Izvorni znanstveni članak

https://doi.org/10.17559/TV-20210524160052

Modelling the Selection of Waiting Areas on Subway Platforms Based on the Bacterial Chemotaxis Algorithm

Guang Yuan ; 1) Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology 2) Engineering Research Center of Digital Community, Ministry of Education, Beijing University of Technology 3) Beijing Laboratory for Urban Mass Transit, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing 100124, China 4) Beijing Institute of Economic and Social Development, 55 Yunhe East St, Tongzhou District, Beijing 101160, China
Dewen Kong ; 1) Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology 2) Engineering Research Center of Digital Community, Ministry of Education, Beijing University of Technology 3) Beijing Laboratory for Urban Mass Transit, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing 100124, China
Lishan Sun ; 1) Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology; 2) Engineering Research Center of Digital Community, Ministry of Education, Beijing University of Technology 3) Beijing Laboratory for Urban Mass Transit, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing 100124, China
Guangtong Liu ; Qingdao Municipal Engineering Design Research Institute, 222 Shenzhen Road, Laoshan District, Qingdao, 266100, China
Yingda Chen ; 1) Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology 2) Engineering Research Center of Digital Community, Ministry of Education, Beijing University of Technology 3) Beijing Laboratory for Urban Mass Transit, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing 100124, China 4) Tongji University, Ministry of Education, The Key Laboratory of Road & Traffic Engineering, 4800 Caoyang Road, Jiading District, Shanghai 201804, China

Sažetak

Based on the bacterial chemotaxis algorithm, a new waiting-area selection model (WASM) is proposed that predicts well the pedestrian distribution in subway waiting areas. WASM regards passengers waiting on a subway platform as two-dimensional points and adopts an essential rejection factor to determine the target waiting area. Based on WASM, three experiments were carried out to explore how passenger volume, waiting-area capacity, and staircase position affect the number and distribution of waiting passengers. The experimental results show the following. 1) Regardless of the passenger flow, passengers prefer waiting areas that are between the stairs. 2) Setting proper capacity limits on waiting areas can help to improve subway transportation efficiency when passenger flow is relatively high. 3) The experimental results show that the closer the staircases, the more passengers are left stranded on the platform.

Ključne riječi

bacterial chemotaxis algorithm; pedestrian distribution; subway platform; waiting area selection

Hrčak ID:

288414

URI

https://hrcak.srce.hr/288414

Datum izdavanja:

15.12.2022.

Posjeta: 526 *