1. Pavement Preservation Philosophy utilizing Pavement Management Systems

2. About the size of State of New Jersey Nationally 11th largest County
Riverside County has 7,300 square miles and is the 4th largest County in California
About the size of State of New Jersey
Nationally 11th largest County
1990 Population: 1.5 Million Est.
2010 Population: 2.2 Million Est.
2018 Population: 2.5 Million Est.
2030 Population: >3 Million Projected
28 cities, 4 new since 2008

3. Riverside County maintains the following infrastructures:
Over 2,200 miles of roadway
108 bridges
570 traffic signals
10 Maintenance Yards (Countywide)
Approximately $200M in Annual Capital Budget

4. TOTAL MILES (COUNTYWIDE)
FUNCTIONAL CLASSIFICATION
CENTERLINE
MILES
LANE MILES
PCI
Arterial
438
941 70
Collector
573
1,150 71
Residential/Local
948
1,882 74
Gravel/Dirt
248
490 -
TOTAL
2,207
4,463
Overall PCI
72 (Goal is 75 or higher)
The major roadway (arterial and collector) represents about 46% of the total roadway countywide and about 43% residential.

5. PAVEMENT MANAGEMENT Program – StreetSaver by MTC NEWLY PAVED
Uses PCI
NEWLY PAVED
FAILED ROAD

6. DETERIORATION CURVE
The pavement deterioration curve provides a graphical representation of the performance of the pavement. The curves vary based upon surface type and function classification. They are also categorized by pavement condition (Good, At risk, Poor, or Very poor) where thresholds are defined for different repair treatments along the deterioration path.

7. PAVEMENT INSPECTION Inspection every year on ¼ of road network
Visual inspection by two-man crew
Data collection using tablet device
Automated evaluation
GIS integration

8. DATA COLLECTION GPR – layer thickness FWD – structural condition
Coring – structural section

9. PAVEMENT PRESERVATION
Definition - a program employing a network level, long-term strategy by using an integrated, cost-effective set of practices that extend pavement life (FHWA).
County’s Objective - Preserving roads already in good condition.
spending taxpayer’s money in a cost-effective manner
developing treatment methodologies based on pavement condition by using BMPs

10. BEST MANAGEMENT PRACTICES
Achieving a target PCI
Seal Coat Treatment
Chip Seal
Slurry Seal
Cape Seal
Scrub Seal
Microsurfacing
Thin Overlays

11. SEAL COAT Chip/Seal Slurry/Cape/Scrub Seal/Micro 120+ miles per year
RAP Chip
Slurry/Cape/Scrub Seal/Micro
100+ miles per year
Type 2 RAP Chip

12. OVERLAYS Hot mix asphalt Rubberized hot mix asphalt 15% RAP
up to 2 inches thick
surface course – no RAP
Rubberized hot mix asphalt
crumb rubber from scrap tires

13. RESURFACING/RECONSTRUCT
Mill & Fill
Full Reconstruction
Recycling
CIR (partial)
FDR (full depth)

14. SEAL COAT PHOTOS

15. CIR PHOTOS

16. LESSONS LEARNED Slurry Seal Chip/Cape/Scrub Seal
Measurement & Payment – by TON
Full-time inspection
Testing – WTAT, portable truck scale, dipstick
Chip/Cape/Scrub Seal
Separate line item for emulsion and aggregate
Payment for emulsion by TON
Payment for aggregate by SQYD

17. LESSONS LEARNED CIR/FDR Construction timing – Summer/Fall
Longer cure time in cool weather
Swell factor (10%)
Tend to ravel if left uncovered for more than 3 days
Apply fog seal to control raveling
Cost effective for long straightaway roads with minimum road curves and utility valves

18. PMP EVALUATION CSU Chico – CP2 (Professor Ding Cheng)
Objective of the Pavement Management Program (PMP) study
Evaluate the County PMP software
Evaluate the decision tree – treatment types and costs
Evaluate various budget scenarios and PCI goals to help dictate the allocation options for pavement preservation and rehabilitation
Provide recommendations and cost effectiveness measures for improving the County PMP

19. DECISION TREE WITH LCC

20. BUDGET SCENARIOS
Three time periods (5, 10, and 20-year) were analyzed with various budget scenarios to determine the most effective approach to improve the average network PCI.
For this presentation, the 5-yr and 10-yr scenarios with the SB1 funding will be covered.

21. DETERMINATION FACTORS
The various budget scenarios were evaluated based on 4 factors:
Network PCI
Deferred Maintenance Cost
Average Remaining Life
Total Overall Cost
The study focused on these 4 factors in evaluating the best budget scenarios that would provide the lowest amount of deferred maintenance cost while maintaining or improving the network average PCI.

22. 5-YEAR SCENARIO
This graph shows the 5-yr trend of deferred maintenance cost and the network PCI based on the percent preventive maintenance.
For this scenario, it can be seen that at 30% PM, the deferred maintenance is at its lowest (which is the desired criterion) while maintaining or holding the PCI at 75. This leads to the conclusion that the best preventive maintenance for this scenario is 30%.

23. 5-YEAR SCENARIO 2018 condition 2022 condition Very good 3487
Good (Non- load)
534
Good (Load)
339
Poor
464
Very Poor
223
Very good
4071
Good (Non- load)
374
Good (Load) 47
Poor
144
Very Poor
420
Displayed is a product of the GIS Reporting tool for the 5-yr scenario with 4% inflation and the most favorable result of this scenario. The image on the left is 2018’s report and the image to the right is the scenarios projection in There is a decrease in the poor and very poor conditions from 2018 to 2022, and an increase in the very good conditions. Green is for very good conditions and red is for the very poor conditions.

24. 10-YEAR SCENARIO
This graph shows the 10-yr trend of deferred maintenance cost and the network PCI based on the percent preventive maintenance. What’s not shown in this graph is the deferred maintenance line at 10 and 15% PM and their corresponding PCI. At those 2 PMs, the PCIs are at 77 with a negative slope or trending downward.
For this scenario, 20% PM is the best budget scenario because it has highest network average PCI of 77 and lowest deferred maintenance costs out of cases run.

25. 10-YEAR SCENARIO 2018 condition 2027 condition Very Good 3524
Good (Non-Load)
531
Good (Load)
332
Poor
436
Very Poor
231
The difference between 2018 and 2027 is noticeable, as it did reach a PCI of 77 on the projection table.
Very Good
4376
Good (Non-Load)
455
Good (Load) 82
Poor
Very Poor
141

26. SUMMARY OF FINDINGS
SB 1 funding with 30% PM and 4% inflation has increased the PCI to 75 for the 5-year scenario.
SB 1 funding with 20% PM and 4% inflation has increased the PCI to 77 for the 10-year scenario.

27. RECOMMENDATIONS
Continually update the costs and service life for each treatment in the decision tree.
A life cycle cost analysis should be used to select proper treatments for future decision tree update.
A balance of preservation and rehab or reconstruction should be utilized to improve the County’s pavement conditions. Keys to achieve the desired PCI include the following:
Optimize percentages for PM and Rehab (use lowest deferred maintenance cost)
Use innovative treatments that can improve life cycle cost

28. QUESTIONS? Mojahed Salama – Deputy Director of Transportation
Phone: (951)
Elmer Datuin – Materials Engineer/Lab Manager
Phone: (951)