Corridor-Level Performance Measures to Support Cross-Asset Resource Allocation Strategies in Highway
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1 9 th National Conference on Transportation Asset Management Making Asset Management Work in Your Organization -Level Performance Measures to Support Cross-Asset Resource Allocation Strategies in Highway Mohammadsaied Dehghani Ph.D. Candidate, Center for Sustainable Transportation Infrastructure, VTTI Gerardo Flintsch Professor, The Via Department of Civil and Environmental Engineering Director, Center for Sustainable Transportation Infrastructure, VTTI Virginia Sustainable Pavement Research Consortium (VA-SPARC)
2 Outline o Introduction o Methodology o Case study o Applications o Summary/conclusion
3 Introduction - What s the Problem? Common quality scale is needed for crossasset resource allocation But each component contributed to the overall wellbeing of our road segment System
4 Objective o Developing a framework to aggregate performance of roadway assets into overall roadway performance measures for cross-asset resource allocation, tradeoff analysis, etc.
5 Background o Performance measures already developed for individual assets o Several studies trying to aggregate all different types of performance measures for one asset (e.g. COST method) o Aggregating performance of multiple assets into corridor-level (system-level) performance measures Not yet explicitly addressed
6 Pavements Cracking IRI Rutting FWD Data, etc. Environmental Safety First Attempt Pavement Rating Bridges Primary Members Abutments Piers Bridge Deck, etc. Environmental Safety Bridge Rating Rating Facilities Toll Plazas Weigh Stations, etc. Serviceability Facilities Rating Safety Features Pavement Markings Signs, etc. Serviceability Safety Features Rating Others
7 Performance s (PI) o Value based on quality measures o Reflects remaining time until quality measure exceeds acceptable limits o Scale 0 to Like New condition 0 Quality measure at unacceptable level o Calculation different for each asset Different quality measures available o Only step of method which is asset dependent
8 Quality Measures Pavements Cracking IRI Rutting FWD Data Etc Revised Methodology Performance s PI_Cracking PI_IRI PI_Rutting Asset Health s Safety Health s Bridges Primary Members Abutments Bridge Deck Other PI_Primary members PI_Abutment and Piers PI_Deck PI_Other elements Safety Overall Health Rating Safety Features Pavement signs Guard rails Pavement markings PI_Sign PI_Marking PI_Guardrail Safety Safety
9 Calculations Quality Measures Performance s Asset Health s Health s Pavements Cracking IRI Rutting FWD Data Etc PI_Cracking PI_IRI PI_Rutting Safety Bridges Primary Members Abutments Bridge Deck Other PI_Primary members PI_Abutment and Piers PI_Deck PI_Other elements Safety Overall Health Rating Safety Features Pavement signs Guard rails Pavement markings PI_Sign PI_Marking PI_Guardrail pkj Safety wij Safety z j k: type of quality measure j: Health type i: Asset type
10 Case Study Pavement (for every 0.1 mile) IRI Rut depth Longitudinal cracks Alligator cracks Transverse cracks I-1 North bound Mileage Assets Pavements Bridges Measures Bridges (five condition states) Primary members Deck Abutment and piers
11 Acknowledgement MP VDOT Tanveer Chowdhury, Raja Shekharan and William Duke (Office of Asset Management) Richard Thompson (Office of Structure and Bridge) Jeff Price (Operations Planning Division)
12 Calculations
13 Results - Pavements Milepost
14 Results - Bridges Mile
15 Results (cont.) Pavements Bridges Mile Mile
16 Homogenous corridor health indicators Continuous profiles for each indicator Results (cont.) Overall Health Rating Mile 7.6
17 Applications - Resource Allocation
18 Application (Simplified Example) Assets Pavements Bridges Health s Pavement Bridge Lane. Mile 4 - Area (ft 2 ) Required Budget ($) 1,500,000 Available Budget($) 1,000,000 Pavement Bridge Treatment Type Treatment Cost ($/Lanemile) Extended Life (Years) Maximum Gain (unit) Maximum Gain (unit) Preventive 10, Corrective 0, Restorative 200, Reconstruct/ Rehabilitate 500, Treatment Cost ($/ft 2 ) Extended Life (Years) Maximum Gain (unit) Maximum Gain (unit) Epoxy Overlay Deck Replacement Heavy Rehab Reconstruction
19 Application (Simplified Example) Scenario selected Treatment applied based on budget Performance averaged over 5 year analysis period Bridge Budget Share 50%..6 40% 30% 20% 10% % 60% 70% 0% 90% Pavement Budget Share Optimal allocation Overall
20 Future Research Consider more assets Consider other performance measures, particularly, safety, and environmental factors
21 Conclusion o Proposed method for homogenous aggregation of performance measures o For strategic level decision making Comparing investment trade-offs Support cross-asset resource allocation
22 Norfolk, VA, September, 19-21, th Symposium on Pavement Surface Characteristics SURF 2012 Smooth, Safe, Quiet, and Sustainable Travel through Innovative Technologies
23 9 th National Conference on Transportation Asset Management Making Asset Management Work in Your Organization -Level Performance Measures to Support Cross-Asset Resource Allocation Strategies in Highway For more information: Mohammadsaied Dehghani Ph.D. Candidate, Center for Sustainable Transportation Infrastructure, VTTI Virginia Sustainable Pavement Research Consortium (VA-SPARC)
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