01552925

Component

In this paper, a bus frequency optimization model based on uncertain travel time and fixed capacity is proposed aiming to minimize the sum of the bus operation cost and total passenger cost. Under the circumstances that the OD pair matrix, accumulation function of passenger demand for each OD pair, bus lines are known data, this paper used the Monte-Carlo simulation to simulate the travel time from stop to stop under a certain distribution and used the GA algorithm for optimizing. To further illustrate, a case study based on virtual network is provided, and comparison research is conducted by changing the constraints of the model. The results shows that the model without bus capacity limit constraint can lead to the extension of the headways, and the model without travel time variance can lead to different headways. Not taking these two factors into consideration would in return cause the increase of total cost.

This paper was sponsored by TRB committee AP050 Bus Transit Systems.

01550057

15-3643

English

14p

2015

Transportation Research Board 94th Annual Meeting

Digital/other

Figures; References; Tables

Bus transit operations; Costs; Genetic algorithms; Headways; Monte Carlo method; Optimization; Scheduling; Travel time; Vehicle capacity

Finance; Operations and Traffic Management; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2015 Paper #15-3643

TRIS, TRB, ATRI

Dec 30 2014 1:13PM