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Method of Defensive Driving Assistant

IP.com Disclosure Number: IPCOM000241217D
Publication Date: 2015-Apr-06
Document File: 3 page(s) / 345K

Publishing Venue

The IP.com Prior Art Database

Abstract

This paper defines a method if a real time defensive driving assistant with an integrated driving credit tracking system for dynamically helping drivers to cognize driving environment around them. The method includes two major parts: Defensive Driving Assistant Server (DDAS) and Defensive Driving Assistant Client (DDAC). The method can be used to track people driving behaviors and real time conditions from a dashboard device, calculate drivers driving credits, scan search on-road habitude traffic offenders with bad driving credits, and then send out alert message to the users who are driving in certain dangerous location. Based on the received alert messages, a defensive driving assistant app can help driver to select best defensive option to operate the car properly.

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Method of Defensive Driving Assistant

Road assistant application on mobile is a hot market ($1 billion in 2014. Google spent 1$ billion on it's Waze acquisition) because there are more than 1 billion cars (in 2010, will be 2.5 billion in 2050) in the world. In fact, not all drivers are qualified to drive in nowadays. People's driving style directly relate to multi-factors (such as attitude, habit, feeling, emotion, health status, education level, culture background). All those factors will be reflected on people's driving behaviors:

Some people speed aggressively


Some people cut into another lane because they aren't paying attention Some people may follow too closely
Some people make sudden turns without signaling...

A statistic study indicates that "50 to 75 percent of convicted drunk drivers continue to drive on a suspended license". As an individual driver, you may not control the actions of other drivers, but you can take right defensive driving strategy to avoid the risks caused by others if you know who is driving around of you.

    The core idea of this disclosure is to provide method of a real time defensive driving assistant with an integrated driving credit tracking system for dynamically helping drivers to cognize driving environment around them. The method includes two major parts: Defensive Driving Assistant Server (DDAS) and Defensive Driving Assistant Client (DDAC).

    The DDAS is comprised of Driving Credit Score Database (DCSD), Driving History Tracking Module (DHTM), and Offender Alert Agent (OAA). The DDAC is comprised of Driving Status Monitor (DSM), Driving Incident Analyzer (DIA), and Defensive Alert Receiver (DAR).

    Major claims may include: a method can be used to track people driving behaviors and real time conditions from a dashboard device, calculate drivers driving credits, scan search on-road habitude traffic offenders with bad driving credits, and then send out alert message to the users who are driving in certain dangerous location. Based on the received alert messa...