Bus working condition construction method considering passenger load change

Bus working condition construction method considering passenger load change

The invention discloses a bus working condition construction method considering passenger load change, and relates to the technical field of traffic control, and the method comprises the steps: S1, proposing a short-stroke division method based on bus stops, dividing motion segments according to the...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: ZHANG XUENING, WANG SHANGLIN, DU JUAN, LIU XIAODONG
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:The invention discloses a bus working condition construction method considering passenger load change, and relates to the technical field of traffic control, and the method comprises the steps: S1, proposing a short-stroke division method based on bus stops, dividing motion segments according to the actual distance of adjacent bus stops, and under the condition of considering the speed and acceleration, through a two-dimensional Markov chain Monte Carlo method, constructing a short-stroke short-stroke division method based on the short-stroke short-stroke division method based on the short-stroke short-stroke division method based on the short-stroke short-stroke division method; and respectively synthesizing a speed curve between the adjacent bus stops. The technical problem to be solved by the invention is to provide the bus working condition construction method considering the passenger load change, on the basis of considering the speed, through a Markov chain Monte Carlo method and considering the influen