01626972

Component

https://doi.org/10.3141/2647-09

Bus queuing occurs frequently at the entry and exit areas of curbside stops. Formed queues can induce extra delays for bus operations. Conventional regression-based models to analyze bus service time cannot capture such delays because of their limitations in addressing interactions between buses and arriving passengers. To capture the extra delays, this paper proposes a new approach to estimate bus service time on the basis of the Monte Carlo method. The proposed models account for interactions between arriving buses as well as the numbers of boarding and alighting passengers. The models were established for curbside stops with both one and two berths. Case studies were implemented to show the effectiveness of the proposed approach. Archived data from the automatic vehicle location system and the automatic fare collection system were used to calibrate and validate the models. With the established models, the impact of passenger arrivals on bus service time was further demonstrated.

01624542

17-02855

English

pp 71–79

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309442121

Digital/other

Figures (5) ; References (20) ; Tables (2)

Boarding and alighting; Bus stops; Bus transit operations; Mathematical models; Monte Carlo method; Queuing; Travel time

Curb side operations

Operations and Traffic Management; Planning and Forecasting; Public Transportation

PRP, TRIS, TRB, ATRI

Dec 8 2016 11:04AM

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