Presentation Transcript
WSDOT/UW Road Roughness Study: WSDOT/UW Road Roughness Study Research Study By:
Kevan Shafizadeh
University of Washington
Presented By:
N. Sivaneswaran (Siva)
Pavement Management Engineer
Washington State Department of Transportation
Study Motivation: Study Motivation A 1997 telephone survey of 508 Washington adults ranked “poor road surface/potholes/ruts” as the
second biggest problem with Washington interstates
(second only to congestion/inadequate capacity)
Source: Washington State’s Joint Legislative Audit and Review Committee (JLARC)
Over $400 million of the state transportation budget is devoted to highway maintenance and preservation each year.
Study Characteristics: Study Characteristics WSDOT sponsored research conducted by University of Washington
Identify factors that affect the public’s perception of road roughness
Identify “acceptable ride quality” thresholds
When should a pavement be rehabilitated due to roughness?
Pavement Roughness Thresholds(Interstate Facilities): Pavement Roughness Thresholds (Interstate Facilities) Source: Federal Highway Administration (FHWA), 1999.
WSDOT IRI Determination: WSDOT IRI Determination High speed profiler
Travels at posted speed
Conducted annually
All state highways
Both directions on divided highways
One direction on simple two way
Study Details: Study Details Phase I: Customer Survey
Mailout-Mailback Survey
General “customer satisfaction”
Phase II: In-Vehicle Study
40 road segments
I-5, SR-520, I-90, and I-405
Phase I: Customer Survey: Phase I: Customer Survey General opinion about roughness, road quality issues around Seattle area
Collected individual socio-demographic information
Gender, Age, Income, Education, etc.
Willingness to participate in a driving experiment?
Phase I: Customer Survey: Phase I: Customer Survey License plates were recorded of vehicles entering and exiting SR-520 near UW
Surveys were mailed out to individuals through the WA DOL with return postage
Completed surveys were mailed back to UW
Phase I: Customer Survey: Phase I: Customer Survey Over 2,800 license plates collected (Fall 2000)
2,570 surveys mailed to registered owners (Winter 2000)
529 Valid Surveys Returned
173 Valid Surveys with Contact Info
Phase I: Customer Survey: Phase I: Customer Survey General “customer satisfaction” information obtained from Seattle-Area commuters Note: Results based on 1-5 scale where 1 = excellent, 3= average, and 5 = poor.
Summary Statistics: Gender: Summary Statistics: Gender
Summary Statistics: Income: Summary Statistics: Income
Summary Statistics: Age: Summary Statistics: Age
Summary Statistics: Education: Summary Statistics: Education
Phase II: In-Vehicle Surveys: Phase II: In-Vehicle Surveys Individuals were surveyed for their perceptions of roughness while driving on 40 local freeway segments, controlling for:
In-Vehicle Noise
Vehicle Type
Vehicle Speed
Pavement Type
Start Location
Weather Conditions
Roughness (IRI)
Phase II: Segment Selection Criteria: Phase II: Segment Selection Criteria Freeway segment in Seattle study area that:
Is easily and safely traversable by drivers of varying abilities and in a reasonable amount of time (< 2 hrs)
Has consistent and homogenous attributes
Same Surface Type
Same Geometric Design (# of Lanes, Shoulder Widths)
Same Terrain
Similar IRI
Is separated by distinguishable and has easily identifiable features
Corresponds to locations where physical indices have been documented (Washington State Pavement Management System (WSPMS))
Samples a range of IRI values
Study Vicinity: Study Vicinity
Study “Loop”: Study “Loop” University Village Eastgate P&R
Summary of IRI Measurements: Summary of IRI Measurements
In-Vehicle Participants: In-Vehicle Participants 56 individual drivers
2240 driver-segments observations
Four different vehicle types
Midsize sedan - KIA Optima (18 participants – 32%)
Sport utility – Jeep Grand Cherokee(16 participants – 29%)
Pickup – Ford Ranger(12 participants – 21%)
Minivan – Ford Windstar(10 participants – 18%)
Results: Roughness Rankings vs. IRI: Results: Roughness Rankings vs. IRI
Results: Roughness Rankings vs. IRI: Results: Roughness Rankings vs. IRI
Roughness Ranking vs IRI: Roughness Ranking vs IRI 1 2 3 4 5 Mean Perceived Roughness Ranking 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 Measured IRI (m/km) Mean Rank by Drivers (1=smooth, 5=rough) Measured IRI (m/km)
Roughness Ranking vs IRI(elevated segments): Roughness Ranking vs IRI (elevated segments) 1 2 3 4 5 Mean Perceived Roughness Ranking 0 50 100 150 200 250 300 Measured IRI (in/mi) Roughness Rankings on Elevated Segments Roughess Rankings on Non-Elevated Segments Measured IRI (in/mi)
Roughness Ranking vs IRI (by pavement type and elevated segments): Roughness Ranking vs IRI (by pavement type and elevated segments) 1 2 3 4 5 Mean Perceived Roughness Ranking 0 50 100 150 200 250 300 Measured IRI (in/mi) Roughness Rankings on PCCP Segments Roughness Rankings on ACP Segments Measured IRI (in/mi) Roughness Rankings on Elevated Segments
Acceptability Thresholds: Acceptability Thresholds
Acceptability Thresholds: Acceptability Thresholds
Acceptability Thresholds: Acceptability Thresholds
Results: Statistical Models: Results: Statistical Models
Study Conclusions: Study Conclusions IRI does not fully capture driver’s perception of roughness, but it remains a very significant indicator
Acceptable thresholds, based on IRI, can be identified
Other important indicators
Partial slab replacement
Expansion joints
Studded tire wear
State Trigger Values (1998): State Trigger Values (1998) * Criteria dependent on highway type
2002 IRI Statistics: 2002 IRI Statistics
Additional Questions: Additional Questions Are smoother pavements lasting longer?
What IRI value shows improved pavement performance?
What IRI value should be used as a smoothness specification?
How should bonus/penalty be accessed?
Research Report: Research Report Shafizadeh, K., F. Mannering, and L. Pierce (2002). A Statistical Analysis of Factors Associated with Driver-Perceived Road Roughness on Urban Highways, Washington State Transportation Research Center. Research Report. WA-RD 583.1. June 2002. (http://depts.washington.edu/trac/bulkdisk/pdf/538.1.pdf)