Best practices to support and improve pavement management systems for low-volume paved roads

Hafez, Marwan; Ksaibati, Khaled; Atadero, Rebecca A.

doi:10.1080/10298436.2017.1316648

Cited by 18 publications

(14 citation statements)

References 2 publications

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“…Table 4 lists treatment strategies followed by CDOT on LVRs. In fact, overlay application is very limited and it is applied to LVRs occasionally or as funds are available (Hafez et al 2017b). Also, the lack of pre-overlay treatments affects the performance of overlays when they are placed directly on severely distressed pavements.…”

Section: R a F Tmentioning

confidence: 99%

“…There are approximately $12.8M expended on LVRs state-wide as maintenance funding. A previous survey shows that the total budget is recommended to be equally distributed on three condition levels which are: (1) worst segments, (2) rapidly deteriorating segments, and (3) segments requiring a routine maintenance (Hafez et al 2017b). Accordingly, one third of the total available budget was assigned to the deteriorated LVRs with marginal conditions which D r a f t represent 18% of the whole network in Colorado.…”

Section: Pavement Maintenance Strategiesmentioning

confidence: 99%

“…Lowvolume roads provide access to remote regions and typically have Annual Average Daily Traffic (AADT) of less than 400 vehicles per day (FHWA 2009). Yet, the upper limit of traffic volumes for LVRs differs among state DOTs depending on the management needs and size of road networks (Hafez et al 2017b). The prior experience reveals many challenges while managing LVRs.…”

Section: Introductionmentioning

confidence: 99%

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Integration of optimization methodology to evaluate pavement maintenance strategies for deteriorated low-volume roads

2019

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Low-volume roads (LVRs) are restricted with limited maintenance funding due to the recent national economic downturn. Only few selected LVRs with deteriorated pavements are typically rehabilitated in which poor LVRs are expected to continue deteriorating to extreme levels of distress. Colorado Department of Transportation (CDOT) is evaluating pavement treatments on LVRs to find the most cost-effective maintenance strategies. As part of these efforts, a comprehensive optimization analysis is adopted in this paper to investigate alternative maintenance strategies and define the capital improvement plans for deteriorated LVRs with marginal pavement conditions. A proposed strategy was found to enhance the effectiveness of current policies followed by CDOT. However, the results emphasize the need for additional resources at network level for dealing with deteriorated LVRs. The optimization procedure described in this paper can be followed by other agencies nationwide to identify strategies and establish funding needs that secure higher funding from decision makers.

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Section: R a F Tmentioning

confidence: 99%

Section: Pavement Maintenance Strategiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Integration of optimization methodology to evaluate pavement maintenance strategies for deteriorated low-volume roads

2019

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“…Moreover, systematic and random errors can highly distort some output parameters of PMS (pavement management system), even in error ranges that may be considered acceptable in practice [9]. IRI and PCI are two common used performance indices to characterize pavement performance at both network-level and project-level for both urban roads and highways [5,6,[9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Comparing of Data Collection for Network Level Pavement Management of Urban Roads and Highways

Wang

Yue

2020

Journal of Advanced Transportation

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Pavement condition data are collected by agencies to support pavement management system (PMS) for decision-making purpose as well as to construct performance model. The cost of pavement data collection increases with the increase of survey frequencies. However, a lower monitoring frequency could lead to unreliable maintenance decisions. It is necessary to understand the influence of monitoring frequencies on maintenance decision by considering the reliability of performance prediction models. Because of different maintenance conditions of urban roads and highways, their performance show different trends. In this paper, the influence of pavement monitoring frequency on the pavement performance models was investigated. The results indicate that low collection frequencies may result in delay in maintenance action by overestimating pavement performance. The collection frequency for Pavement Condition Index (PCI) can be reduced without compromising the accuracy of performance model, more work should be done to ensure the PCI data quality, thus to guarantee the rationality of maintenance decisions. Effect of frequency reduction on pavement performance (IRI) models of urban roads seems greater than on pavement performance (IRI) models of highways, which may lead to heavier monitoring work for urban roads management. This paper provided an example which demonstrated how a comparative analysis can be performed to determine whether the current data collection plan can provide sufficient data for time series analysis.

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“…According to the definition of the Manual on Uniform Traffic Control Devices, roads are considered low volume when the average daily traffic (ADT) is less than 400 vehicles per day ( 5 ). However, most DOTs consider reasonable traffic ranges of high-, medium-, and low-volume roads to keep the road network of each type in manageable sizes ( 6 ). According to CDOT, LVRs are defined as roads carrying ADT of less than 2,000 vehicles per day and average daily truck traffic (ADTT) of less than 100 vehicles per day, due to the high traffic distributions in Colorado ( 3 ).…”

Section: Introductionmentioning

confidence: 99%

Applying Large-Scale Optimization to Evaluate Pavement Maintenance Alternatives for Low-Volume Roads using Genetic Algorithms

Hafez

Ksaibati

Atadero

2018

Transportation Research Record: Journal of the Transportation R

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Over the last decade, significant progress has been made to customize the maintenance policies of low-volume roads (LVRs) to local needs and available resources. Low-cost treatments and surface repairs are extensively employed to reduce annual maintenance costs. Colorado Department of Transportation (CDOT) uses chip seals and thin overlays as the available treatment options applied to LVRs. However, the effectiveness of these treatments differs depending on the existing condition of pavements. Some surface treatments and light rehabilitations provide only short-term effectiveness. Multi-year optimization techniques can support decision makers with a set of optimal maintenance activities to achieve specific pavement performance targets. This study applies large-scale optimization to compare the current CDOT maintenance policy with an alternative strategy recommended for low-volume paved roads in Colorado. Genetic algorithms were applied in the optimization models because they are capable of resolving the computational complexity of optimization problems in a timely fashion. The optimized maintenance alternatives were comprehensively investigated for a LVR network in Colorado over a specific planning horizon. The specific optimization constraints and limitations prevailing in LVRs are addressed and introduced in the problem formulation of the optimization process. The results of both performance and cost analysis emphasize the effectiveness of the proposed maintenance strategy compared with the existing one. The alternative policy provides much more benefit-cost saving while preserving the overall pavement performance of the network. This approach is expected to be efficient to quantify the mid- and long-term financial impact of different treatment policies applied to LVRs within modest resources.

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Best practices to support and improve pavement management systems for low-volume paved roads

Cited by 18 publications

References 2 publications

Integration of optimization methodology to evaluate pavement maintenance strategies for deteriorated low-volume roads

Integration of optimization methodology to evaluate pavement maintenance strategies for deteriorated low-volume roads

Comparing of Data Collection for Network Level Pavement Management of Urban Roads and Highways

Applying Large-Scale Optimization to Evaluate Pavement Maintenance Alternatives for Low-Volume Roads using Genetic Algorithms

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