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Automotive User Interfaces and Interactive Vehicular Applications

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The use of in vehicle data recorders <strong>and</strong> selfreported<br />

data for evaluating driving behavior of<br />

young drivers<br />

Gila�Albert*�<br />

H.I.T�–�Holon�Institute�<br />

of�Technology��<br />

�<br />

Tsippy�Lotan�<br />

Or�Yarok��<br />

ABSTRACT<br />

This paper aims to evaluate the driving behaviour of<br />

young drivers few years after licensure. The evaluation is<br />

based on two kinds of data: In Vehicle Data Recorders<br />

(IVDR) <strong>and</strong> Self-Reports (SR). The results show that<br />

young drivers clearly perceived themselves as safer<br />

drivers than they are according to IVDR. The results also<br />

suggest, based on the two approaches, that young driver<br />

improved their driving behavior while driving with<br />

IVDR. The analysis obtained should be considered as<br />

exemplifying the potential of what may be done with<br />

these two evaluation approaches.<br />

General Terms<br />

Measurement, Experimentation.<br />

Keywords<br />

In Vehicle Data Recorders, Self-reports, Young drivers,<br />

1. INTRODUCTION<br />

Young drivers in Israel, similar to other places over the<br />

globe, are involved in car crashes more than any other<br />

age group [1,2]. The definition of a "young driver" in<br />

many countries refers to relatively wide age group, e.g.,<br />

the ages of 17-24 in Israel. This paper aims to evaluate<br />

how young drivers in the age of 19-24 drive 3-4 after<br />

licensure. The evaluation was done using two tools: In<br />

Vehicle Data Recorders (IVDR) technology <strong>and</strong> Selfreported<br />

data (SR). More specifically, we focused on the<br />

relationship between these two measurements.<br />

IVDR can be used for unobtrusive recording of driving<br />

behaviour under ordinary traffic conditions. This<br />

advanced recording equipment is installed in driver's car,<br />

tracks all trips made by the vehicle <strong>and</strong> provides<br />

information regarding trip characteristics <strong>and</strong> safety<br />

levels. The manoeuvres detected during driving are<br />

classified into major categories of events, e.g., speeding,<br />

Copyright held by author(s).<br />

<strong>Automotive</strong>UI’11, November 29-December2, 2011, Salzburg, Austria.<br />

Adjunct Proceedings�<br />

�<br />

Tomer�Toledo�<br />

Technion���Israel�<br />

Institute�of�Technology,�<br />

Haifa,�32000�Israel�<br />

�<br />

*Email:�gila.albert1@gmail.com,�Tel/Fax�972�3�5026746�<br />

H.I.T,�52�Golomb�St.,�Holon,�58102,�Israel��<br />

- 7 -<br />

�<br />

Einat�Grimberg�<br />

Or�Yarok��<br />

�<br />

Mariano�Lasebnik�<br />

�<br />

H.I.T�–�Holon�Institute�<br />

of�Technology��<br />

turn h<strong>and</strong>ling, <strong>and</strong> the quality of performance of the<br />

detected manoeuvres is evaluated. Drivers are colorcoded<br />

according to their safety classification: green<br />

(cautious), yellow (moderate) <strong>and</strong> red (aggressive) [3,4].<br />

SR are very popular tools employed in driver safety<br />

research <strong>and</strong> many studies use it even as a sole source of<br />

data. SR has many well recognized advantages, such as<br />

its ease of use <strong>and</strong>the ability to collect large data sets<br />

relatively cheaply but suffers from well known<br />

limitations regarding its validity as an indicator of actual<br />

behaviour [5].<br />

This paper is based on a study done in Israel as part of the<br />

PROLOGUE project conducted within the EU FP7 [6].<br />

2. METHODOLOGY<br />

IVDR systems have been installed in the private cars of<br />

the participants, 32 young drivers with 3-4 years of<br />

driving experience at average age at the time the study<br />

started of 20.5 ± 0.5 years. The participants were<br />

recruited from a participants' pool that participated as<br />

novice young drivers in a study conducted in Israel few<br />

years ago [3]. All trips were monitored in a study period<br />

of 8 months. The study period was divided into three<br />

stages: the "blind profile" stage which started<br />

immediately after the installation, provided no feedback<br />

<strong>and</strong> served as a baseline; the "feedback stage" that<br />

followed in which participants received real-time <strong>and</strong> via<br />

the internet feedback; the final "cool-off" stage in which<br />

the participants continued to drive with the IVDR but did<br />

not receive any feedback. During the "blind profile" <strong>and</strong><br />

"cool-off" stages participants were asked to fill in specific<br />

trip diaries regarding various characteristics of the trips<br />

they have taken in the last 48 hours, e.g., date, time,<br />

duration, trip purpose, perceived level of trip safety, etc.<br />

3. RESULTS<br />

Table 1 presents general statistics of the trips the<br />

participants undertook. These trips are used in the<br />

analysis that follows. The SR compiled for specific days<br />

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