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LORAM TECHNOLOGIES, INC.
GEORGETOWN, TX, 78626
Unclaimed
Subcontracting experience
3 records from government sources. Past participation is not evidence of current teaming interest.
| Role | Agency | Description | Vehicle | Obligated | Action date | Period |
|---|---|---|---|---|---|---|
| Subcontractor | Department of Transportation | LORAM MAINTENANCE OF WAY, INC. (LORAM) WILL CONTRIBUTE TRACK-BORNE CONDITION DATA COLLECTION
CAPABILITIES, AS WELL AS ITS EXPERTISE IN TRACK PERFORMANCE MONITORING AND ROOT-CAUSE ANALYSIS.
LORAM WILL PROVIDE HI-RAIL BASED LIDAR, IMAGERY AND GPR SCANNING OF RAILWAY LINES TO MONITOR
FOR POTENTIAL GROUND HAZARDS AND TO RELATE TO THE GEOSPATIAL DATABASE. IN ADDITION, LORAM WILL USE
ITS EXPERTISE IN TRACK GEOMETRY ANALYSIS TO PROVIDE FURTHER INFORMATION ON TRACK PERFORMANCE FROM
THE ANALYSIS OF RAILROAD-SUPPLIED TRACK GEOMETRY DATA.
LORAM WILL HELP TO COMBINE TRACK-BORNE DATA WITH AERIAL DRONE AND SATELLITE REMOTE SENSING TO
ENABLE MULTI-SOURCE MONITORING OF GROUND HAZARD CONDITIONS AT THE HIGH, MEDIUM, AND LOW HAZARD
ZONES ESTABLISHED IN THE RAIL CORRIDOR FOR GROUND HAZARDS CHARACTERIZATION. LORAM HAS THE CURRENT
CAPABILITY TO COLLECT GROUND PENETRATING RADAR AND LIDAR DATA USING ITS STATE-OF-THE-ART HI-RAIL
SYSTEMS. THESE MICRO-DATA SETS WILL BE ANALYZED USING CHANGE DETECTION ALGORITHMS, AND
ANOMALOUS CHANGES WILL BE COMPARED WITH CHANGES OBSERVED FROM THE MACRO-DATA ANALYSIS. THIS
INTEGRATED APPROACH WILL PROVIDE THE OPPORTUNITY TO PROACTIVELY IDENTIFY HAZARDS AND MITIGATE THE
RISK BEFORE IT IMPACTS THE RAILWAY CORRIDOR. 2011062CDZ1 Parent award context Parent award agency: Department of Transportation · Federal Railroad Administration Parent award NAICS: 541715 Parent award performance state: MI Parent award description: BAA PROJECT TO DEVELOP A GEOSPATIAL DATABASE AND DECISION SUPPORT SYSTEM (DSS) THAT INTEGRATES REMOTE SENSING-BASED GROUND HAZARD INFORMATION (MACRO-DATA) WITH TRACK-BORNE CONDITION MONITORING DATA(MICRO-DATA) FROM THE RAIL INDUSTRY TO LOCATE, MONITO View parent award on USAspending | — | $18,273 | Feb 7, 2024 | — – — |
| Subcontractor | Department of Transportation | MACHINE LEARNING-BASED ANALYSIS OF THE NEED FOR RAILWAY TRACK MAINTENANCE 23-01737 A 00 Parent award context Parent award agency: Department of Transportation · Federal Railroad Administration Parent award NAICS: 541720 Parent award performance state: MA Parent award description: MACHINE LEARNING-BASED ANALYSIS OF THE NEED FOR RAILWAY TRACK MAINTENANCE View parent award on USAspending | — | $59,155 | Sep 15, 2023 | — – — |
| Subcontractor | Department of Transportation | LORAM MAINTENANCE OF WAY, INC. (LORAM) WILL CONTRIBUTE TRACK-BORNE CONDITION DATA COLLECTION
CAPABILITIES, AS WELL AS ITS EXPERTISE IN TRACK PERFORMANCE MONITORING AND ROOT-CAUSE ANALYSIS.
LORAM WILL PROVIDE HI-RAIL BASED LIDAR, IMAGERY AND GPR SCANNING OF RAILWAY LINES TO MONITOR
FOR POTENTIAL GROUND HAZARDS AND TO RELATE TO THE GEOSPATIAL DATABASE. IN ADDITION, LORAM WILL USE
ITS EXPERTISE IN TRACK GEOMETRY ANALYSIS TO PROVIDE FURTHER INFORMATION ON TRACK PERFORMANCE FROM
THE ANALYSIS OF RAILROAD-SUPPLIED TRACK GEOMETRY DATA.
LORAM WILL HELP TO COMBINE TRACK-BORNE DATA WITH AERIAL DRONE AND SATELLITE REMOTE SENSING TO
ENABLE MULTI-SOURCE MONITORING OF GROUND HAZARD CONDITIONS AT THE HIGH, MEDIUM, AND LOW HAZARD
ZONES ESTABLISHED IN THE RAIL CORRIDOR FOR GROUND HAZARDS CHARACTERIZATION. LORAM HAS THE CURRENT
CAPABILITY TO COLLECT GROUND PENETRATING RADAR AND LIDAR DATA USING ITS STATE-OF-THE-ART HI-RAIL
SYSTEMS. THESE MICRO-DATA SETS WILL BE ANALYZED USING CHANGE DETECTION ALGORITHMS, AND
ANOMALOUS CHANGES WILL BE COMPARED WITH CHANGES OBSERVED FROM THE MACRO-DATA ANALYSIS. THIS
INTEGRATED APPROACH WILL PROVIDE THE OPPORTUNITY TO PROACTIVELY IDENTIFY HAZARDS AND MITIGATE THE
RISK BEFORE IT IMPACTS THE RAILWAY CORRIDOR. 2011062CDZ1 Parent award context Parent award agency: Department of Transportation · Federal Railroad Administration Parent award NAICS: 541715 Parent award performance state: MI Parent award description: BAA PROJECT TO DEVELOP A GEOSPATIAL DATABASE AND DECISION SUPPORT SYSTEM (DSS) THAT INTEGRATES REMOTE SENSING-BASED GROUND HAZARD INFORMATION (MACRO-DATA) WITH TRACK-BORNE CONDITION MONITORING DATA(MICRO-DATA) FROM THE RAIL INDUSTRY TO LOCATE, MONITO View parent award on USAspending | — | $42,358 | Sep 13, 2022 | — – — |
Contract vehicles are shown only when present in the source record. Linked award numbers and vehicles open the authoritative record on USAspending.gov.