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Characterizing Interstate Crash Rates Based on Traffic Congestion Using Probe Vehicle Data Michelle M. Mekker, Stephen M. Remias, Margaret L. McNamara,

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Presentation on theme: "Characterizing Interstate Crash Rates Based on Traffic Congestion Using Probe Vehicle Data Michelle M. Mekker, Stephen M. Remias, Margaret L. McNamara,"— Presentation transcript:

1 Characterizing Interstate Crash Rates Based on Traffic Congestion Using Probe Vehicle Data Michelle M. Mekker, Stephen M. Remias, Margaret L. McNamara, Darcy M. Bullock

2 Outline Introduction and Motivation Data Sources Fatal Interstate Crashes, 2012-2014 All Interstate Crashes, 2014 Conclusion

3 Congestion impacts both safety and mobility Common causes of congestion Daily commute (recurring) Crash Construction Weather Two types of congestion-related crashes Within-queue: low speed, low severity Back-of-queue: high speed differential, high severity 8/15/2013 – 7 Fatalities 7/31/2013 – 1 Fatality 2/2/2015 – 1 Injury Introduction and Motivation

4 Outline Introduction and Motivation Data Sources Fatal Interstate Crashes, 2012-2014 All Interstate Crashes, 2014 Conclusion

5 Data Sources Crowd Sourced Probe Vehicle Data Data Point 5

6 Data Sources Crowd Sourced Probe Vehicle Data TMC Segments End of Queue within 5 miles INRIX XD Segments End of Queue within 2 miles

7 Data Sources Crowd Sourced Probe Vehicle Data – Tools

8 Data Sources Crowd Sourced Probe Vehicle Data – Tools

9 Requirements for use of data in study: 1/1/2012-12/31/2014 Travel lane crashes only Known, reliable location Accurate time of crash Occurred on Indiana Interstates Data Sources Crash Database

10 1.7-hour queue duration before secondary crash occurred Data Sources Example of Secondary Crash with Probe Vehicle Data

11 INRIX Trip Trace Graph from Crash on I-65 on 2/2/2015 12:0011:3011:0010:3010:0009:3009:0008:3008:0007:30 215 220 200 230 225 210 205 Mile Markers Local Time <=10 mph 10 - 20 mph 20 - 40 mph 40 - 60 mph >60 mph > 1.5 Hours i iii ii iv Data Sources Example of Secondary Crash with Probe Vehicle Data i)Initial queue forms (8:34) ii)Crash occurs (10:16) iii)Maximum queue length (11:34) iv)Queue clears (12:14)

12 Class Duration (minutes) Speed (mph) ω1ω1 Backward Forming 87 1.03 ω2ω2 Frontal Stationary 95 -- ω3ω3 Backward Recovery 10 12 ω4ω4 Backward Forming 115 3.78 ω5ω5 Frontal Stationary 40 -- ω6ω6 Backward Recovery 50+ 7.2 ω7ω7 Rear Stationary 15+ -- Shockwave Diagram from Crash on I-65 on 2/2/2015 Data Sources Example of Secondary Crash with Probe Vehicle Data

13 Outline Introduction and Motivation Data Sources Fatal Interstate Crashes, 2012-2014 All Interstate Crashes, 2014 Conclusion

14 77 82 71 30 out of 230 fatal crashes occurred at the back of a queue Fatal Interstate Crashes, 2012-2014 87% of fatal back- of-queue crashes involved trucks 39% of fatal non-back- of-queue crashes involved trucks

15 T T T T T T T T T T T T T T T T T T T T T T T TTTT T Truck/s Involved Fatal Interstate Crashes, 2012-2014 Queue Duration 63% of fatal back-of- queue crashes had a queue duration of > 60 minutes

16 Outline Introduction and Motivation Data Sources Fatal Interstate Crashes, 2012-2014 All Interstate Crashes, 2014 Conclusion

17 All Interstate Crashes, 2014 Queue Duration

18 n = 3448 (22.8%) All Interstate Crashes, 2014 Queue Duration 75% of congestion crashes had a queue duration of ≥ 14 minutes 50% of congestion crashes had a queue duration of ≥ 41 minutes 25% of congestion crashes had a queue duration of ≥ 120 minutes

19 All Interstate Crashes, 2014 More vehicles = More opportunities for a crash to occur Crash Rate = Average Crash Frequency in a Period Exposure in Same Period What is the difference in crash rate? Congested Uncongested

20 Congested Uncongested All Interstate Crashes, 2014 Mile-Hours as Exposure Uncongested Crash Rate = Number of crashes in uncongested traffic conditions Segment length x Number of uncongested hours Congested Crash Rate = Number of crashes in Congested traffic conditions Segment length x Number of Congested hours

21 All Interstate Crashes, 2014 Mile-Hours as Exposure Most of operation is uncongested

22 0.4 2.1 0.5 0.2 1.3 0.7 1.1 0.7 2.0 1.0 4.6 1.2 Thousands of Congested Mile-Hours in 2014 All Interstate Crashes, 2014 Mile-Hours as Exposure

23 Overall Ratio = 24.1 All Interstate Crashes, 2014 Congested vs. Uncongested Crash Rates Crash Rate Ratio = Congested Crash Rate Uncongested Crash Rate

24 Rural Interstate Segments as Defined by Metropolitan Statistical Areas (census-based) All Interstate Crashes, 2014 Rural vs. Urban

25 Rural Crashes Overall Rural Ratio = 23.8 Overall Urban Ratio = 20.7 Urban Crashes All Interstate Crashes, 2014 Rural vs. Urban

26 Outline Introduction and Motivation Data Sources Fatal Interstate Crashes, 2012-2014 All Interstate Crashes, 2014 Conclusions

27 Only 1-2% of interstate operation was congested Of fatal crashes over 3 years 13% were back-of-queue crashes 63% of back-of-queue fatal crashes had queue durations > 60 minutes 87% of back-of-queue fatal crashes involved commercial vehicles Of all crashes in 2014 22.8% were congestion-related crashes 75% had queue duration > 14 minutes Crash rate is 24.1 times greater when congestion/queue is present Overall Ratio = 24.1 Conclusions


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