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    Rule-Based Mode Choice Model: INSIM Expert System

    Source: Journal of Transportation Engineering, Part A: Systems:;2015:;Volume ( 141 ):;issue: 004
    Author:
    A. A. Memon
    ,
    M. Meng
    ,
    Y. D. Wong
    ,
    S. H. Lam
    DOI: 10.1061/(ASCE)TE.1943-5436.0000753
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents an innovative rule-based intelligent network simulation model (INSIM) expert system (IES) which simulates real-time mode choice decision-making process of commuters in the presence of multimodal traveler information. The IES captures interactions among available modes and decides on the commuter’s mode based on a commuter’s socioeconomic traits and prevailing travel condition. The commuter’s mode choice behavior is modeled and represented by cognitive rules in the rule-base of the IES. Two important characteristics of the IES, the reliability and the adaptive learning, are highlighted. Three different models, i.e., (1) pure rule-based model (PRB), (2) discrete choice model (DCM), and (3) probabilistic model (COM) are introduced to formulate the mode choice decisions. Simulation results show that the highest level of accuracy can be achieved by applying the PRB model to generate mode choice decisions.
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      Rule-Based Mode Choice Model: INSIM Expert System

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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorA. A. Memon
    contributor authorM. Meng
    contributor authorY. D. Wong
    contributor authorS. H. Lam
    date accessioned2017-05-08T22:20:00Z
    date available2017-05-08T22:20:00Z
    date copyrightApril 2015
    date issued2015
    identifier other41216819.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/77912
    description abstractThis paper presents an innovative rule-based intelligent network simulation model (INSIM) expert system (IES) which simulates real-time mode choice decision-making process of commuters in the presence of multimodal traveler information. The IES captures interactions among available modes and decides on the commuter’s mode based on a commuter’s socioeconomic traits and prevailing travel condition. The commuter’s mode choice behavior is modeled and represented by cognitive rules in the rule-base of the IES. Two important characteristics of the IES, the reliability and the adaptive learning, are highlighted. Three different models, i.e., (1) pure rule-based model (PRB), (2) discrete choice model (DCM), and (3) probabilistic model (COM) are introduced to formulate the mode choice decisions. Simulation results show that the highest level of accuracy can be achieved by applying the PRB model to generate mode choice decisions.
    publisherAmerican Society of Civil Engineers
    titleRule-Based Mode Choice Model: INSIM Expert System
    typeJournal Paper
    journal volume141
    journal issue4
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/(ASCE)TE.1943-5436.0000753
    treeJournal of Transportation Engineering, Part A: Systems:;2015:;Volume ( 141 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian