| contributor author | Fang Clara Fang | |
| contributor author | Kelly Klaver Pecheux | |
| date accessioned | 2017-05-08T21:05:14Z | |
| date available | 2017-05-08T21:05:14Z | |
| date copyright | June 2009 | |
| date issued | 2009 | |
| identifier other | %28asce%290733-947x%282009%29135%3A6%28349%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/38136 | |
| description abstract | This paper deals with how users perceive quality of service at signalized intersections and how many levels of service (LOS) drivers are able to perceive. A carefully designed laboratory experiment was conducted to create a user perception database of 100 subjects assessing 24 approaches in terms of stopped delay and rating of service. The data were subsequently processed to detect abnormal records and unusual subjects before any data mining tool was applied. The preprocessed data were then mined for hidden knowledge using a fuzzy | |
| publisher | American Society of Civil Engineers | |
| title | Fuzzy Data Mining Approach for Quantifying Signalized Intersection Level of Services Based on User Perceptions | |
| type | Journal Paper | |
| journal volume | 135 | |
| journal issue | 6 | |
| journal title | Journal of Transportation Engineering, Part A: Systems | |
| identifier doi | 10.1061/(ASCE)0733-947X(2009)135:6(349) | |
| tree | Journal of Transportation Engineering, Part A: Systems:;2009:;Volume ( 135 ):;issue: 006 | |
| contenttype | Fulltext | |
