scholarly journals Innovative Research of Trajectory Prediction Algorithm Based on Deep Learning in Car Network Collision Detection and Early Warning System

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Rongxia Wang ◽  
Malik Bader Alazzam ◽  
Fawaz Alassery ◽  
Ahmed Almulihi ◽  
Marvin White
Keyword(s):  
Deep Learning ◽  
False Alarm ◽  
False Alarm Rate ◽  
Early Warning ◽  
Collision Detection ◽  
Early Warning System ◽  
Warning System ◽  
Early Warning Systems ◽  
Trajectory Prediction ◽  
Activation Area

Predicting the trajectories of neighboring vehicles is essential to evade or mitigate collision with traffic participants. However, due to inadequate previous information and the uncertainty in future driving maneuvers, trajectory prediction is a difficult task. Recently, trajectory prediction models using deep learning have been addressed to solve this problem. In this study, a method of early warning is presented using fuzzy comprehensive evaluation technique, which evaluates the danger degree of the target by comprehensively analyzing the target’s position, horizontal and vertical distance, speed of the vehicle, and the time of the collision. Because of the high false alarm rate in the early warning systems, an early warning activation area is established in the system, and the target state judgment module is triggered only when the target enters the activation area. This strategy improves the accuracy of early warning, reduces the false alarm rate, and also speeds up the operation of the early warning system. The proposed system can issue early warning prompt information to the driver in time and avoid collision accidents with accuracy up to 96%. The experimental results show that the proposed trajectory prediction method can significantly improve the vehicle network collision detection and early warning system.

scholarly journals Brief communication "Landslide Early Warning System: toolbox and general concepts"

2013 ◽  
Vol 13 (1) ◽  
pp. 85-90 ◽  
Author(s):  
E. Intrieri ◽  
G. Gigli ◽  
N. Casagli ◽  
F. Nadim
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Early Warning Systems ◽  
End Users ◽  
Flow Chart ◽  
Warning Systems ◽  
Limited Experience ◽  
Practical Guidelines ◽  
Landslide Early Warning

Abstract. We define landslide Early Warning Systems and present practical guidelines to assist end-users with limited experience in the design of landslide Early Warning Systems (EWSs). In particular, two flow chart-based tools coming from the results of the SafeLand project (7th Framework Program) have been created to make them as simple and general as possible and in compliance with a variety of landslide types and settings at single slope scale. We point out that it is not possible to cover all the real landslide early warning situations that might occur, therefore it will be necessary for end-users to adapt the procedure to local peculiarities of the locations where the landslide EWS will be operated.

scholarly journals Communication architecture of an early warning system

2010 ◽  
Vol 10 (11) ◽  
pp. 2215-2228 ◽  
Author(s):  
M. Angermann ◽  
M. Guenther ◽  
K. Wendlandt
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Satellite Communication ◽  
Warning System ◽  
Early Warning Systems ◽  
Lessons Learned ◽  
Warning Systems ◽  
Communication Architecture ◽  
Design And Implementation ◽  
Communication Links

Abstract. This article discusses aspects of communication architecture for early warning systems (EWS) in general and gives details of the specific communication architecture of an early warning system against tsunamis. While its sensors are the "eyes and ears" of a warning system and enable the system to sense physical effects, its communication links and terminals are its "nerves and mouth" which transport measurements and estimates within the system and eventually warnings towards the affected population. Designing the communication architecture of an EWS against tsunamis is particularly challenging. Its sensors are typically very heterogeneous and spread several thousand kilometers apart. They are often located in remote areas and belong to different organizations. Similarly, the geographic spread of the potentially affected population is wide. Moreover, a failure to deliver a warning has fatal consequences. Yet, the communication infrastructure is likely to be affected by the disaster itself. Based on an analysis of the criticality, vulnerability and availability of communication means, we describe the design and implementation of a communication system that employs both terrestrial and satellite communication links. We believe that many of the issues we encountered during our work in the GITEWS project (German Indonesian Tsunami Early Warning System, Rudloff et al., 2009) on the design and implementation communication architecture are also relevant for other types of warning systems. With this article, we intend to share our insights and lessons learned.

Torrent Monitoring and Early Warning Systems Development

2022 ◽  
pp. 195-216
Author(s):  
Dejan Vasović ◽  
Ratko Ristić ◽  
Muhamed Bajrić
Keyword(s):  
Emergency Management ◽  
Early Warning ◽  
Early Warning System ◽  
Catchment Area ◽  
Warning System ◽  
Modern Society ◽  
Early Warning Systems ◽  
Warning Systems ◽  
Small Catchment ◽  
National Emergency

The level of sustainability of a modern society is associated with the ability to manage unwanted stressors from the environment, regardless of origin. Torrential floods represent a hydrological hazard whose frequency and intensity have increased in recent years, mainly due to climate changes. In order to effectively manage the risks of torrents, it is necessary to apply early warning systems, since torrential floods are formed very quickly, especially on the watercourses of a small catchment area. The early warning system is part of a comprehensive torrential flood risk management system, seen as a technical entity for the collection, transformation, and rapid distribution of data. Modern early warning systems are the successors of rudimentary methods used in the past, and they are based on ICT and mobile applications developed in relation to the requirements of end users. The chapter presents an analysis of characteristic examples of the use. The main conclusion of the chapter indicates the need to implement early warning systems in national emergency management structures.

KLR Approach as an Early Warning Indicator of Turkish Currency and Banking Crisis in 2000 and 2001

2016 ◽  
pp. 222-239
Author(s):  
Filiz Eryılmaz
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Financial Stability ◽  
Banking Crisis ◽  
Warning System ◽  
Early Warning Systems ◽  
Lessons Learned ◽  
Warning Systems ◽  
Window Approach ◽  
Global Growth

International organizations as private sector institutions started to develop Early Warning System [EWS] models aiming to anticipate whether and when individual countries can collide with a financial crisis. EWS models can be made most useful to help sustain global growth and maintain financial stability, especially in light of the lessons learned from the current and past crises. This paper proposes Early Warning Systems (EWS) for Turkish Currency and Banking Crisis in 2000 and 2001. To that end “KLR model” or “signaling window” approach developed by Kaminski, Lorezondo and Reinhart (1998) is testified in the empirical part of this research and applied to a sample of Turkey macroeconomic data for the 1998-2003 monthly periods.

scholarly journals Near real-time GPS applications for tsunami early warning systems

2010 ◽  
Vol 10 (2) ◽  
pp. 181-189 ◽  
Author(s):  
C. Falck ◽  
M. Ramatschi ◽  
C. Subarya ◽  
M. Bartsch ◽  
A. Merx ◽  
...  
Keyword(s):  
Real Time ◽  
Early Warning ◽  
Early Warning System ◽  
Tide Gauge ◽  
Warning System ◽  
Early Warning Systems ◽  
Time Data ◽  
Essential Information ◽  
Tsunami Early Warning ◽  
Land Mass

Abstract. GPS (Global Positioning System) technology is widely used for positioning applications. Many of them have high requirements with respect to precision, reliability or fast product delivery, but usually not all at the same time as it is the case for early warning applications. The tasks for the GPS-based components within the GITEWS project (German Indonesian Tsunami Early Warning System, Rudloff et al., 2009) are to support the determination of sea levels (measured onshore and offshore) and to detect co-seismic land mass displacements with the lowest possible latency (design goal: first reliable results after 5 min). The completed system was designed to fulfil these tasks in near real-time, rather than for scientific research requirements. The obtained data products (movements of GPS antennas) are supporting the warning process in different ways. The measurements from GPS instruments on buoys allow the earliest possible detection or confirmation of tsunami waves on the ocean. Onshore GPS measurements are made collocated with tide gauges or seismological stations and give information about co-seismic land mass movements as recorded, e.g., during the great Sumatra-Andaman earthquake of 2004 (Subarya et al., 2006). This information is important to separate tsunami-caused sea height movements from apparent sea height changes at tide gauge locations (sensor station movement) and also as additional information about earthquakes' mechanisms, as this is an essential information to predict a tsunami (Sobolev et al., 2007). This article gives an end-to-end overview of the GITEWS GPS-component system, from the GPS sensors (GPS receiver with GPS antenna and auxiliary systems, either onshore or offshore) to the early warning centre displays. We describe how the GPS sensors have been installed, how they are operated and the methods used to collect, transfer and process the GPS data in near real-time. This includes the sensor system design, the communication system layout with real-time data streaming, the data processing strategy and the final products of the GPS-based early warning system components.

Development of early warning system for linear engineering - a case study on highway in Sichuan, China

2020 ◽  
Author(s):  
Ruihua Xiao
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Early Warning Systems ◽  
Highway Safety ◽  
Warning Systems ◽  
Safety Control ◽  
Early Warning Model ◽  
Landslide Early Warning ◽  
Warning Model

<p>For the recent years, highway safety control under extreme natural hazards in China has been facing critical challenges because of the latest extreme climates. Highway is a typical linear project, and neither the traditional single landslide monitoring and early warning model entirely dependent on displacement data, nor the regional meteorological early warning model entirely dependent on rainfall intensity and duration are suitable for it. In order to develop an efficient early warning system for highway safety, the authors have developed an early warning method based on both monitoring data obtained by GNSS and Crack meter, and meteorological data obtained by Radar. This early-warning system is not each of the local landslide early warning systems (Lo-LEWSs) or the territorial landslide early warning systems (Te-LEWSs), but a new system combining both of them. In this system, the minimum warning element is defined as the slope unit which can connect a single slope to the regional ones. By mapping the regional meteorological warning results to each of the slope units, and extending the warning results of the single landslides to the similar slope units, we can realize the organic combination of the two warning methods. It is hopeful to improve the hazard prevention and safety control for highway facilities during critical natural hazards with the progress of this study.</p>

TSUNAMI PROPAGATION MODELING AND FORECASTING FOR EARLY WARNING SYSTEM

2007 ◽  
Vol 01 (01) ◽  
pp. 87-98 ◽  
Author(s):  
PAVEL TKALICH ◽  
MY HA DAO ◽  
ENG SOON CHAN
Keyword(s):  
Indian Ocean ◽  
Communication Networks ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Early Warning Systems ◽  
Educational Outreach ◽  
Tsunami Propagation ◽  
Propagation Modeling ◽  
2004 Tsunami

After the devastating Indian Ocean 2004 Tsunami, coastal economies around the Indian Ocean have been reminded of the necessity to make well-coordinated efforts to deal with the tsunami problem. An integrated socio-technological infrastructure has to be built, with key tasks including advanced sensors, reliable communication networks, fast predictive algorithms, early warning systems, and educational outreach. This paper highlights the key features of a prediction system under development in Singapore in support of the early warning system being developed in the region.

scholarly journals Advanced Tools for Flood Management: An Early Warning System for Arid and Semiarid Regions

2021 ◽  
pp. 209-223
Author(s):  
Ekkehard Holzbecher ◽  
Ahmed Hadidi ◽  
Nicolette Volp ◽  
Jeroen de Koning ◽  
Humaid Al Badi ◽  
...  
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Flash Flood ◽  
Warning System ◽  
Integrated Water Resources Management ◽  
Early Warning Systems ◽  
Flood Management ◽  
Special Focus ◽  
Semiarid Regions ◽  
Smart Technologies

AbstractTechnologies concerning integrated water resources management, in general, and flood management, in particular, have recently undergone rapid developments. New smart technologies have been implemented in every relevant sector and include hydrological sensors, remote sensing, sensor networks, data integration, hydrodynamic simulation and visualization, decision support and early warning systems as well as the dissemination of information to decision-makers and the public. After providing a rough review of current developments, we demonstrate the operation of an advanced system with a special focus on an early warning system. Two case studies are covered in this chapter: one specific urban case located in the city of Parrametta in Australia in an area that shows similar flood characteristics to those found in arid or semiarid regions and one case regarding the countrywide Flash Flood Guidance System in Oman (OmanFFGS).

scholarly journals Introduce a Tool to Assess the Understanding of the Early Warning System in High-Risk Organizations

2020 ◽  
Author(s):  
Hamidreza Mehri ◽  
Faeze Sepahi Zoeram ◽  
Fatemeh Majidpour ◽  
Zainab Anbari Nogyni ◽  
Reza Jafari Nodoushan
Keyword(s):  
High Risk ◽  
Early Warning ◽  
Content Validity ◽  
Early Warning System ◽  
Good Condition ◽  
Warning System ◽  
Early Warning Systems ◽  
Warning Systems ◽  
Validity And Reliability ◽  
Spearman Test

Background: Although early warning system processes follow precise models and scenarios, the human part is not fully understood. Most people before and during crises, act according to their interpretive plans, sometimes when the situation may not be dangerous, but can lead to dangerous reactions. The purpose of this study was to provide an indicator that can be used to assess people's understanding of early warning systems. Methods: This study is a descriptive-analytical study that was conducted in 2019 in a gas refinery in Iran. In the first step, the Perception Index questionnaire was translated into Persian with the help of English language experts. In the next step, the validity and reliability of the questionnaire were assessed. The questionnaires were distributed and completed among 168 refinery personnel. The collected data were analyzed using SPSS software version 24, and Pearson and Spearman correlation coefficients were determined by statistical tests. Results: The content validity index was 0.8, and the content validity ratio was 0.66. The general index of perception of the rapid warning system in this industry was 71.74 percent. Pearson correlation test did not show a significant correlation between age and perception index (r = 0.060), and also this test showed a positive correlation between perception index and work experience (r = 0.691). Spearman test was used to examine the relationship between two variables of education level and perception index. The results showed that there was a strong correlation between these two variables (rho = 0.746). Conclusion: The results showed that the perception index in this questionnaire has high validity and reliability and can be used in high-risk industries. The general perception index gained in this industry was in good condition, which means that people are more likely to be well aware at the time of an accident and will behave appropriately. However, it is suggested that the managers of the industry understudy hold training classes related to the early warning systems, hold emergency maneuvers, and familiarize the personnel with different scenarios.  

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