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WSDOTUW Road Roughness Study

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Minivan Ford Windstar(10 participants 18%) RPUG 2003 - October 27, 2003 ... Minivan Vehicles. Good LOS ( B) Female Users. Freq Users of SR520. IRI ... – PowerPoint PPT presentation

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Title: WSDOTUW Road Roughness Study


1
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

2
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 States Joint Legislative
    Audit and Review Committee (JLARC)
  • Over 400 million of the state transportation
    budget is devoted to highway maintenance and
    preservation each year.

3
Study Characteristics
  • WSDOT sponsored research conducted by University
    of Washington
  • Identify factors that affect the publics
    perception of road roughness
  • Identify acceptable ride quality thresholds
  • When should a pavement be rehabilitated due to
    roughness?

4
Pavement Roughness Thresholds(Interstate
Facilities)
Source Federal Highway Administration (FHWA),
1999.
5
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

6
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

7
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?

8
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

9
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

10
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.
11
Summary Statistics Gender
12
Summary Statistics Income
13
Summary Statistics Age
14
Summary Statistics Education
15
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)

16
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 (lt 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

17
Study Vicinity
18
Study Loop
University Village
Eastgate PR
19
Summary of IRI Measurements
20
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)

21
Results Roughness Rankings vs. IRI
22
Results Roughness Rankings vs. IRI
23
Roughness Ranking vs IRI
5
5.0
4.5
4.0
4
3.5
3.0
Mean Perceived Roughness Ranking
Measured IRI (m/km)
3
2.5
2.0
1.5
2
1.0
0.5
1
0.0
Mean Rank by Drivers (1smooth, 5rough)
Measured IRI (m/km)
24
Roughness Ranking vs IRI(elevated segments)
5
300
250
4
200
Mean Perceived Roughness Ranking
Measured IRI (in/mi)
3
150
100
2
50
1
0
Roughness Rankings on Elevated Segments
Measured IRI (in/mi)
Roughess Rankings on Non-Elevated Segments
25
Roughness Ranking vs IRI (by pavement type and
elevated segments)
5
300
250
4
200
Mean Perceived Roughness Ranking
Measured IRI (in/mi)
3
150
100
2
50
1
0
Roughness Rankings on PCCP Segments
Measured IRI (in/mi)
Roughness Rankings on ACP Segments
Roughness Rankings on Elevated Segments
26
Acceptability Thresholds
27
Acceptability Thresholds
28
Acceptability Thresholds
29
Results Statistical Models
30
Study Conclusions
  • IRI does not fully capture drivers 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

31
State Trigger Values (1998)
Criteria dependent on highway type
32
2002 IRI Statistics
33
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?

34
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.e
    du/trac/bulkdisk/pdf/538.1.pdf)
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