چکیده مقاله
There are numerous studies in the literature that have established the relationship between crash occurrence and roadway characteristics Nevertheless, few efforts can be found in the related literature to utilize fuzzy inference system for modelling traffic crashes This study aims at applying a Takagi Sugeno fuzzy inference system TS FIS to model road crashes as a function of road and roadside attributes For this purpose, detailed information on crash data, road geometric design, and roadside characteristics were collected on Qazvin Rasht intercity highway for a two year period 2008 2009 The results showed that lane width LW , shoulder width SW , land use LU , and minor access points AP significantly affect crash frequency Furthermore, to investigate the appropriateness of the TS fuzzy system in modelling traffic crashes, a negative binomial regression model was also developed and compared with the proposed approach The comparison results showed that the TS FIS model gives better results than the NB model As a result, the fuzzy based model developed herein could be used as a superior alternative to model traffic crashes, which are viewed as complex and rare events
کلیدواژهها
نویسندگان
Majid Ehsani Sohi
Dept of Mathematics and Computer Science, Amirkabir University of Technology
Adele Kardar
Dept of Transportation Engineering, University of Golestan
Razieh Asoode
Dept of Transportation Engineering, Imam Khomeini International University
Alireza Jafari Anaraki
Dept of Roadway and Transportation Engineering, K N Toosi University of Technology
شیوه ارجاع
Ehsani Sohi, Majid and Kardar, Adele and Asoode, Razieh and Jafari Anaraki, Alireza,1395,Modelling Traffic Crashes Using Takagi-Sugeno Fuzzy Inference System (Case Study: Qazvin-Rasht Highway),The 16th International Conference on Traffic and Transportation Engineering,Tehran
ارائهشده در
مجموعه مقالات شانزدهمین کنفرانس بین المللی مهندسی حمل و نقل و ترافیک10 اسفند 1395 · تهران