Abstract
Bus passengers’ boarding and alighting behavior is important content when researching bus operation efficiency. This paper uses an improved cellular automata (CA) model and introduces four dynamic parameters to study individual behavioral characteristics of bus passengers’ boarding and alighting behavior. The research on the relationship between the macro pedestrian flow formed by the interaction between the individual passengers and the stop time of the bus station was realized. Then it was modeled for different situations, and the general update rules of CA were set based on realistic situations. The passenger boarding and alighting behaviors of the No. 245 bus route in Nanchang, China were simulated, and the simulation results of four different door layouts and passenger boarding and alighting modes were compared. It was found that when the passenger loading rate in the bus reaches 65%, the passenger boarding rate has an obvious tendency to slow down; the width of the door has a direct relationship with the passenger alighting efficiency, and the bus stopping time can be reduced by adjusting the width of the alighting door; a strategy which allows passengers board on the bus via the alighting door may effectively reduce the bus stopping time when there are many passengers boarding on the bus. Using strategy four, simulation research found that Bus No. 245 can reduce the stopping time by 40–50% in some station scenarios. Research results show that the CA model has certain practical value and can provide a theoretical reference for public transportation control and management.
Highlights
Academic Editors: Efthimios Bothos, Panagiotis Georgakis, School of Transportation Engineering, East China Jiaotong University, Nanchang 330013, China; School of Transportation, Southeast University, Nanjing 210096, China
This study aims to reduce bus stopping time by considering the impact of passenger boarding and alighting behavior, full occupancy and door width on bus stopping time from a microscopic perspective
The bus passenger boarding and alighting model proposed in this paper divides the bus interior space into a number of positive hexagonal cells, the size of which is determined based on the space required by the actual passengers riding the bus
Summary
With the growth of urban population and the increase in car ownership, urban traffic congestion has become an increasingly serious problem, and has become an important factor restricting urban development. CA model has been continuously improved in simulating pedestrians, and the simulation results are in good agreement with reality [26,31,32] It is widely used in the analysis of dense crowd events such as pedestrian travel on the road, bus passenger boarding and alighting, and fire crowd evacuation [8,33,34]. Pedestrians will be able to pass in congested state by means of communication and communication so that pedestrians do not stagnate To solve such problems of CA, the rest of this paper proceeds as follows: Section 2 develops the CA model for bus passenger boarding and alighting. There are few researches on bus passengers based on micro-simulation, so this article has a breakthrough development significance in the field of bus passenger research
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