Promoting excellence in mobility engineering

  1. FISITA Store
  2. Technical Papers

Study of Detecting Smartphone Use while Driving and Accident Prevention Plan
FISITA2016/F2016-APSG-001

Authors

Hoochang Lee*, Yunhee Choi, Jeongun Yoon, Gunha Kim, Jinwoo Kim, Hyunho Park, Jaekwang Lee, Junyeong Jeong, Kwangho Yoo

Mando-Hella Electronics Corp. 224, Harmony-ro, Yeonsu-gu, Korea (406-840)

Abstract

Research and/or Engineering Questions/Objective

According to the Centers for Disease Control and Prevention in US, Studies suggest that the use of voice/text devices while driving is associated with crash risks up to 24 times higher than when cell phones are not used to talk or text while driving. [1] It is obvious that less using phone is the effective way to minimize the risk of the crash. In this paper, we introduce the method of detecting smartphone use while driving and its counterplan. [1] the Pediatric Academic Societies (PAS) annual meeting in San Diego on April 27, 2015

Methodology

This system has two parts. One is detection of distracted driving events(such as texting, talking and watching on a handheld phone) and the other is accident prevention plan. Two type of sensors are required for detection. These are a smartphone touch sensor and 3axis accelerometers from smartphone and vehicle. For any input detected from the touch sensor or any movement detected from acceleration while vehicle driving, it delivers to the detection system. For the detailed information, RSS[Root Sum Square] value of each accelerations(smartphone and vehicle) should be the same unless the driver doesn’t use/hold the phone because two accelerometers are exposed in the same static/dynamic acceleration. Once distracted driving event has been detected, the crash counterplan is active. It alarms drivers(on vehicle driver and neighbor drivers through V2X) and arms safety systems in order to aggressively operate even with insufficient information.

Results

RSS value of each accelerometer has a similar value not only static acceleration but also dynamic acceleration under fixed position even though it has different orientation. But when a phone is on handheld or moving, RSS values from each accelerometer are quite different . So the deviation of RSS values can be used for detection of smartphone use.

Limitations of this study

The result is based on vehicle driving test. But with the purpose of simplifying the validation, we used a fixed vehicle accelerometer and a movable vehicle accelerometer instead of accelerometer from smartphone. When it comes to using real smartphone, it will have additional studies, such as different protocol matching and signal synchronizing of multi-rate output accelerometers.

What does the paper offer that is new in the field including in comparison to other work by the authors?

For the safety system, it generally targets perfectly right operation. In other words, it doesn’t permit the excessive working because of an emotional quality issue. It turns, it may miss a well-timed operation to save more life especially for currently immature or high huddle technology. But purpose for the safety system should be to save life, not becoming the object of emotional quality. I think it is more acceptable for alarmed driver to be exposed to the aggressive operation of safety system.

Conclusions

The RSS has been used for the use of detection of smartphone while driving and it can be used for the accident prevention plan until the autonomous driving technology is matured more than now.

KEYWORDS – distracted driving, texting while driving, smartphone, RSS(root sum square)

Add to basket

Back to search results