MARC

Tag First Indicator Second Indicator Subfields
LEADER 00000cam a2200000Ia 4500
001 in00002710021
005 20211120162149.0
006 m d f
007 cr cn|||||||||
008 090706s2007 dcua obt f000 0 eng d
035 |a (OCoLC)ocn422646090 
037 |a PB2009-111348  |b NTIS 
040 |a JCR  |c JCR  |d GPO  |d MvI  |d UtOrBLW 
043 |a n-us--- 
049 |a WWW 
074 |a 0689-A-02 (online) 
086 0 |a TD 2.302:D 83/8 
088 |a FMCSA-RRR-07-001 
245 0 0 |a Advanced driver fatigue research /  |c [Azim Eskandarian and others]. 
264 1 |a [Washington, D.C.] :  |b U.S. Dept. of Transportation, Federal Motor Carrier Safety Administration,  |c [2007] 
300 |a 1 online resource (211 unnumbered pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
513 |a Final report;  |b Sept. 2003-Dec. 2005. 
500 |a Title from title screen (viewed on July 5, 2011). 
536 |a Performed by Center for Intelligent Systems Research, George Washington University, sponsored by Federal Motor Carrier Safety Administration, Office of Research and Analysis  |b DTMC75-03-H-00001 
500 |a "April 2007." 
520 3 |a This report summarizes the findings of the Advanced Driver Fatigue Research project conducted by the Center for Intelligent Systems Research (CISR) of the George Washington University (GWU), and funded by the Federal Motor Carrier Safety Administration (FMCSA) of the U.S. Department of Transportation (USDOT). The goal of this project was to develop an unobtrusive drowsy driver detection system for commercial motor vehicles. CISR previously developed an effective drowsiness detection system for automobiles that relied solely on the drivers steering patterns for input. This projects evaluation of this system confirms that this approach is equally valid for truck drivers, despite the differences between truck and automobile driving. The drowsy driver detection system exhibited expected false positive and false negative readings and an ideal warning rate before crashes. 
504 |a Includes bibliographical references. 
500 |a "Report number FMCSA-RRR-07-001"--Tech. rept. doc. p. 
500 |a Electronic resource. 
650 0 |a Truck driving  |z United States  |x Safety measures. 
650 0 |a Truck drivers  |x Health and hygiene. 
650 0 |a Fatigue. 
650 0 |a Drowsy driving  |x Prevention. 
700 1 |a Eskandarian, Azim. 
710 1 |a United States.  |b Federal Motor Carrier Safety Administration.  |b Office of Research and Analysis. 
710 2 |a George Washington University.  |b Center for Intelligent Systems Research. 
856 4 0 |u https://purl.fdlp.gov/GPO/gpo9443  |t 0 
999 |a MARS 
999 f f |s e139d538-ebfa-3b4a-b122-ebd2bd5a8be4  |i 07ff7911-3db2-391e-b633-67171dd9025e  |t 0 
952 f f |a Texas A&M University  |b College Station  |c Electronic Resources  |d Available Online  |t 0  |e TD 2.302:D 83/8  |h Superintendent of Documents classification 
998 f f |a TD 2.302:D 83/8  |t 0  |l Available Online