Real-time traffic safety management system

Pending Publication Date: 2021-07-15
UNIV OF CENT FLORIDA RES FOUND INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0013]An object of the invention is to provide a safety visualization system that utilizes real-time and historical data to efficiently predict traffic events via calculations an

Problems solved by technology

With increasing traffic traveling on public roads worldwide, and particularly in the United States, static traffic management systems are quickly becoming outdated and obsolete.
Under such static traffic management systems, increased road demands result in stagnant traffic patterns, often resulting in more numerous traffic incidents on affected roads.
Traditional traffic management systems often rely on retroactive chang

Method used

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Example

[0035]In the following detailed description of the preferred embodiments, reference is made to the accompanying drawings, which form a part thereof, and within which are shown by way of illustration specific embodiments by which the invention may be practiced. It is to be understood that other embodiments may be utilized and structural changes may be made without departing from the scope of the invention.

[0036]As used in this specification and the appended claims, the singular forms “a,”“an,” and “the” include plural referents unless the content clearly dictates otherwise. As used in this specification and the appended claims, the term “or” is generally employed in its sense including “and / or” unless the context clearly dictates otherwise.

[0037]The present invention includes the obtaining of real-time data and use of the real-time data to make predictions about traffic patterns and dynamically change traffic systems in response to the predicted traffic patterns, thereby implementing

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PUM

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Abstract

A real-time traffic safety visualization and management system using traffic data, social media data, weather data, and other similar data enable proactive decisions for reducing the number of traffic incidents or mitigating their severity. The system utilizes predictive algorithms in a hybrid framework to diagnose real-time traffic safety conditions. Meanwhile, Pro-active Traffic Management (PATM) Strategies are provided by the system for the predicted high-risk locations. Moreover, through the visualization and management system, various countermeasures are considered and tested for decision makers, such that one or more of the most effective countermeasures are recommended within a given area to improve traffic safety thereof.

Description

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Claims

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Application Information

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Owner UNIV OF CENT FLORIDA RES FOUND INC
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