The human factor contributes to approximately 95% of car accidents. 30% of those accidents are directly related to texting while driving. SafeMode is built to provide a solution for those problems, with a vision of absolute safe driving.
The company has developed a lifesaving system built for fleets, targeting transportation and logistics companies, rental and lease car companies, as well as insurance companies, OEM's, telematics providers and more. The company has already begun working within fleets and corporations in Israel as well as several companies in Europe.
The company recently recruited a senior researcher from the MIT Media Lab and TAU specializing in Big data, AI and Machine learning. These methods have been tested and proved effective by 30%-50% in reducing car accidents and negative driver behavior. In addition, it reduces fuel consumption and increase passenger satisfaction.
The new integration of technology with techniques from behavioral economic science, creates a significant step forwards from what we have known until now, with the approach of motivating drivers to improve their behavior and not enforcing them to do so.
An example for applying behavioral economic incentives vs. conservative bonuses which was proved by Professor Dan Arielly (Duke Uni.) in a study within Intel, where he tested how employee productivity corresponded with the promise of reaching financial incentives. But what he found was that in the long term, these bonuses were not efficient, but even damaging to the employee's productivity by 6%. On the other hand, employees who received social and other more personal incentives showed an increase in productivity which was shown to last longer.
SafeMode offers an innovative solution that connects the driver with his company goals by using techniques involving different kinds of incentives in a very smart way. This techniques help improving driving in the long term by triggering a driver internal motivation to be safer, instead of company enforcement. Another unique approach that SafeMode takes is that they don't create competition between the drivers, but motivate the drivers to improve their own behavior day by day.
The first step in SafeMode's vision focuses on the driver, and in addition to improving the mechanical operation of the vehicle (brakes, turns, accelerations) it combines more aspects of driving such as reducing smartphone usage and texting while driving and improves driver's cognitive and physical condition.
The system is integrated with existing sensors in the vehicle based on a smartphone sensors, telematics, and other sensors which provide valuable data and measure driver behavior, but they are not affecting driver's behavior. SafeMode added value is not only to measure, but also to trigger an action and affect the driver behavior in a positive and exciting way with their app which reflects the driver his behavior, improvement and incentives that he gains.
SafeMode’s current development takes them one step closer to absolute safe driving and the eventual usage of autonomous cars. In addition to the algorithms that will teach autonomous car how to drive perfectly, SafeMode will provide an additional layer of data that will add a context to this learning process. For example, driving in Mumbai's night near trucks is different than driving in NY between taxis.
SafeMode integrates all this knowledge into the autonomous cars and is attempting to bridge the transition period between 2020 with 99% human drivers and 2060 with 99% autonomous cars.
For more details, visit SafeMode website: www.SafeMode.co