01697642

Component

Although various methods have been adopted to reliably predict bus stop dwell time, little research has considering the effect of passenger micro-scale movement on estimating the time consumption of bus stoppage processes. Using the multi-agent concept, this work provides a simulation model based on the social force paradigm that can be applied to analyze the operational characteristics of public transportation and calculate bus stop dwell time. For each passenger, the model incorporates five different forces that drive an individual agent’s boarding and alighting. Several behavioral and emulational guidelines, including agent generation, object searching, visual simulation and collision avoidance, are presented to coordinate agent motions with passenger behaviors in a realistic way. When the data from the model are compared with the data from a field survey of an actual bus station, the proposed model is found to realistically simulate the process of passenger boarding and alighting, with some acceptable errors appearing in the simulation results. The dynamic process of simulation can be reflected in a graphic visualization module that can assist researchers or planning operators in observing the dynamic state of waiting passengers and arriving buses.

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

19-00470

English

7p

2019

Transportation Research Board 98th Annual Meeting

Digital/other

Figures; References; Tables

Behavior; Boarding and alighting; Dwell time; Mathematical models; Passengers; Simulation; Transit buses

Social force models

Operations and Traffic Management; Passenger Transportation; Planning and Forecasting; Public Transportation

Transportation Research Board Annual Meeting 2019 Paper #19-00470

TRIS, TRB, ATRI

Dec 7 2018 9:33AM