Design Input Levels
Allows different levels of confidence in the design procedureAllows for different levels of design budgetsThe levels are:
Level 1 (Most Accurate) – Uses primarily measured dataLevel 2 – Uses primarily estimated input dataLevel 3 (Least Accurate) – Uses assumed input data
NJDOT PMS Modules
Highway DatabaseDynamic SectioningSection Data ReportingM&R Analysis & OptimizationProject Design AnalysisEngineering Feedback Analysis
Current Road Performance
HIGHWAY - RQI RANGE PLOT
Mi.
20.000 23.000 26.000 29.000 32.000 35.000 38.000 41.000 44.000 47.000 50.000
0.1-1.0
1.1-2.0
2.1-3.0
3.1-4.0
4.1-5.0
BC CO RC
Highway: I 295 0 0 N 0 20.000 - 50.000
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
Default Performance Models
ESAL 1 / SN 1
00.5
11.5
22.5
33.5
44.5
5
0 5 10 15 20Age (Years)
RQ
I
Mill 2" Overlay 4"
Mill 2" Overlay 6"
Mill 2" Overlay 2"
Overlay 2"
PartialReconstructionFullReconstruction
Detailed Layer InformationMaterial properties can be stored to increase accuracy level of rehabilitation activitiesMaterial variability and reliability information can be accumulatedLayer thickness and variability information from as-built documents, coring, and non-destructive methods (GPR)
Project Design Analysis
Standard or Staged AlternativesDetailed User Delay Cost AnalysisLife Cycle Cost Analysis
Life Cycle Analysis (RQI)
PROJECT INDEX PERFORMANCE PLOT
RQIp
RQIh
RQI- 1
RQI- 2
RQI- 3
Prj Yr
Index
Year
0
1
2
3
4
5
2000 2006 2012 2018 20242003 2009 2015 2021 2027
1998/07/23 ID: Example-FWDS Seg #: 1 Yr: 2000 HWY: ST 29 B 26.300 - 30.800
Life Cycle Analysis (SDI)
PROJECT INDEX PERFORMANCE PLOT
SDIp
SDIh
SDI- 1
SDI- 2
SDI- 3
Prj Yr
Index
Year
0
1
2
3
4
5
2000 2006 2012 2018 20242003 2009 2015 2021 2027
1998/07/23 ID: Example-FWDS Seg #: 1 Yr: 2000 HWY: ST 29 B 26.300 - 30.800
Feedback Analysis
Analysis of Historical DatabaseUpdate Prediction ModelsAnalyze Treatment EffectivenessTrack Work Programs
Index Prediction Models
Performance Prediction Models
0
2
4
6
8
10
0 5 10 15 20Age
Per
form
ance
ModelActual
Index Prediction Models
Performance Prediction Models
0
2
4
6
8
10
0 5 10 15 20Age
Per
form
ance Model
NewActual
Index Prediction Models
Performance Prediction Models
0
2
4
6
8
10
0 5 10 15 20Age
Per
form
ance Original Model
Revised 1ActualRevised 2