A Statistical Calculation Model for Urban Commute Time and Optimal Selection of Staggered Intervals
This article investigates the impact of staggered work schedules on urban commuting time.A statistical measurement model for average commuting time is established by designing and fitting the distribution of commuting distance and the driving speed function based on the proportion of commuters on the road.An inverse solution algorithm is utilized to derive analytical expressions of the average commuting time under different staggered intervals.Ultimately,a staggered schedule optimization model based on the capacity of transportation resources is constructed and applied to calculate and analyze data from Beijing.The proposed approach,model,methodology,and conclusions have broad applicability and provide an effective means to alleviate urban traffic congestion.
staggered work scheduleaverage commute timecumulative flow functioncommuting distance distribution functiontraffic congestion index
NETL
NSTL
万方数据
