Researchers from the UPM have developed a system capable of detecting patterns of reckless driving behavior with non intrusive methods for the driver.
A group of researchers from the High School of Telecommunications Engineering of the Universidad Politécnica de Madrid (UPM) has shown that is possible to detect an aggressive driving behavior by just monitoring external driving signals such as the speed or acceleration, since the aggressiveness works as a linear filter on these signals. This model was validated with empirical data under real driving situations with rates exceeding 92%.
Traffic accidents annually produce 1.3 million fatalities and 50 million injuries worldwide. They are currently the main cause of death among young adults between 15–29 years old. Apart from these deaths, traffic accidents cause high economic cost due to property damage and medical expenses, amongst others, estimated at around half a billion Euros per year. The 70% of these accidents are related to human factors and reckless driving which is the result of an excessive or inappropriate speed.
Boosting new behavior patterns could prevent a significant percentage of accidents. One way to promote these behavior changes of drivers it can be the monitoring and characterization of their driving in order to detect inappropriate driving situations and early warn at risk of accident.
The early research works in this field were mainly based on the characterization through intrusive methods by monitoring physiological signals such as heart rate, breathing and stress level. These methods, though effective, are less appropriate because can produce discomfort to the driver and represent an additional cause of distraction.
The question is, can we efficiently characterize the driving through non intrusive methods and that are not perceived by the driver? A group of researchers for the Applied Mathematics for Information Technology and Communications Department of the High School of Telecommunications Engineering of UM has found the answer. Thanks to this research, they have shown that is possible to detect a reckless driving behavior by just monitoring driving external signals, such as velocity and acceleration.
The Latest on: Behaviour changing algorithm
[google_news title=”” keyword=”Behaviour changing algorithm” num_posts=”10″ blurb_length=”0″ show_thumb=”left”]
via Google News
The Latest on: Behaviour changing algorithm
- 18 Ways To Integrate AI Into Sales And Marketingon April 30, 2024 at 10:15 am
When adopting tech, considering how to best preserve the human touch will ensure customer interactions remain productive.
- Teens see social media algorithms as accurate reflections of themselves, study findson April 30, 2024 at 9:49 am
We encourage researchers in our field to design ways to challenge the accuracy of algorithms and expose them as reflecting behavior and not being. Another part of the remedy may involve arming teens ...
- Instagram Algorithm Will Focus More on Original Content, Straying Away From Reposted Videos, Photoson April 30, 2024 at 8:19 am
Since reposting content is rampant and the original posters don't get the credit they deserve, Instagram is changing its algorithm ranking by prioritizing original content.
- Algorithm Aversion: Who Trusts Algorithms to Make Decisions?on April 29, 2024 at 11:09 pm
In today's world, algorithms are everywhere—curating our Spotify playlists, suggesting YouTube videos, and even helping us make financial decisions. But despite their prevalence and power, many of us ...
- Mastering Google’s updates for digital successon April 29, 2024 at 1:35 pm
Explore strategic insights on leveraging Google's algorithm updates for achieving digital success in an ever-evolving online landscape.
- AI algorithms can determine how well newborns nurse, study showson April 29, 2024 at 12:38 pm
A modified pacifier and AI algorithms to analyze the data it produces could determine if newborns are learning the proper mechanics of nursing, a recent study shows.
- 3 Ways AI and Machine Learning are Changing Smartphoneson April 29, 2024 at 10:51 am
AI and machine learning are transforming the world as we know it. Practically every industry has been impacted by AI and machine learning one way or another, with smartphones being no exception. These ...
- FTC Chief Says Tech Advancements Risk Healthcare Price Fixingon April 25, 2024 at 1:00 pm
Antitrust regulators at the FTC and the Justice Department set a record for merger challenges in the fiscal year that ended Sept. 30, 2022, according to Bloomberg News.Last year, the FTC successfully ...
- Researchers seek to unravel secrets of TikTok’s addictive algorithmon April 25, 2024 at 5:08 am
Researchers claim to have decoded how TikTok ’s algorithm keeps users hooked. The app, mostly used to share short videos, was launched in 2017 and quickly became one of the world’s most popular social ...
- Q&A: How TikTok's 'black box' algorithm and design shape user behavioron April 24, 2024 at 2:20 pm
TikTok's swift ascension to the upper echelons of social media is often attributed to its recommendation algorithm, which predicts viewer preferences so acutely it's spawned a maxim: "The TikTok ...
via Bing News