Computer Science ›› 2014, Vol. 41 ›› Issue (Z6): 94-97.

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Bus Line Scheduling Research Based on Residents’ Travel Behavior Analysis

LI Zhang-wei,GUO Bing-bing,MING Jie and ZHANG Gui-jun   

  • Online:2018-11-14 Published:2018-11-14

Abstract: On a city bus for residents travel peak pressure,we established the bus line scheduling model which is mainly based on residents' travel behavior analysis.The model uses survival analysis theory to analyze the influence factors of residents travel time,find out the urban residents travel time interval science tumble,and construct nonlinear programming model function on bus headway of the peak time in the region.Model function includes the time cost of passengers and the bus company operating costs,introduces weighting factor,and uses particle swarm algorithm to get the best grid interval.On the basis of Hangzhou citizens travel data in a given area,the article derived optimized scheduling schedule from empirical studies,verified the feasibility and validity of the model.

Key words: Travel behavior,Survival analysis theory,Bus dispatching,Departure interval,Particle swarm optimization

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