with real-time information of traffic conditions at crossings
• Format:
  PDF
• Funding:
  693JJ619C000009
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/61428/dot_61428_DS1.pdf
• File Type:
  [PDF - 6.31 MB]
• Collection(s):
  Federal Railroad Administration
• Main Document Checksum:
  urn:sha-512:7c7905d911a2522ef6570c45ade9081d8ac9e9a467e35eafd35f9643d5b1945f7194862c914e1b824a8a5265dc9e78aecd567d2f46a8cdfe96b4b601d1368870