A Framework of Event-Driven Traffic Ticketing System

2017 ◽  
Vol 9 (1) ◽  
pp. 39-50 ◽  
Author(s):  
Jia Wang ◽  
Minh Ngueyn ◽  
Weiqi Yan
Keyword(s):  
Information Retrieval ◽  
Event Detection ◽  
Database Management ◽  
Automatic Detection ◽  
Traffic Light ◽  
Event Driven ◽  
Traffic Tickets ◽  
Stop Line

This paper presents a new scheme to implement an event-driven traffic ticketing system. The system consists of two modules, namely, (1) event detection module, (2) database management module to execute information retrieval and deliver traffic tickets. In this paper, the notable contribution is an automatic detection of traffic ticketing events from video footages and immediate notification of such event when a car is passing the white stop line before a red traffic light. The results show the authors' work is efficient and could detect the events precisely.

An efficient physic-based event detection algorithm inspired by music information retrieval

2021 ◽  
Author(s):  
Reza Dokht Dolatabadi Esfahani ◽  
Frank Scherbaum ◽  
Fabrice Cotton ◽  
Matthias Ohrnberger
Keyword(s):  
Information Retrieval ◽  
Physical Properties ◽  
Event Detection ◽  
High Frequency ◽  
Music Information Retrieval ◽  
Corner Frequency ◽  
Zero Crossing ◽  
Time Frequency ◽  
Recorded Signal ◽  
Music Information

<p>In the last decade, the increasing number and spatial density of seismological stations provide unprecedented opportunities for recording various natural and human-related events in continuous records. Diverse methods have been proposed for event detection, classification, and characterization, but few of them are based on the physical properties of the events. In this study, inspired by music information retrieval methods such as audio fingerprinting, we present a time-efficient event detection method based on capturing the physical properties of seismic signatures such as corner frequency, high-frequency fall-off, and complexity of signature. The zero-crossing rate of the recorded signal is used to estimate the corner frequency, which is the dominant frequency in the velocity domain of record. The high-frequency fall-off can be estimated in the time-frequency spectrogram by finding the frequency below which 75% of the energy of the spectrum is produced. The complexity of the spectrum of the recorded signal is finally represented by a second-order polynomial coefficient fitting the spectrum and capturing the slope of the source spectra. Also, we use the spectral flatness to quantify the noise properties. We validate the proposed procedure to synthetic data generated by the stochastic simulation method. We finally apply the method to real data sets to detect the seismic precursors for the Nuugaatsiaq landslide. We separate the earthquake event and precursory signals because of different corner frequencies and show that the precursory signals started for hours before the main landslide.</p><p> </p>

From Universal Classification to a Postcoordinated Universe

2020 ◽  
Author(s):  
Bernhard Rieder
Keyword(s):  
Information Retrieval ◽  
Classification System ◽  
Database Management ◽  
Expressive Power ◽  
Knowledge Organization ◽  
Relational Model ◽  
Stable Map ◽  
The Universe

This chapter starts off from standard takes on knowledge organization and classification in libraries and encyclopedias, but then zeros in on the field of information retrieval, which develops in fundamental opposition to even the most visionary of library techniques. Coordinate indexing, the first technique in this lineage, is explicitly designed to eliminate the influence of librarians and other knowledge mediators by shifting expressive power from the classification system to the query and, by extension, to the information seeker. Order is no longer understood as a stable map to the universe of knowledge but increasingly as the outcome of a dynamic and purpose-driven process of ordering. The chapter closes by discussing coordinate indexing as a precursor of the relational model for database management.

Organization of non-traffic jam traffic at an intersection when cycle time and roadway width are limited

2020 ◽  
Keyword(s):  
Traffic Flow ◽  
Road Safety ◽  
Traffic Management ◽  
Road Network ◽  
Traffic Light ◽  
Maximum Capacity ◽  
Traffic Jam ◽  
The Road ◽  
Traffic Management System ◽  
Stop Line

In General, two problems need to be solved in the traffic management system: road safety and capacity. In this paper, it is proposed to use a calculated way to optimize the cycle of a traffic light object in order to ensure the maximum capacity of the node of the road network. The calculation method is based to determining the optimal ratio of the number of lanes intended for vehicle traffic and the duration of a cycle of the traffic light object. Keywords capacity, street and road network, traffic flow, stop line, width of the roadway

scholarly journals Automatic detection method, forecast and alert of solar proton events

2009 ◽  
Vol 5 (S264) ◽  
pp. 105-108
Author(s):  
Ganghua Lin
Keyword(s):  
Event Detection ◽  
Detection Method ◽  
Automatic Detection ◽  
Solar Proton ◽  
Automatic Method ◽  
Short Term ◽  
Solar Proton Events ◽  
The Relationship ◽  
Active Phenomenon

AbstractThe methods of automatic solar active phenomenon or event detection have been researched and explored by people for many years, which have gone into actual services. The paper analyzes the relationship between these methods of automatic detection and the forecast or alert, using the solar short-term proton events predictions as an example. Using automatic method to conduct forecast or alert is under thinking.

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