A Spatial‐Bayesian Technique for Imputing Pavement Network Repair Data

Saliminejad, Siamak; Gharaibeh, Nasir G.

doi:10.1111/j.1467-8667.2012.00762.x

Cited by 32 publications

(15 citation statements)

References 29 publications

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“…NBC [39] is a member of the bayesian classifiers family [38,57]. It is designed for use when features are independent of one another within each class, but it appears to work well in prac-tice in other circumstances.…”

Section: Classification Methodsmentioning

confidence: 99%

Pedestrian detection in far infrared images

Olmeda

Premebida

Nunes

et al. 2013

ICA

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This paper presents an experimental study on pedestrian classification and detection in far infrared (FIR) images. The study includes an in-depth evaluation of several combinations of features and classifiers, which include features previously used for daylight scenarios, as well as a new descriptor (HOPE -Histograms of Oriented Phase Energy), specifically targeted to infrared images, and a new adaptation of a latent variable SVM approach to FIR images. The presented results are validated on a new classification and detection dataset of FIR images collected in outdoor environments from a moving vehicle. The classification space contains 16152 pedestrians and 65440 background samples evenly selected from several sequences acquired at different temperatures and different illumination conditions. The detection dataset consist on 15224 images with ground truth information. The authors are making this dataset public for benchmarking new detectors in the area of intelligent vehicles and field robotics applications.

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Section: Classification Methodsmentioning

confidence: 99%

Pedestrian detection in far infrared images

Olmeda

Premebida

Nunes

et al. 2013

ICA

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“…In this context, fuzzy set theory could be applied to represent these uncertain characteristics more realistically. Since its introduction over 40 years ago (Zadeh, ), fuzzy set theory has been utilized to solve numerous infrastructure engineering issues (Adeli and Hung, ; Sarma and Adeli, , , ; Adeli and Karim, ; Samant and Adeli, ; Karim and Adeli, ; Jiang and Adeli, , ; Adeli and Jiang, , ; Bianchini and Bandini, ; Tagherouit et al., ; Anoop et al., ; Bianchini, ; Graf et al., ; Hsiao et al., ; Saliminejad and Gharaibeh, ; Li et al., ; Dell'Orco and Mellano, ), including tunnel‐related issues. For example, Harrison and Hudson () develop an expression for the fuzzy factor of safety and extend this method to evaluate the potential for underground rock spalling at the boundary of a circular excavation in terms of strength and in situ rock stress.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Analytic Hierarchy Process Synthetic Evaluation Models for the Health Monitoring of Shield Tunnels

Wei

Sun

Lei

et al. 2014

Computer aided Civil Eng

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Many uncertainties remain in tunnel health evaluation due to a lack of specific information, data scarcity, misleading or conflicting information due to the complex nature of geo‐materials, and even the ambiguity in the concept of tunnel health. This article addresses the fuzzy analytic hierarchy process (AHP) synthetic evaluation models, which merge different types of data from multiple sensors to map them into the health rating scores of shield tunnels. A piecewise distribution was chosen for membership functions, and an exponential scale was introduced for a better characterization of the scales for weight sets. A series of fuzzy operation symbols, namely fuzzy operators, were defined to yield the fuzzy synthetic evaluation indexes (FSEIs) for monitoring factors. The fuzzy‐AHP evaluation procedure applied to the models was demonstrated. Moreover, a case study on Nanjing Yangtze River Tunnel was presented to verify the feasibility and efficiency of the models and the procedure. The fuzzy‐AHP health evaluations for monitoring factors, segments, rings, and the whole tunnel were implemented in succession using the models and following the procedure. The calculated FSEIs were compared with the rating scales to determine the corresponding action strategies. The segments with poor health conditions can then be identified for administrative maintenance or repairing measures. Such evaluation results will enhance the knowledge of designers and aid them for optimization when they are designing similar tunnels. The investigations indicate that the proposed fuzzy‐AHP models characterize the fuzziness of tunnel health well and will be useful for clarifying the tunnel health evaluation uncertainties to both designers and administrators.

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“…1). Based on this information, pavement condition prediction models can be created and assigned to the network pavement uniform segments (Braga, Čygas 2002;Saliminejad, Gharaibeh 2012;Sivilevičius, Petkevičius 2002). When these predictions are combined with the specific treatment policies, the PMS optimizes the extend and timing of the repairs using various algorithms, such as prioritization, enumeration, linear-, non-linear-and dynamic programming, genetic algorithm etc.…”

Section: Introductionmentioning

confidence: 99%

Elements of pavement management system: case study

Zofka

Josen²,

Paliukaitė

et al. 2014

The Baltic Journal of Road and Bridge Engineering

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This paper presents the elements of a Pavement Management System with a particular focus on the initial effort to create a comprehensive data archive and its further application in four different maintenance strategies. Pavement performance indicators including longitudinal and transverse cracking as well as roughness were investigated with respect to numerous distinct factors which can be grouped into three categories, i.e. climatic, pavement structure, and traffic-related. High-quality climatic data was obtained from the national weather stations in Connecticut. Maintenance and construction data was used to determine the pavement age and structure amongst several other factors. Traffic data was acquired from the state records and accumulated traffic loading was estimated for all segments based on their age. High definition pavement images collected by the Automatic Road Analyzer vehicle in 2010 were used to quantify the longitudinal and transverse cracking with respect to their location within the pavement surface. Elements of the Pavement Management System with stochastic elements were created from this data and analyzed in order to demonstrate the budget implications under four different management scenarios. Scenarios varied by the trigger values of the Pavement Condition Index for considered maintenance treatments. The 20-year projection analysis clearly showed the benefit of repairing pavements that are still in a good condition even without considering related user-delay costs and/or vehicle-operation costs which would only heighten the differences between scenarios.

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A Spatial‐Bayesian Technique for Imputing Pavement Network Repair Data

Cited by 32 publications

References 29 publications

Pedestrian detection in far infrared images

Pedestrian detection in far infrared images

Fuzzy Analytic Hierarchy Process Synthetic Evaluation Models for the Health Monitoring of Shield Tunnels

Elements of pavement management system: case study

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