A review on the impacts of connected vehicles on pavement management systems

Entezari, Mohammad Saleh; Golroo, Amir

doi:10.1080/10298436.2023.2246093

Cited by 4 publications

(1 citation statement)

References 102 publications

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“…Wang et al used fuzzy c-means clustering and morphology restoration methods on 2D color photos to identify potholes on asphalt roads [6]. Nienaber et al utilized computational imaging to detect roadway potholes and exclude undesired things like vehicles and vegetation from the picture [7]. Frames are analyzed using basic image processing methods like Canny filters and contour recognition to identify potholes.…”

Section: Background and Surveymentioning

confidence: 99%

ISpot: An intelligent real-time pothole spot identification model using a CNN algorithm

Patthi,

Padhy

2024

MATEC Web Conf.

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Maintaining roads is a very intricate and significant global concern. Detecting road abnormalities, including potholes, is crucial in road monitoring and management. Identifying potholes is essential to minimize road accidents and car damage and improve travel comfort. Authorities have long seen road maintenance as a significant concern. However, the absence of accurate identification and connecting of road potholes exacerbates the problem. An end-to-end system named Intelligent Spotting (iSpot) of Pathole has been developed to address this issue by providing real-time identification, tracking, and geographical mapping of potholes around the city. A Convolutional Neural Network (CNN) framework is suggested and assessed using a real-world dataset for detecting potholes. Real-time maps displaying pothole locations are created using the Google Maps Application Programming Interface (API). Both pothole identification and mapping are combined into an Android application to offer a comprehensive service via this technology. The suggested model outperforms the baseline techniques regarding accuracy, precision, and F score.

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Section: Background and Surveymentioning

confidence: 99%

ISpot: An intelligent real-time pothole spot identification model using a CNN algorithm

Patthi,

Padhy

2024

MATEC Web Conf.

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Efficient Packet Handling Mechanism In MQTT During Emergency Message Dissemination In Internet of Vehicles

Manikandan,

Bhaskar,

Menon

et al. 2023

2023 International Conference on Next Generation Electronics (NEleX)

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Monitoring data motivated health condition assessment of cement concrete pavements in field based on FBG sensing technology

Wang,

Wu,

Zhang

et al. 2024

Structural Health Monitoring

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Health condition of cement concrete pavements in field is difficult to characterize due to the random action of traffic loads and environmental variations. It is also difficult to accurately get the deformation merely based on theoretical or simulation analysis, for the heterogeneous material and complicated interfacial bonding properties of multilayered concrete pavements. Therefore, in situ health monitoring is particularly significant for structural condition assessment. To contribute this topic, improved fiber Bragg grating sensors have been designed and embedded in the two-layered pavement to measure the strain, deformation, and temperature. Deformation information of the cement concrete pavement under environmental action in about 3 years has been analyzed. Data analysis indicates that the longitudinal and transverse deformations of the pavement have behaved in nonuniform distribution, and local points suffered from the large tensile strains. The vertical measurement data declared that local interfacial micro void defects existed in the soil base and kept stable during the following 3 years. The temperature variation inside the pavement was highly correlated with the environmental temperature, and the variation amplitude was relatively smaller than the environmental temperatures, with the maximum amplitude smaller than 4°C. The load and temperature transfer principles in different layers have also been checked. Generally, the monitoring data in field from the year 2020 to year 2023 have declared that the concrete pavement has good performance to resist the combined action of traffic loads and environmental temperatures. The study can help to understand the actual structural performance of cement concrete pavements in field based on the optical fiber sensing system.

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A review on the impacts of connected vehicles on pavement management systems

Cited by 4 publications

References 102 publications

ISpot: An intelligent real-time pothole spot identification model using a CNN algorithm

ISpot: An intelligent real-time pothole spot identification model using a CNN algorithm

Efficient Packet Handling Mechanism In MQTT During Emergency Message Dissemination In Internet of Vehicles

Monitoring data motivated health condition assessment of cement concrete pavements in field based on FBG sensing technology

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