Budget Allocation Models for Pavement Maintenance and Rehabilitation: Comparative Case Study

France-Mensah, Jojo; O’Brien, William J.

doi:10.1061/(asce)me.1943-5479.0000599

Cited by 58 publications

(10 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The effectiveness of asset management in the O&M phase would heavily rely on continuous data on asset conditions and performances and properly documented professional knowledge (Pärn et al 2017;France-Mensah and O'Brien 2018;Lu et al 2015;Lu et al 2018a). There have been a number of contributions by the academic community that enables the exploitation of BIM and digital technologies/tools in the through-life management of building and infrastructure assets.…”

Section: The State-of-the-art Of Dt Development In Aec/fm Sectormentioning

confidence: 99%

Developing a Digital Twin at Building and City Levels: Case Study of West Cambridge Campus

et al. 2020

View full text Add to dashboard Cite

A Digital Twin (DT) refers to a digital replica of physical assets, processes and systems. DTs integrate artificial intelligence, machine learning and data analytics to create living digital simulation models that are able to learn and update from multiple sources, and to represent and predict the current and future conditions of physical counterparts. However, the current activities related to DTs are still at an early stage with respect to buildings and other infrastructure assets from an architectural and engineering/construction point of view. Less attention has been paid to the operation & maintenance (O&M) phase, which is the longest time span in the asset life cycle. A systematic and clear architecture verified with practical use cases for constructing a DT would be the foremost step for effective operation and maintenance of buildings and cities. To this end, this paper presents a system architecture for DTs, which is specifically designed at both the building and city levels. Based on current research about multi-tier architectures, this proposed DT architecture enables integration of heterogeneous data sources, supports effective data querying and analysing, supports decision-making processes in O&M management, and further bridges the gap between human relationships with buildings/cities. Based on this architecture, a DT demonstrator of the West Cambridge site of the University of Cambridge was developed. This paper aims at going through the whole

show abstract

Section: The State-of-the-art Of Dt Development In Aec/fm Sectormentioning

confidence: 99%

Developing a Digital Twin at Building and City Levels: Case Study of West Cambridge Campus

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Moreover, rather than adopting an advanced optimization model or other numerical methods, another study strives to compare several different methods. For example, Mensah and O'Brien [48] examined three different methods developed an optimum budget allocation model for pavement maintenance and rehabilitation in a certain planning horizon. The methods utilized in this study were ranking-based, mathematical optimization integer linear programming (ILP), and data mining (DM) approach.…”

Section: Literature Reviewmentioning

confidence: 99%

An Integrated Optimization Model for Life Cycle Pavement Maintenance Budgeting Problems

2022

View full text Add to dashboard Cite

Driven by the demand to preserve the existing road pavement condition, the issue of selecting maintenance action at the appropriate time under budget limitation has attracted great attention from highway agencies. This study focuses on the strategy of how to manage pavement maintenance budget effectively on road network level based on life cycle cost analysis. The framework of resource-constrained project scheduling problem (RCPSP) is implemented to establish a maintenance action decision-making mechanism for allocating pavement maintenance budgets on the planning and controlling phases. In the RCPSP environment, a two-stage optimization model based on constraint programming techniques is developed to meet two different management goals such as 1. annual budget evaluation from planning points of view, and 2. actual budget adjustment from controlling points f view, by considering the factor of road usability. Model-I, the life cycle lifespan evaluation model solves the problem of annual budget evaluation to satisfy the maintenance requirements of all road sections. The optimal maintenance plan then can be made to maintain road performance and evaluate annual budget requirement for future years to maximize total maintenance benefits, in terms of the overall maximum pavement lifespan. Based on the suggested results of budget evaluation from Model-I, Model-II, the actual budget adjustment model deals with the actual budget allocation problem of how to keep up the original maintenance budget plan when the actual budget is always awarded insufficiently each year. Finally, the proposed two-stage integrated models provide an optimal maintenance strategy to respond to actual maintenance status and pavement deterioration as feedbacks to the actual budget adjustment model, and recursively make pavement maintenance strategy closer to actual conditions by budget adjustment yearly.

show abstract

“…However, when developing an M&R project plan for a pavement network, effectiveness is not the only standard to evaluate performance: recent studies [23,24], for example, incorporate an equity factor into this problem. e common evaluation metrics in assessment of equity in M&R projects are range in network condition score and standard deviation of road condition score [25]. In this study, we introduce two indicators to evaluate equity in the outcomes of various strategies.…”

Section: Comparative Analysis Between Agency and Government-mentioning

confidence: 99%

Multiobjective Optimization for Pavement Network Maintenance and Rehabilitation Programming: A Case Study in Shanghai, China

Sun

Zhou

et al. 2020

Mathematical Problems in Engineering

View full text Add to dashboard Cite

This study investigates the pavement network maintenance and rehabilitation (M&R) programming problem, over a certain planning horizon and in the context of limited funding. We designed an integer programming model to fulfill three purposes, namely, optimize the road conditions, minimize user disturbance costs, and minimize agency costs. We present a case study in which this model is applied to the pavement network of Shanghai. We investigate the results through the use of five M&R strategies, to identify the Pareto-optimal trade-offs inherent in developing pavement network M&R planning. The results demonstrate that there is a positive relationship between PCI improvement and user disturbance costs and between PCI improvement and agency costs. Additionally, we conduct a comparative analysis between agency and government-oriented strategies to evaluate the effectiveness and equity consideration. The findings suggest that the government-oriented strategy improves the pavement condition effectively with low user disturbance costs, and the agency-oriented strategy accounts for more equity consideration. Finally, we formulate an extension model that considers multiple road types, for application to pavement network M&R programming. The results show that light rehabilitation and preventive maintenance are the most frequently implemented treatments on arterial roads and secondary trunk roads from the case network implementation. This study helps decision-makers identify the trade-offs made when developing a pavement network M&R program.

show abstract

Budget Allocation Models for Pavement Maintenance and Rehabilitation: Comparative Case Study

Cited by 58 publications

References 43 publications

Developing a Digital Twin at Building and City Levels: Case Study of West Cambridge Campus

Developing a Digital Twin at Building and City Levels: Case Study of West Cambridge Campus

An Integrated Optimization Model for Life Cycle Pavement Maintenance Budgeting Problems

Multiobjective Optimization for Pavement Network Maintenance and Rehabilitation Programming: A Case Study in Shanghai, China

Contact Info

Product

Resources

About