Estimating road management equipment inventory needs and associated purchase costs

Yang, Choong Heon; Regan, Amelia; Kim, In Su

doi:10.1016/j.tranpol.2014.09.009

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…en, the normalized values can be converted into specific scores using the conversion equations shown in Table 1. ese equations correspond to the normalized Z values in a series of intervals to define a 100-point scale [19,20]. e final conversion score will allow users to intuitively grasp the risk levels associated with road surface damage.…”

Section: Road Hazard Indexmentioning

confidence: 99%

Road Hazard Assessment Using Pothole and Traffic Data in South Korea

Yang

Kim

Shin

2021

Journal of Advanced Transportation

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Road surface conditions have a direct effect on the quality of driving, which in turn affects overall traffic flow. Many studies have been conducted to accurately identify road surface conditions using diverse technologies. However, these previously proposed methods may still be insufficient to estimate actual risks along the roads because the exact road risk levels cannot be determined from only road surface damage data. The actual risk level of the road must be derived by considering both the road surface damage data as well as other factors such as speed. In this study, the road hazard index is proposed using smartphone-obtained pothole and traffic data to represent the level of risk due to road surface conditions. The relevant algorithm and its operating system are developed to produce the estimated index values that are classified into four levels of road risk. This road hazard index can assist road agencies in establishing road maintenance plans and budgets and will allow drivers to minimize the risk of accidents by adjusting their driving speeds in advance of dangerous road conditions. To demonstrate the proposed risk hazard assessment methodology, road hazards were assessed along specific test road sections based on observed pothole and historical travel speed data. It was found that the proposed methodology provides a rational method for improving traffic safety.

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Section: Road Hazard Indexmentioning

confidence: 99%

Road Hazard Assessment Using Pothole and Traffic Data in South Korea

Yang

Kim

Shin

2021

Journal of Advanced Transportation

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“…As the forest road network was predominantly built in the second half of the last century, and the surface of the forest roads were designed for a life span of 20 years at least, the time is now coming when most of the financial resources intended for forest roads will have to be used for the repair and reconstruction of the existing forest road network rather than to build new roads. However, this is a worldwide trend, as illustrated by the focus on a broad range of recently published papers on forest roads and forest access; Yang et al (2014) mentioned that the increasing proportion of funding needed for the maintenance and repair of forest roads arises not only for the reason of quality infrastructure for timber transport, but also for the requirements of the general public concerning high-quality forest roads for recreational purposes. Similarly, Potočnik et al (2005) published his opinion that in the conditions of public access to the forest ecosystem and the use of the forest road network for recreational purposes the requirements for common maintenance of the forest roads are higher.…”

Section: Introductionmentioning

confidence: 99%

Monitoring of Forest Hauling Roads Wearing Course Damage Using Unmanned Aerial Systems

Hrůza¹,

Mikita²,

Janata³

2016

Acta Univ. Agric. Silvic. Mendelianae Brun.

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Currently, a large part of the forest roads that were built using the bituminous surface technology in the second half of the last century have been worn out. This means that forest owners and forest managers urgently need to determine the amount and extent of this damage and establish a suitable repair plan, which demands both time and staff. The aim of the study is to verify whether it is possible, and with what precision, to detect the damage of the wearing course by means of unmanned aerial systems, which would facilitate and accelerate this process and possibly make it cheaper. A 3D model of a forest road was created using photos of the current state of a damaged part of a forest road. The aerial photographs were taken by an unmanned aircraft. To verify the accuracy of the model, cross sections of the road surface were surveyed tachymetrically and compared with the cross sections created in the 3D model in ArcMap, from photogrammetric pointcloud using aerial photographs from the unmanned aircraft. The RMSE of the values of the control points in the 3D model cross sections compared to the values of the points in the tachymetric measurement of the cross sections reached to within 0.0198 m. The results of the tested road section showed that the unmanned aerial systems can be used to detect the forest road surface damage with the difference in accuracy being up to 2 cm compared with the accuracy of the current tachymetric methods. Based on the results we can conclude that the used method is appropriate for detailed monitoring of the condition of the asphalt wearing course of forest roads and allows for a precise and objective localization and quantification of damage.

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