Benefits of Advanced Traffic Management Solutions: Before and After Crash Analysis for Deployment of a Variable Advisory Speed Limit System
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1 Benefits of Advanced Traffic Management Solutions: Before and After Crash Analysis for Deployment of a Variable Advisory Speed Limit System Alex Chambers California Polytechnic State University, San Luis Obispo July 13, 2016
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4 Variable Advisory Speed Limit System Improve Safety
5 OR 217 Active Traffic Management Project Variable Advisory Speed Limit System Traveler Information System Adaptive Ramp Metering Queue Warning System Three Main Goals Improve Safety Reduce Congestion Utilize Existing Assets Objective: Evaluate the effectiveness of the Variable Advisory Speed Limit System in reducing crashes
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11 28 overhead VSL signs 7 mainline Variable Message Signs (VMS) 6 arterial VMS 4 roadway weather sensors 5 radar traffic sensors 12 Bluetooth sensors 20 mainline dual loop stations
12 Crashes By Type 6% 9% 10% 4% Crash Type By Injury Class n= n=1118 Fixed Object Rear End Turning 71% Other Sideswipe - Overtaking 0 FATAL INJ A INJ B INJ C PDO Fixed Other Rear End Sideswipe - Overtake Turn
13 450 Rear End Collision Severity Injury PDO n=797
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18 WCCCA TOCS TDS VSL Activation 7/22/2011 7/23/2014 Incomplete Data, No PDO Incidents 12/31/2014 4/11/ /31/2015 4/7/2016
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21 Before 36 months After 21 months Traffic Accident Injury (TAI), Traffic Accident No Injury (TAN), and Traffic Accident Unknown Injury (TAU) are the primary sources used for analysis.
22 0.00% 5.00% 20.00% 15.00% 10.00% Before After 0.00% 5.00% 10.00% 15.00% 20.00% Before After
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24 Similar crash trends to the WCCCA data Reduction around north terminus No large changes at VSL locations Milepost 0.00% 5.00% 10.00% 15.00% 20.00% Before After
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29 Official OR 217 Traffic Volumes Average Annual Daily Traffic Milepost
30 Portal provides a repository of traffic data for the entire Portland area.
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32 SB Sanitized By Station Number of Vehicles /1/2011 9/1/ /1/2011 1/1/2012 3/1/2012 5/1/2012 7/1/2012 9/1/ /1/2012 1/1/2013 3/1/2013 5/1/2013 7/1/2013 9/1/2013 Month /1/2013 1/1/2014 3/1/2014 5/1/2014 7/1/2014 9/1/ /1/2014 1/1/2015 3/1/2015 5/1/2015 7/1/2015 9/1/ /1/2015 1/1/2016 3/1/2016
33 SB Sanitized Average Traffic Number of Vehicles /1/2011 9/1/ /1/2011 1/1/2012 3/1/2012 5/1/2012 7/1/2012 9/1/ /1/2012 1/1/2013 3/1/2013 5/1/2013 7/1/2013 9/1/ /1/2013 1/1/2014 3/1/2014 5/1/2014 7/1/2014 9/1/ /1/2014 1/1/2015 3/1/2015 5/1/2015 7/1/2015 9/1/ /1/2015 1/1/2016 3/1/2016 Month
34 Monthly Traffic Volumes Before NB SB After
35 + 20 % % % 1000 Change in Crashes + 05 % + 0 % - 05 % TAI TAN TAU Overall Number of Crashes - 10 % - 15 % - 20 % Change in Crashes Number of Before Crashes Number of After Crashes n=
36 After Predicted After TAI TAN TAU ABV ANM ASP ATL CRMN DUI HAZ HRN INFO MOA TRF
37 + 20 % % % 400 Change in Crashes + 05 % + 0 % - 05 % TAI TAN TAU Overall Number of Crashes - 10 % - 15 % - 20 % Change in Crashes Number of Before Crashes Number of After Crashes n=
38 + 20 % % % 400 Change in Crashes + 05 % + 0 % - 05 % TAI TAN TAU Overall Number of Crashes % Change in Crashes % - 20 % Number of Before Crashes Number of After Crashes n=
39 + 120 % % % % 600 Change in Crashes + 40 % + 20 % Number of Crashes + 0 % Clear Rain Snow 0-20 % Change in Crashes % - 60 % Number of Before Crashes Number of After Crashes n=
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41 60 50 FIX OTHER REAR SS-O TURN 40 Crashes /1/2011 9/1/ /1/2011 1/1/2012 3/1/2012 5/1/2012 7/1/2012 9/1/ /1/2012 1/1/2013 3/1/2013 5/1/2013 7/1/2013 9/1/ /1/2013 Month 1/1/2014 3/1/2014 5/1/2014 7/1/2014 9/1/ /1/2014 1/1/2015 3/1/2015 5/1/2015 7/1/2015 9/1/2015
42 + 30 % % % 400 Change in Crashes + 0 % - 10 % DRY WET ICE SNO UNK Number of Crashes - 20 % Change in Crashes Number of Before Crashes % Number of After Crashes n=
43 + 50 % % % % 400 Change in Crashes + 10 % + 0 % - 10 % DARK DAWN DAY DLIT UNK DUSK Number of Crashes - 20 % % Change in Crashes % - 50 % Number of Before Crashes Number of After Crashes n=
44 + 70 % Change in Crashes Number of Before Crashes % Number of After Crashes 500 Change in Crashes + 30 % + 10 % Number of Crashes - 10 % ANGL BACK FIX HEAD NCOL OTH PED REAR SS-M SS-O TURN % n=
45 + 30 % % 600 Change in Crashes + 10 % + 0 % - 10 % - 20 % - 30 % FATAL INJ A INJ B INJ C PDO FATAL + INJ A Change in Crashes Number of Before Crashes Number of After Crashes n= Number of Crashes
46 + 70 % % % 200 Change in Crashes + 10 % - 10 % FATAL INJ A INJ B INJ C FATAL + INJ A Number of Crashes - 30 % Change in Crashes % Number of Before Crashes Number of After Crashes n= % -400
47 + 80 % % % 200 Change in Crashes + 20 % + 0 % - 20 % FATAL INJ A INJ B INJ C FATAL + INJ A Number of Crashes - 40 % Change in Crashes % Number of Before Crashes % Number of After Crashes n=
48 Change 0% 2% 4% 6% 8% 10% 12% WCCCA WCCCA - NB WCCCA - SB TOCS TDS TDS - Rear End TDS - New Data TDS - New TDS - Rear Data End TDS TOCS WCCCA - SB WCCCA - NB WCCCA Change 6.04% 2.80% 3.13% 9.99% 4.43% 3.99% 4.21%
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53 Site Selected Based on Short Term Trend Regression to the Mean Reduction Perceived effectiveness 150 Expected Average Crash Frequency 100 Reduction due to Treatment
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66 Crashes Predicted Actual Expected
67 Crashes F+I PDO Total Expected Actual
68 Crashes Fatal and Injury Expected Actual
69 Crashes Fatal and injury Expected Actual
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75 Security Safety
76 Security User perceived improvement Safety
77 Security Fiasco Safety
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