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Content Provider | IEEE Xplore Digital Library |
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Author | Xubin Sun Yue Zhang Gaoyou Qin Hairong Dong Fu Guan |
Copyright Year | 2012 |
Description | Author affiliation: China Communications Construction Company Limited, Beijing, China (Fu Guan) || State Key Laboratory of Rail Traffic Control and Safety , Beijing Jiaotong University, 100044, China (Xubin Sun; Yue Zhang; Gaoyou Qin; Hairong Dong) |
Abstract | This paper investigates the coordination of two subway lines with computational experiments based on ACP approach. The arriving interval of the two subway lines at the transfer station is optimized, making the average transfer time shortest. Firstly, the subway station artificial system is established, where the pedestrians are modeled using social force model. Secondly, computational experiments are executed in a transfer station taking train arrival interval of two subway lines as optimization variable. Optimal arrival interval is obtained which makes the average transfer time shortest. Finally, further computational experiments are made considering pedestrian characteristics, including pedestrian velocity and density. The average transfer time can be reduced by 7.91%, using the optimal train arrival interval of two subway lines. Pedestrian transfer time optimization is an efficient way to relieve subway congestion and improve coordination of subway lines. |
Starting Page | 90 |
Ending Page | 95 |
File Size | 853650 |
Page Count | 6 |
File Format | |
ISBN | 9781467303620 |
ISSN | 21618151 |
e-ISBN | 9781467303644 |
e-ISBN | 9781467303637 |
DOI | 10.1109/ICAL.2012.6308176 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-08-15 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Rails Legged locomotion Computational experiment Computational modeling Force Social force model Subwayl station artificial system Mathematical model Average transfer time Optimization Urban rail coordination Vehicles |
Content Type | Text |
Resource Type | Article |
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