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Broward County Congestion Assessment

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Presentation on theme: "Broward County Congestion Assessment"— Presentation transcript:

1 Broward County Congestion Assessment
FSUTMS Users Group Peng Zhu Cambridge Systematics September 20, 2019

2 Outline Background and purpose Data Analysis Methodology
Screening and Verification On-going efforts

3 Background Purpose: Identify existing congestion Utilize new data sources probe vehicle speed Focus on arterial streets Develop implementable projects D/W Study, First task targeted at Broward County arterials Roadway segments Recurring congestion

4 Data HERE vs NPMRDS coverage (Q1 2017) HERE NPMRDS

5 HERE Data Suitable and available data source for congestion assessment
Data field: TMC (segment ID, directional) Time interval Speed Reference speed (85th percentile) Travel time Confidence (real time -> historical) Data unit: Traffic Message Channel (TMC) ~ roadway segment each associated with speed and travel time data

6 Methodology development
Congestion Raster & line Reference speed (HERE) Posted speed Normalized delay Bottlenecks Combined score w weights

7 1 Mile Raster Analysis (6 PM)

8 Methodology Analysis period Congestion measures Ranking March 2017
Typical weekdays: Tuesday through Thursday; excluding Spring Break Days Peak hours: 7-9 a.m.; 4-6 p.m. Every 15-minute interval Congestion measures Intensity: How SLOW traffic gets, compared to posted speed Duration: How LONG congestion lasts, also related with posted speed Ranking Normalization and Weighting

9 WB EB

10 Intensity Measuring “how slow” the traffic was
Peak 30 Minutes: 8:00~8:30 AM and 5:30~6:00 PM Free Flow Speed (arterial): ~2/3 Posted Speed (LOS B+) Mapping First Tier: Top 5% (~70) Second Tier: Top 10% (~140)

11 Duration Measures “how long” congestion lasts.
Time periods (counts of 15- minute slots) under LOS F: LOS F: (~1/3 posted speed) < 15mph for Class I streets (post spd >= 40mph) < 10mph for Class II streets (post spd <= 35mph) Mapping Congestions last more than one hour

12 Most Congested by Intensity/Duration
Intensity Ranking Ranking Roadway Name From To 1 Oakland Park Blvd I-95 Andrew Ave 2 SR-7 Riverland Rd Davie Blvd 3 Broward Blvd NW 27 Ave NW 7 Ave 4 Hallandale BCH Blvd SE 1 AVE 5 University Dr NOVA Dr Peters Duration Ranking Ranking Roadway Name From To 1 SE 3 Ave E LAS OLAS Blvd BROWARD Blvd 2 Hollywood Blvd N 21 Ave US-1 3 SE 24 St SW 4 Ave NE 6 Ave 4 SR-7 Griffin Rd Orange Dr 5 Oakland Park Blvd I-95 Andrew Ave

13 Spread out Interchanges Rail Crossings More E-W; less N-S More Center and East; less West

14 Comparing with Surtax Projects
Overlaid with Broward County Surtax Plan projects Dark dots: Intersection improvements Dash lines: Road capacity improvements - 4 lanes to 6 lanes

15 Screening Interchange locations Constructions School operations
I-95 and Turnpike Constructions Construction logs (state and county) Previous WP School operations Speed reduction zones AM, PM Locations with programmed efforts Work program LRTP/MTP TIP Coordination with FDOT offices, County Traffic and Highway, MPO

16 Verification Broward TMC traffic cameras LOS Report TSM&O
AM and PM conditions at high rank locations LOS Report subarea consistency TSM&O Program coverage Monthly performance reporting Online maps (such as google “typical” traffic, and live traffic)

17 Combined Ranking

18 Combined Ranking

19 Lessons Learned Results sensitive to posted speeds
Long TMC may “dilute” results A1A US-1 SE 17 St Eisenhower

20 2016 2017 2018 Lessons Learned Congestion pattern changes over years
Hotspot 2018

21 Some questions received
Why March? Why Tuesday through Thursday? Why 7-9 am and 4-6 pm?

22 Speed Profiles Area 1: West of US-441 Area 2: US-441 to US-1
Area 3: US-1 to A1A

23 Speed by Month of Year

24 Speed by Day of Week

25 Speed by Time of Day

26 Current Efforts Broward County Palm Beach and Treasure Coast
Identified high ranked locations Conducted traffic analysis at selected locations Developed mitigation projects Coordinating with FDOT, County, MPO, and Cities Palm Beach and Treasure Coast

27 Thank you!


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