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System and Method for Enhancing Driving Safety

IP.com Disclosure Number: IPCOM000249155D
Publication Date: 2017-Feb-08
Document File: 4 page(s) / 79K

Publishing Venue

The IP.com Prior Art Database

Abstract

When people are driving, many behaviors (e.g., answering a phone call, turn around to talk to other passengers, closing eyes due to fatigue) may lead to a potential threat to driving safety. Nevertheless, avoiding all dangerous behaviors are not practical. Therefore, this article proposes to measure the impact of dangerous behaviors and their trends, rather than the dangerous behavior or their trends themselves. Through sensing the key impact factors (traffic environment, routine) which can affect the results of dangerous behaviors, the system can predict the impact of the dangerous behaviors under such key impact factors.

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System and Method for Enhancing Driving Safety

When people are driving, many behaviors may lead to a potential threat to driving safety. Here are some examples: [Example A] when people feel tired, they may frequently close and re-open their eyes. Moreover, we find that depending on the road-condition, the driver behavior may become different. [Example B] when people are not focusing on driving, such as answering a phone call, turn around the head to other passengers, or thinking questions, it may cause serious problems if the road traffic conditions become complicated (e.g., changed from Figure 1(a) to Figure 1(c)).

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Figure 1. Various Types of Traffic Environment.

Therefore, this article proposes to measure the impact of dangerous behaviors and their trends, rather than the dangerous behavior or their trends themselves. Through sensing the key impact factors (traffic environment, routine) which can affect the results of dangerous behaviors, the system can predict the impact of the dangerous behaviors under such key impact factors. To achieve this goal, Driver Vigilance Index (DVI) is defined to quantatively measure the

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impact of dangerous behaviors.

Driver Vigilance Index (DVI) is an index calculated based on the following vector: <RC current

, RC next

, TE current

, TE next

, P tired

, P focus

>, where:

üRC current

: current routine complexity, including current road intersection, road straightness degree, import vehicles

üRC next

: following routine complexity, includ...