Texas Intersection Safety Implementation Plan Workshop JUNE 2, - - PowerPoint PPT Presentation
Texas Intersection Safety Implementation Plan Workshop JUNE 2, - - PowerPoint PPT Presentation
Texas Intersection Safety Implementation Plan Workshop JUNE 2, 2016 Why Intersection Safety? A small part of overall highway system, but Each year roughly 50% of all crashes estimated 3 million involve intersections 9 10
Why Intersection Safety?
- A small part of overall
highway system, but…
- Each year roughly 50% of all
crashes – estimated 3 million – involve intersections
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Texas: 802 Intersection Fatalities (2014)
Why a systemic approach for intersections? Realizing the SHSP Vision and Goals
- The general consensus among
those involved in transportation safety is that further reductions are not only desirable, but feasible.
- BUT…achieving means new tools,
new approaches, new ideas
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Texas SHSP ‐ Intersection
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Texas SHSP ‐ Pedestrians
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Approaches to Saving Lives and Preventing Serious Injuries
Traditional Systemic Comprehensive Policy Culture
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Conventional vs. Systematic
Conventional/Traditional:
- Based on “High‐crash Locations”
– Purely reactive; identified by very high number of crashes at specific intersection – Usually involves application of countermeasures with high CRF values, but also at high cost (e.g., reconstruction or widening) – Usually fewer than 10‐20 per year in a average size state – By itself, negligible impact on reducing statewide fatalities
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Traditional Systemic Comprehensive Policy Culture
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Traditional Systemic Comprehensive Policy Culture
Conventional vs. Systematic
Systematic/Comprehensive
- Reverses the traditional approach, then enhances it
– Start with known effective, low‐cost countermeasures – Install systematically at large number of intersections with both moderate and high crash histories where cost‐effective results are expected – Typically find that 3‐8% of the intersections with any crash history account for 25‐40% of the statewide intersection problem – Substantial reduction of statewide intersection injuries/ fatalities can be realized with this approach (ties directly to SHSP goals) – Plan can be tailored to available resources – Can also include a Corridor/Community 3E component
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Basic Approach for Intersections
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Key: Making Intersections Incrementally Safer
- Increase visibility of intersections and traffic control devices
- Increase awareness of intersections
- Improve the design of intersections to reduce conflicts
- Improve driver comprehension to reduce confusion
- Improve the operations of intersections
- Improve sight distance at intersections
- Improve driver compliance with traffic control devices
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The End Goal
- It is estimated that deploying these countermeasures will cost
$__M and prevent ____ fatalities and serious injuries over a _ year period.
- The projected Benefit‐Cost Ratio is approximately __:1
- With continued observation/evaluation, most successful
treatments to be considered for systemwide policy/standardization
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Recognizing the Systemic Approach
- New Emphasis in MAP‐21:
– “The term ‘systemic safety improvement’ means an improvement that is widely implemented based on high risk roadway features that are correlated with particular crash types, rather than crash frequency.”
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http://safety.fhwa.dot.gov/systemic
*Multiple ISIPs in TX
FAS-INT: Systemic Intersection Safety Plans
DC FLH PR
State considering or pursuing ISIP independent of HSA-FAS Intersection Safety Implementation Plan (ISIP) completed through HSA-FAS
From 2008-Current
SHSP objective & recent trajectory
- 2015 objective: Reduce KA intersection crashes by 5% (2010)
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19% 16%
SHSP objective & recent trajectory
- Latest raw data suggest these may be out of sync
- Good opportunity to consider other approaches
(e.g., systemic approach)
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ISIP derivation
- Texas SHSP
- FHWA support, national resources
- TxDOT inputs
- MPO inputs
Texas ISIP
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- Local agency inputs
FHWA ISIP process
Overarching goals of Texas ISIP Project
- 1. Prioritize intersection locations and
countermeasures for near-term implementation
- 2. Strengthen partnerships between TxDOT, MPOs,
local governments, and FHWA
- 3. Identify opportunities for enhancing Texas’s data
systems to allow for more robust systemic analyses in the future
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Basics
- Analysis period:
– January 2010 – December 2014
- Focused on Texas’s 5
largest MPOs:
– San Antonio (AAMPO) – Austin (CAMPO) – El Paso (El Paso MPO) – Houston (H-GAC) – Dallas-Fort Worth (NCTCOG)
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Intersection crashes by severity and year
Year Fatal A B C PDO Unknown Total KA %KA 2010 330 2,672 12,760 24,774 69,033 1,921 111,490 3,002 2.69% 2011 372 2,609 12,275 24,661 65,753 1,994 107,664 2,981 2.77% 2012 428 2,906 13,359 26,086 67,878 1,460 112,117 3,334 2.97% 2013 372 3,133 14,757 27,676 79,813 2,150 127,901 3,505 2.74% 2014 415 3,240 15,502 29,856 91,812 2,431 143,256 3,655 2.55% Subtotal 1,917 14,560 68,653 133,053 374,289 9,956 602,428 16,477 2.74%
For 5 MPOs combined 45
Systemic analysis | concept meets reality
- Data challenges
– No single statewide intersection database – Traffic volume data not widely available for non State- maintained routes
- What is available?
– MPO TAZ shapefiles area type (rural/urban) – TxDOT RHiNo database classification of maintaining agency – CRIS database traffic control type as recorded by the reporting officer – ESRI Street file node location in GIS
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Distribution of intersections and KA intersection crashes by area type and traffic control
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Most significant
- verrepresentation
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Summary & recommendation for TX ISIP
- KA crashes comprise less than 3% of
crashes but 47% of the costs
- 90% of KA crashes are in urban areas
- Nearly 50/50 split of KA crashes
between State & Local intersections
- Signalized intersections are
significantly overrepresented in terms of proportion of KA crashes
- vs. proportion of intersections
Focus on State & Local Urban Signalized intersections
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Dallas-Fort Worth area | ≥1 KA crash
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Dallas-Fort Worth area | ≥3 KA crashes
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Potential crash thresholds for systemic treatments
Crash Threshold KA Crashes Intersections
- Avg. Per‐Intersection Funding
(assuming $45M funding) Number Percent Number Percent 1 or more KA crash 7,212 100.0% 4,789 100.0% $9,397 2 or more KA crashes 3,797 52.6% 1,374 28.7% $32,751 3 or more KA crashes 2,021 28.0% 486 10.1% $92,593 4 or more KA crashes 1178 16.3% 210 4.4% $214,286
- For example, more than half of the KA intersection crashes could be
addressed by targeting just 29% of the KA intersection crash locations
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Random Intersection Inventory
- Identified 100 urban signalized intersections under State or
local control that had 2 or more KA crashes during study period
- No. of intersections from each region was roughly
proportional to no. of KA crashes by region
- Utilized Google Earth and Streetview
– Maximize information gathered
Random intersections | Statewide (100)
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Roadway attributes
- 19 of every 20 had some form of
lighting fixture
- 15 of every 16 sites were not noted to
be offset and/or skewed
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LT Arrangement by Approach
- Considering approaches from which left turns were
permitted:
– 70% have exclusive LT lanes or – Only 4% have dual LT lanes
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Traffic Control Count
Pedestrian signals 86% Signal head per lane 78% Backplates 54% Automated red light enforcement (cameras) 37% Advance Signal Ahead warning sign 29% Advance street name sign 26% No Turn on Red sign 19% Red light indicator lights 7% Flashing beacons on advance Signal Ahead sign 3% Advance control detection system 2%
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Inventory to Countermeasures
- Knowing the estimated level of countermeasure deployment
allows the plan to estimate additional deployments of low cost countermeasures
- Builds on sources including FHWA, TxDOT, research
Key Systemic Countermeasures
- Stop‐Controlled Intersections
– Basic set of sign and marking improvements – Improve sight distance for speed limits
- Signalized Intersections
– Basic set of sign and marking improvements – Install one signal head per lane – Retime Traffic Signals including change intervals – Protected‐only left turn phases
- Both Stop‐Controlled and Signalized Intersections
– Access management of high volume driveways within 50‐100 feet – Delineate or remove fixed objects at intersections
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Benefits:
- Provides visual benefits during both
daytime and nighttime conditions
- Enhanced signal visibility for aging
and color vision impaired drivers.
- May alert drivers to signals during
periods of power outages when the signals would otherwise be dark.
Backplates with Retroreflective Borders
Low Cost – Big Safety Benefit
Costs range from $35 for adding reflective tape to existing backplates to $56‐110 for replacing the backplates with reflective material already incorporated A 15 percent reduction in all crash types—a crash modification factor (CMF) of 0.85 (2005 study by Sayed et al)
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Straw Man Outline and Packaging of Safety Countermeasures
Desired countermeasure characteristics
- Potential for widespread use
- Potential impact to severe crashes
- Easy deployment
- Low cost
- Favorable benefit-cost ratio
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Straw Man outline
- Represents high-level benefit/cost analysis
- 5-year analysis period is common
- Comprises estimates of key characteristics:
– Crash reduction factor – Current and potential deployment levels – Construction and maintenance costs – Potential no. and economic benefits of crashes prevented – B/C ratio
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Deployment levels
- Existing
– Estimate based on random intersection inventory
- Potential
– Considers existing applications and target crash types – Estimates will be made on applicability where no inventory could be made (e.g., clearance interval adjustment)
- No. of potential installations across focus
intersections will be estimated
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Potential benefits
- In terms of anticipated KA crashes prevented
- Ties back to estimated no. of installations
- Converts crash savings into cost savings (NSC
method)
- Planning-level B/C ratio estimated
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Systemic approach | today & tomorrow
- Current ISIP effort
– Applying systemic principles – Using available data to derive risk factors, drive focus – Initial prioritization zeros in on sites with crash history
- Future ISIP efforts
– Opportunities to collect and share additional data attributes across all public roads? – Having traffic volume and geometric characteristic data would allow better identification of risk factor combos – Prioritization could reach beyond crash intersections to sites having similar combinations of risk factors
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Project next steps
- Complete planning-level B/C analysis
- Refine prioritized list of intersections
- Develop draft ISIP document
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