Rockfall monitoring system for improving road safety

Agioutantis, Z.; Mertikas, Stelios P.; Daskalakis, A.; Tripolitsiotis, Achilles; Kritikakis, G.; Apostolou, Evangelia; Steiakakis, C.; Kaplanidis, G.

doi:10.1201/b16955-166

Cited by 4 publications

(2 citation statements)

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“…The "ISTRIA" algorithm was implemented in the MATLAB technical computing language and employs an overlapping window (Trigger window parameter) to search for rock-fall events within the signal. In order to qualitatively test the performance of the algorithm an experimental setup was implemented and presented in [17]. There, the threshold value was set to mean ± 2σ, and the trigger and event duration windows to 5 ms and 3 ms respectively and it was found that a spacing of 15-30 m is adequate to capture rockfall incidents with an impact energy above 30 J.…”

Section: "Istria" Algorithm and Experimental Setupmentioning

confidence: 99%

Detection of small-scale rockfall incidents using their seismic signature

et al. 2015

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Several algorithms have been effectively used to identify the seismic signature of rockfall incidents, which constitute a significant threat for human lives and infrastructure especially when occurring along transportation networks. These algorithms have been mostly evaluated using data from large scale rockfall events that release a large amount of energy. However, low-energy rockfall events (< 100 Joules) triggered by small-sized individual rocks falling from small heights can be severely destructive. In this study, a three-parameter algorithm has been developed to identify low-energy rockfall events. An experimental setup was implemented to 1) validate the results obtained by this algorithm against visual inspection of seismic signals records, 2) define the optimal algorithm parameterization to minimize false alarms, and 3) investigate whether tri-axial vibration monitoring can be replaced by a uniaxial device in order to reduce the installation cost of a real-time rockfall monitoring system. It was found that the success rate of the proposed algorithm exceeds 80% independently of the parameters used, while event identification at a maximum distance with minimal false alarms was achieved when using mean ± 3σ as the threshold criterion and 6 ms and 4 ms as the trigger and event window parameters respectively. Finally, it was found that for the specific experimental setup, a uniaxial device could be used for rockfall event identification.

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Section: "Istria" Algorithm and Experimental Setupmentioning

confidence: 99%

Detection of small-scale rockfall incidents using their seismic signature

et al. 2015

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“…Another example is the large size rock fall at the area of Tempi, Central Greece causing one casualty and the closing of the national road for several months [2]. Similar incidents occur on a frequent basis in mountainous areas, significantly affecting the local and national economy, infrastructure and human safety [3]. This was in fact the motivation for the ongoing research project "ISTRIA" that aims to develop a cost effective, operational rockfall monitoring and warning system.…”

Section: Introductionmentioning

confidence: 98%

Rockfall detection along road networks using close range photogrammetry

et al. 2014

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Early warning for rockfall incidents occurring on slopes along highways and roads is a vital safety practice for both human lives and property loss. Monitoring systems mainly rely on laser scanners, distributed sensors and precision geodetic measurements. In this study, close range terrestrial photogrammetry is evaluated towards rockfall incident detection. Photogrammetry has been extensively used for 3D mapping and reconstruction of terrain and infrastructure mainly due to its relatively low implementation cost, compared to the above mentioned approaches, especially when using non-metric digital cameras. Yet, the underlying problems in terrestrial photogrammetry include processing time, precision, night capturing limitations, and various errors, including occlusion, camera geometry, lighting, etc. In the present paper, an experimental setup along with preliminary results of the terrain photogrammetry integration into an operational slope monitoring scheme are presented. More specifically, assessment of the detection limitations are provided in order to evaluate whether photogrammetry can constitute a cost-effective alternative for rapid surface and change detection processes. In addition, since false alarm incidents cause extensive resource draining, their magnitude and occurrence are also reported.

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