Estimating Train Arrival Times Using Multiple Sensors

By: Diego B. Franca, M.Sc. Kittelson and Associates, Inc Elizabeth “Libby” Jones, PhD Assoc. Professor, Civil Engineering, University of Nebraska - Lincoln Assoc. Director , Mid-America Transportation Center Presented at 89th TRB Annual Meeting – Jan 2010 Estimating Train Arrival Times at Highway-Railroad Grade Crossing Using Multiple Sensors

Presentation Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Introduction ,[object Object],“The general area where a highway and a railroad’s right of way cross at the same level, within which are included the railroad tracks, highway, and traffic control devices for highway traffic traversing that area” (MUTCD, 2007)

Introduction ,[object Object],[object Object],[object Object]

Problem Statement ,[object Object],[object Object],[object Object],[object Object]

Problem Statement ,[object Object],[object Object]

Literature Review ,[object Object],[object Object],[object Object],[object Object]

Methodology ,[object Object],[object Object],[object Object],[object Object]

Data Collection Site ,[object Object]

Adams Street HRGC Location ,[object Object],[object Object],N 35th St . Adams St . Data Collection Site N

Upstream Salt Creek Location ,[object Object],[object Object],[object Object],Data Collection Site

Data Collection ,[object Object],[object Object],[object Object]

Data Analysis & Results ,[object Object],[object Object],RADAR PAIRED T-TEST T-Statistic P-value 95% Confidence Interval for Mean Difference (sec) 1.58 0.14 (-0.61, 3.68) VIDEO (AUTOSCOPE) PAIRED T-TEST T-Statistic P-value 95% Confidence Interval for Mean Difference (sec) 0.58 0.571 (-2.47, 4.27)

Data Analysis & Results ,[object Object],[object Object],RADAR PAIRED T-TEST T-Statistic P-value 95% Confidence Interval for Mean Difference (sec) 3.15 0.007 (0.98, 5.06) VIDEO (AUTOSCOPE) PAIRED T-TEST T-Statistic P-value 95% Confidence Interval for Mean Difference (sec) 0.09 0.929 (-4.30, 4.69)

Data Analysis & Results ,[object Object],[object Object],[object Object],KALMAN FILTER PAIRED T-TEST T-Statistic P-value 95% Confidence Interval for Mean Difference (sec) 1.79 0.099 (-0.32, 3.25)

Data Analysis & Results ,[object Object],[object Object],[object Object],KALMAN FILTER PAIRED T-TEST T-Statistic P-value 95% Confidence Interval for Mean Difference (sec) 1.44 0.171 (-0.86, 4.44)

Data Analysis & Results ,[object Object],MULTIPLE-TRAIN SCENARIO Count Percentage Difference from Actual Arrival Time Radar Estimation Autoscope Estimation Kalman Filter Estimation Radar Estimation Autoscope Estimation Kalman Filter Estimation Within +/- 2 seconds 6 4 8 46% 31% 62% Within +/- 5 seconds 9 7 12 69% 54% 92% within +/- 10 seconds 13 13 13 100% 100% 100% SINGLE TRAIN SCENARIO Count Percentage Difference from Actual Arrival Time Radar Estimation Autoscope Estimation Kalman Filter Estimation Radar Estimation Autoscope Estimation Kalman Filter Estimation Within +/- 2 seconds 6 6 7 38% 38% 44% Within +/- 5 seconds 12 7 13 75% 44% 81% within +/- 10 seconds 15 12 15 94% 75% 94%

Final Remarks ,[object Object],[object Object],[object Object]

Credits ,[object Object],[object Object],[object Object]

Estimating Train Arrival Times Using Multiple Sensors

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