Rome Navigation Innovations Inc.

27 Old County Rd.

James_Rome@uml.edu

H. James Rome, President

978-281-5623

 

 
 

 

 

 

 

 

 

 

 

 


               WHAT WE POSITION

                                                                                         



 

 

 

 

 

 

 


                                    (SOME OF )   WHAT WE  USE



 

 

 


             Typical Ways We Use It



 

 

 

 

 


Rome Navigation Innovations specializes in solutions to issues associated with enhancing the

Accuracy, Reliability , Availability  and Fault tolerance

of systems involving

positioning, tracking, and navigation

 

Products:

·      Canned , User Friendly programs to implement data integration, and properly position “Position Tagged Data”. That is software fusing various data sources to achieve the objectives of the system.

·      Canned Programs ( or documented routine inserts)  for Data Analysis of position tagged data.

·      Feasibility studies, Assistance in hardware choices for implementation, Technical support for running programs and interpreting results.

 

 

Cognate Activities:

·       Developing algorithms For the effective processing of data tagged with position information

·       Change, Fault detection (inherent in measured position tagged data) in position or time

·       Error, Analysis of  measured ( position tagged) data, and in positioning

·       Development of noise rejection filters/smoothers  for measured( position tagged)  data

·        Assistance in choosing/modifying  hardware in  building a positioning system meeting the requirements of customer's objective in the unique environment where the system must operate.

·       Assistance in evaluating system component

·       Data heath studies: Seek out signs of synchronization problems, data inconsistencies

 

 

Recent Work:

For Amtrak: It is now using "  "Robust Positioning For  Track Geometry  Data" algorithms in their data stream before entering track geometry data into their data bases. There is then:

Near perfect data alignment of the track geometry data from test to test.
Geodetic positioning is highly  accurate, nearly always available.

The Algorithm is nearly impervious to the  many faults and outages of GPS, and milepost marking that might have occurred. It uses geometry data signal matching for alignment, and a distance based Kalman filter incorporating GPS and other available inputs for required robustness.  See this link for further details

For the FRA:

"Wrong Track Detection Algorithm" with extremely low error rates (consistent with "safety of life"). It uses raw differential GPS, heading rate, and  available track maps, in a  a multi-input  Bayes Decision function. A Distance based Kaman filter  supports the algorithm. It was designed and verified  using track geometry alignment algorithms.  Demonstrated 0 "misses"  of a track change in  approximately ~ 24 million records; and 2 False alarms

"Safety/Risk  Analysis of  Track Survey Strategies" . Based on Markov state probability analysis , developed canned programs to compare the saftey/risks associated with various survey strategies applied to tack and rail measurement. Inputs included spacing between surveys, remediation time, probabilities of missing a fault , probability of an accident in one day given a fault, fault generation rate. Outputs included expected accidents/year and probability that a fault will be remediated before it creates an accident. Parameters can be dependent on time of creation of the fault


For Georgetown Rail:  Developed a rail specific  Kalman Smoother capable of extrapolating linear position on a rail tie defect detection Hi-Rail system  to within ~2 ft  even in intervals of  GPS outage  for up  to and sometimes  greater  than 1 mile. It is configured to allow multiple strategies for “Return to Defect”. The filter  integrates 6" ( nominal ) accuracy differential GPS , Train odometer,  and rate gyro. In the process , Rome assisted in the ferreting out synchronization issues, and choosing cost effective  effective odometer and heading reference.

For The Volpe Transportation Systems Center:  Developed a Kalman Filter to predict the motions of wake vortices created by landing aircraft ( a possible threat to following aircraft).  It integrates lidar measurement of vortex peak positions , vortex strength, and wind,  with the equations of motion of vortices as they are effected by each other, and the ground beneath.


Experience , Resume of H. James Rome