YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Transportation Engineering, Part A: Systems
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Transportation Engineering, Part A: Systems
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Analysis of Crash Risks by Collision Type at Freeway Diverge Area Using Multivariate Modeling Technique

    Source: Journal of Transportation Engineering, Part A: Systems:;2015:;Volume ( 141 ):;issue: 006
    Author:
    Zhibin Li
    ,
    Wei Wang
    ,
    Pan Liu
    ,
    Lu Bai
    ,
    Muqing Du
    DOI: 10.1061/(ASCE)TE.1943-5436.0000757
    Publisher: American Society of Civil Engineers
    Abstract: Crashes present different collision types at freeway diverge areas. The research reported in this paper applies the multivariate modeling technique to evaluate the crash risks by collision type. Three years crash data are obtained from 282 freeway exit ramps. Three types of crashes are considered [i.e., (1) rear-end, (2) sideswipe, and (3) angle collisions]. A multivariate Poisson-lognormal (MVPLN) model is estimated to jointly evaluate the impacts of explanatory variables on different collision risks. For comparison purpose, univariate negative binomial (NB) models are also estimated based on the same dataset. The results show that the MVPLN model successfully captures the correlation of latent effects among the crash counts of different collision types. Thus, the MNPLN model estimates the impacts of variables more accurately than the NB model. The MVPLN model is found outperform the NB models in predicting the crash count of each collision type. Findings of this paper can help better understand how variables affect the risks of different collisions and propose accurate crash prediction models at freeway diverge areas.
    • Download: (1.184Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Analysis of Crash Risks by Collision Type at Freeway Diverge Area Using Multivariate Modeling Technique

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/78340
    Collections
    • Journal of Transportation Engineering, Part A: Systems

    Show full item record

    contributor authorZhibin Li
    contributor authorWei Wang
    contributor authorPan Liu
    contributor authorLu Bai
    contributor authorMuqing Du
    date accessioned2017-05-08T22:20:53Z
    date available2017-05-08T22:20:53Z
    date copyrightJune 2015
    date issued2015
    identifier other42701252.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/78340
    description abstractCrashes present different collision types at freeway diverge areas. The research reported in this paper applies the multivariate modeling technique to evaluate the crash risks by collision type. Three years crash data are obtained from 282 freeway exit ramps. Three types of crashes are considered [i.e., (1) rear-end, (2) sideswipe, and (3) angle collisions]. A multivariate Poisson-lognormal (MVPLN) model is estimated to jointly evaluate the impacts of explanatory variables on different collision risks. For comparison purpose, univariate negative binomial (NB) models are also estimated based on the same dataset. The results show that the MVPLN model successfully captures the correlation of latent effects among the crash counts of different collision types. Thus, the MNPLN model estimates the impacts of variables more accurately than the NB model. The MVPLN model is found outperform the NB models in predicting the crash count of each collision type. Findings of this paper can help better understand how variables affect the risks of different collisions and propose accurate crash prediction models at freeway diverge areas.
    publisherAmerican Society of Civil Engineers
    titleAnalysis of Crash Risks by Collision Type at Freeway Diverge Area Using Multivariate Modeling Technique
    typeJournal Paper
    journal volume141
    journal issue6
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/(ASCE)TE.1943-5436.0000757
    treeJournal of Transportation Engineering, Part A: Systems:;2015:;Volume ( 141 ):;issue: 006
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian