智能系统学报
智能繫統學報
지능계통학보
CAAI TRANSACTIONS ON INTELLIGENT SYSTEMS
2014年
6期
677-684
,共8页
交通工程%客流拥挤指数%模糊评价%客流运行状态%综合交通枢纽%智能分析%交通流
交通工程%客流擁擠指數%模糊評價%客流運行狀態%綜閤交通樞紐%智能分析%交通流
교통공정%객류옹제지수%모호평개%객류운행상태%종합교통추뉴%지능분석%교통류
traffic engineering%passenger flow congestion index%fuzzy evaluation%running state of passenger flow%integrated transport hub%intelligent analysis%traffic flow
综合交通枢纽每日承载着几十万客流量,为了满足日益发展的综合交通枢纽内的指挥、运营管理及预警预案的需求,对枢纽内的客流运行状态的判别就显得尤其重要。提出了一种新的评判客流运行状态的指标———客流拥挤指数,基于枢纽内行人密度和单位宽度流率等反映枢纽客流状况的特性指标,建立了枢纽内客流状态综合模糊评价模型,并从中获取了客流拥挤指数。通过对实际交通枢纽内的客流状态仿真分析得出,所采用的模糊评价模型所得到的客流拥挤指数较好地反映了枢纽内的真实的客流状态,与实际状况的契合度很高。所提出的枢纽内客流状态评价指标简洁明了,能为枢纽交通管理者和出行者提供有价值的参考。
綜閤交通樞紐每日承載著幾十萬客流量,為瞭滿足日益髮展的綜閤交通樞紐內的指揮、運營管理及預警預案的需求,對樞紐內的客流運行狀態的判彆就顯得尤其重要。提齣瞭一種新的評判客流運行狀態的指標———客流擁擠指數,基于樞紐內行人密度和單位寬度流率等反映樞紐客流狀況的特性指標,建立瞭樞紐內客流狀態綜閤模糊評價模型,併從中穫取瞭客流擁擠指數。通過對實際交通樞紐內的客流狀態倣真分析得齣,所採用的模糊評價模型所得到的客流擁擠指數較好地反映瞭樞紐內的真實的客流狀態,與實際狀況的契閤度很高。所提齣的樞紐內客流狀態評價指標簡潔明瞭,能為樞紐交通管理者和齣行者提供有價值的參攷。
종합교통추뉴매일승재착궤십만객류량,위료만족일익발전적종합교통추뉴내적지휘、운영관리급예경예안적수구,대추뉴내적객류운행상태적판별취현득우기중요。제출료일충신적평판객류운행상태적지표———객류옹제지수,기우추뉴내행인밀도화단위관도류솔등반영추뉴객류상황적특성지표,건립료추뉴내객류상태종합모호평개모형,병종중획취료객류옹제지수。통과대실제교통추뉴내적객류상태방진분석득출,소채용적모호평개모형소득도적객류옹제지수교호지반영료추뉴내적진실적객류상태,여실제상황적계합도흔고。소제출적추뉴내객류상태평개지표간길명료,능위추뉴교통관리자화출행자제공유개치적삼고。
An integrated transport hub undertakes hundreds of thousands of traffic flow every day. In order to meet the need of directing, operation, management and pre?arranged planning, it is important to figure out the running state of passenger flow inside the hub. In this paper, it is proposed to use a new indicator to judge the running state of passenger flow:passenger flow congestion index. A compressive fuzzy evaluation model of the state of passenger flow inside the hinge is setup based on the characteristics that are able to reflect the condition of passenger flow. This includes density of passenger, passenger flow rate per width. The passenger flow congestion index is also deter?mined from this model. Through the simulation and analysis of the state of passenger flow of an actual transport hub, the proposed passenger flow congestion index used in the fuzzy evaluation model reflected the actual state of passen?ger flow and corresponded with real conditions. The evaluation criteria of the passenger flow state in the transport hub proposed in this paper is concise and clear, which means that it might also be a valuable reference for the travellers and transport hub managers.