Real-Time Slope Monitoring System and Risk Communication among Various Parties: Case Study for a Large-Scale Slope in Shenzhen, China

2021 ◽  
Vol 7 (4) ◽  
pp. 04021051
Author(s):  
N. Li ◽  
Y. Zhang ◽  
L. Huang
Keyword(s):  
Risk Communication ◽  
Real Time ◽  
Monitoring System ◽  
Large Scale ◽  
Slope Monitoring

scholarly journals Application of Optical Flow Technique and Photogrammetry for Rockfall Dynamics: A Case Study on a Field Test

2021 ◽  
Vol 13 (20) ◽  
pp. 4124
Author(s):  
Dong-Hyun Kim ◽  
Ivan Gratchev
Keyword(s):  
Optical Flow ◽  
Dynamic Behavior ◽  
Monitoring System ◽  
Field Test ◽  
Current Approach ◽  
Tracking Algorithm ◽  
Motion Data ◽  
Slope Monitoring

Optical flow is a vision-based approach that is used for tracking the movement of objects. This robust technique can be an effective tool for determining the source of failures on slope surfaces, including the dynamic behavior of rockfall. However, optical flow-based measurement still remains an issue as the data from optical flow algorithms can be affected by the varied photographing environment, such as weather and illuminations. To address such problems, this paper presents an optical flow-based tracking algorithm that can be employed to extract motion data from video records for slope monitoring. Additionally, a workflow combined with photogrammetry and the optical flow technique has been proposed for producing highly accurate estimations of rockfall motion. The effectiveness of the proposed approach has been evaluated with the dataset obtained from a photogrammetry survey of field rockfall tests performed by the authors in 2015. The results show that the workflow adopted in this study can be suitable to identify rockfall events overtime in a slope monitoring system. The limitations of the current approach are also discussed.

scholarly journals Measuring Traffic in Cities Through a Large-Scale Online Platform

2019 ◽  
Vol 1 (2-3) ◽  
pp. 161-173 ◽  
Author(s):  
Vilhelm Verendel ◽  
Sonia Yeh
Keyword(s):  
Real Time ◽  
Large Scale ◽  
Data Availability ◽  
Traffic Information ◽  
Traffic Data ◽  
Online Platform ◽  
Real Time Traffic ◽  
Data Source ◽  
Road Segments

Abstract Online real-time traffic data services could effectively deliver traffic information to people all over the world and provide large benefits to the society and research about cities. Yet, city-wide road network traffic data are often hard to come by on a large scale over a longer period of time. We collect, describe, and analyze traffic data for 45 cities from HERE, a major online real-time traffic information provider. We sampled the online platform for city traffic data every 5 min during 1 year, in total more than 5 million samples covering more than 300 thousand road segments. Our aim is to describe some of the practical issues surrounding the data that we experienced in working with this type of data source, as well as to explore the data patterns and see how this data source provides information to study traffic in cities. We focus on data availability to characterize how traffic information is available for different cities; it measures the share of road segments with real-time traffic information at a given time for a given city. We describe the patterns of real-time data availability, and evaluate methods to handle filling in missing speed data for road segments when real-time information was not available. We conduct a validation case study based on Swedish traffic sensor data and point out challenges for future validation. Our findings include (i) a case study of validating the HERE data against ground truth available for roads and lanes in a Swedish city, showing that real-time traffic data tends to follow dips in travel speed but miss instantaneous higher speed measured in some sensors, typically at times when there are fewer vehicles on the road; (ii) using time series clustering, we identify four clusters of cities with different types of measurement patterns; and (iii) a k-nearest neighbor-based method consistently outperforms other methods to fill in missing real-time traffic speeds. We illustrate how to work with this kind of traffic data source that is increasingly available to researchers, travellers, and city planners. Future work is needed to broaden the scope of validation, and to apply these methods to use online data for improving our knowledge of traffic in cities.

Real-Time Optimization of Transportation System for Earth-Rock Filled Dam Construction with GPS-Based Monitoring System

2011 ◽  
Vol 383-390 ◽  
pp. 2108-2115
Author(s):  
Dong Hai Liu ◽  
Kai Jiao ◽  
Jing Sun
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Large Scale ◽  
Analytical Calculation ◽  
State Parameter ◽  
Transportation System ◽  
Scientific Basis ◽  
Dam Construction ◽  
Site Condition ◽  
Real Time Scheduling

Although large effort has been done during earth-rock filled dam construction, the artificial-based management is hard to fulfill the need of large-scale mechanized construction. With transportation monitoring system, earth move vehicles can be overall monitored. Through analytical calculation, state parameter of each controlling unit of transportation system can be obtained. On the other side, simulating model is built and calculating program is written based on the specific analysis to transportation system. When the site condition changes during construction, simulating parameters are seated and simulating calculation is done. According to the results, sensitivity analysis is done to different machinery allocation schemes. Then, combined with the site condition, best scheme can be chosen and real-time scheduling of machineries can be realized. The result is applied in the construction of Nuozhadu hydropower station project, providing scientific basis for the optimal scheduling of field machinery allocation.

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