A Dynamic Traffic Assignment Model for the Sustainability of Pavement Performance

Mao, Xinhua; Wang, Jianwei; Cao, Yuan; Yu, Wei; Gan, Jiahua

doi:10.3390/su11010170

Cited by 21 publications

(14 citation statements)

References 49 publications

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“…In this regard, several studies have carried out pavement sustainability concepts or road sustainability for contributions that improve economic, road social and environmental aspects. For example, Mao et al [8] provides a method to improve pavement performance sustainability by a reasonable traffic flow assignment; Corriere and Rizzo [9] provide guidance for a methodological approach of sustainability in road design; Farooq et al [10], Yang et al [11] and Demasi et al [12] analyzed factors that contribute to traffic safety; in environmental sustainability, Montgomery et al [13] provide a wide range of ideas and options to improve the inclusion of environmental sustainability throughout the road project cycle.…”

Section: Introductionmentioning

confidence: 99%

Sustainable Road Maintenance Planning in Developing Countries Based on Pavement Management Systems: Case Study in Baja California, México

2019

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The objective of this research is to develop a useful procedure that allows the collection, analysis, processing and updating of pavement conditions data, with the vision of generating inputs for the implementation of sustainable strategies for maintenance and rehabilitation of roads, based on pavement management systems. The relevance of this proposal lies in the fact that road management agencies in most of the developing countries have limited resources, staff and data to plan the interventions carried out on road networks. The proposed model comes from a work that has been done since 2014 to date, on the Centinela-La Rumorosa Highway, located in the state of Baja California, Mexico. Results integrate data gathered from analyzing the surface and structural conditions of its pavement and the study area, as well as the operating conditions of the road, including a georeferencing process in order to determine critical points in the network, and simulation to determine the effects of maintenance work carried out annually. It is concluded that the proposed planning model contributes to the improvement of highway performance, since it allows planning and administering the allocation of resources in making appropriate maintenance and rehabilitation decisions. Additionally, it allows to generate valuable inputs for pavement management systems implementation. The foregoing allows road management agencies in developing countries to provide a quality transportation system to their users.Sustainability 2020, 12, 36 2 of 14 models to local conditions. In developing countries, road management agencies have limited resources and staff, and for this reason, obtaining such inputs implies a greater effort and challenge. In that case, Mexican administrative agencies have not been able to adopt a pavement management approach. Therefore, road maintenance and rehabilitation works are carried out reactively, and not proactively, once surface and structural failures occur; in general terms, it becomes complex for one-way managers to define a preventive strategy.As a result of the foregoing, as of the year 2014, a project which seeks to improve planning and decision-making regarding the M&R of a road section began. This project locates in a mountain range of Baja California, Mexico. The objective of this research is to develop a useful procedure that allows the collection, analysis, processing and updating of pavement conditions data, with the vision of generating inputs for the implementation of sustainable strategies for M&R of roads, based on pavement management systems.

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Section: Introductionmentioning

confidence: 99%

Sustainable Road Maintenance Planning in Developing Countries Based on Pavement Management Systems: Case Study in Baja California, México

2019

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“…While recognizing the importance of flexibility at the local scale, resilient planning argues for the need of a regional and national perspective [2,[9][10][11]. In the planning of road networks, this integrated outlook makes it possible to pursue overall objectives such as overall condition improvement [12][13][14][15][16] or safety performance [17], as well to contribute to the mitigation of the system's structural imbalances [18] and vulnerabilities [4,19]. Given the link between road networks and other essential facilities, such as hospital or schools, and their role in induced community vulnerability [20], reducing these networks' vulnerabilities and structural imbalances should be a primary objective for infrastructure planning.…”

Section: Implementation Planning and Decentralizationmentioning

confidence: 99%

Enhancing Sustainability and Resilience through Multi-Level Infrastructure Planning

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2020

IJERPH

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Resilient planning demands not only resilient actions, but also resilient implementation, which promotes adaptive capacity for the attainment of the planned objectives. This requires, in the case of multi-level infrastructure systems, the simultaneous pursuit of bottom-up infrastructure planning for the promotion of adaptive capacity, and of top-down approaches for the achievement of global objectives and the reduction of structural vulnerabilities and imbalances. Though several authors have pointed out the need to balance bottom-up flexibility with top-down hierarchical control for better plan implementation, very few methods have yet been developed with this aim, least of all with a multi-objective perspective. This work addressed this lack by including, for the first time, the mitigation of urban vulnerability, the improvement of road network condition, and the minimization of the economic cost as objectives in a resilient planning process in which both actions and their implementation are planned for a controlled, sustainable development. Building on Urban planning support system (UPSS), a previously developed planning tool, the improved planning support system affords a planning alternative over the Spanish road network, with the best multi-objective balance between optimization, risk, and opportunity. The planning process then formalizes local adaptive capacity as the capacity to vary the selected planning alternative within certain limits, and global risk control as the duties that should be achieved in exchange. Finally, by means of multi-objective optimization, the method reveals the multi-objective trade-offs between local opportunity, global risk, and rights and duties at local scale, thus providing deeper understanding for better informed decision-making.

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“…According to SUE model, the traffic volume of link s in a road network is Q s , which can be calculated by Equation 1in [28].…”

Section: General Sue Modelmentioning

confidence: 99%

“…However, Link I and Link J both have the lowest traffic volume, which leads to a minimum PSI loss The upper level of budget every year is US$ 45,000. For maintenance costs, we use the value of unit maintenance cost in Reference [28], which includes material expense, transportation fee, labor cost, tax, and so on. The other parameters are set as in Table 2.…”

Section: Optimal Maintenance Strategymentioning

confidence: 99%

Incorporating Dynamic Traffic Distribution into Pavement Maintenance Optimization Model

2019

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An optimal pavement maintenance strategy can keep the pavement performance at a high level under budget constraint. However, the impact of changes in traffic distribution caused by maintenance actions on user costs is rarely investigated in existing approaches. This research aims to solve the optimization of pavement maintenance strategy using a multi-stage dynamic programming model combined with the stochastic user equilibrium model, which can simulate the dynamic traffic distribution in the life cycle. To deal with the proposed model, a heuristic iterative algorithm is put forward. Ultimately, a hypothetical network is established to test the model and algorithm. The testing results prove that the proposed framework has an advantage in assessing user costs comprehensively and can provide an effective and optimal pavement maintenance strategy in a 30-year life cycle, which improves the efficiency of budget and pavement conditions. Additionally, this research provides quantitative evidence of interdependency in a road network, i.e., pavement maintenance actions on links can interfere with the user costs and traffic flow distribution in the whole network, which should be taken into account in pavement maintenance decision-making.

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A Dynamic Traffic Assignment Model for the Sustainability of Pavement Performance

Cited by 21 publications

References 49 publications

Sustainable Road Maintenance Planning in Developing Countries Based on Pavement Management Systems: Case Study in Baja California, México

Sustainable Road Maintenance Planning in Developing Countries Based on Pavement Management Systems: Case Study in Baja California, México

Enhancing Sustainability and Resilience through Multi-Level Infrastructure Planning

Incorporating Dynamic Traffic Distribution into Pavement Maintenance Optimization Model

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