Passenger Flow Prediction of Subway Transfer Stations Based on Nonparametric Regression Model
Passenger flow is increasing dramatically with accomplishment of subway network system in big cities of China. As convergence nodes of subway lines, transfer stations need to assume more passengers due to amount transfer demand among different lines. Then, transfer facilities have to face great pres...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2014/397154 |
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| _version_ | 1832553273053151232 |
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| author | Yujuan Sun Guanghou Zhang Huanhuan Yin |
| author_facet | Yujuan Sun Guanghou Zhang Huanhuan Yin |
| author_sort | Yujuan Sun |
| collection | DOAJ |
| description | Passenger flow is increasing dramatically with accomplishment of subway network system in big cities of China. As convergence nodes of subway lines, transfer stations need to assume more passengers due to amount transfer demand among different lines. Then, transfer facilities have to face great pressure such as pedestrian congestion or other abnormal situations. In order to avoid pedestrian congestion or warn the management before it occurs, it is very necessary to predict the transfer passenger flow to forecast pedestrian congestions. Thus, based on nonparametric regression theory, a transfer passenger flow prediction model was proposed. In order to test and illustrate the prediction model, data of transfer passenger flow for one month in XIDAN transfer station were used to calibrate and validate the model. By comparing with Kalman filter model and support vector machine regression model, the results show that the nonparametric regression model has the advantages of high accuracy and strong transplant ability and could predict transfer passenger flow accurately for different intervals. |
| format | Article |
| id | doaj-art-844ecdf08a3c4c90bc0cd306a61e8e82 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-844ecdf08a3c4c90bc0cd306a61e8e822025-02-03T05:54:29ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2014-01-01201410.1155/2014/397154397154Passenger Flow Prediction of Subway Transfer Stations Based on Nonparametric Regression ModelYujuan Sun0Guanghou Zhang1Huanhuan Yin2College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, ChinaInstitute of Comprehensive Transportation of NDRC, Beijing 100038, ChinaResearch Institute of Highway Ministry of Transport, Beijing 100088, ChinaPassenger flow is increasing dramatically with accomplishment of subway network system in big cities of China. As convergence nodes of subway lines, transfer stations need to assume more passengers due to amount transfer demand among different lines. Then, transfer facilities have to face great pressure such as pedestrian congestion or other abnormal situations. In order to avoid pedestrian congestion or warn the management before it occurs, it is very necessary to predict the transfer passenger flow to forecast pedestrian congestions. Thus, based on nonparametric regression theory, a transfer passenger flow prediction model was proposed. In order to test and illustrate the prediction model, data of transfer passenger flow for one month in XIDAN transfer station were used to calibrate and validate the model. By comparing with Kalman filter model and support vector machine regression model, the results show that the nonparametric regression model has the advantages of high accuracy and strong transplant ability and could predict transfer passenger flow accurately for different intervals.http://dx.doi.org/10.1155/2014/397154 |
| spellingShingle | Yujuan Sun Guanghou Zhang Huanhuan Yin Passenger Flow Prediction of Subway Transfer Stations Based on Nonparametric Regression Model Discrete Dynamics in Nature and Society |
| title | Passenger Flow Prediction of Subway Transfer Stations Based on Nonparametric Regression Model |
| title_full | Passenger Flow Prediction of Subway Transfer Stations Based on Nonparametric Regression Model |
| title_fullStr | Passenger Flow Prediction of Subway Transfer Stations Based on Nonparametric Regression Model |
| title_full_unstemmed | Passenger Flow Prediction of Subway Transfer Stations Based on Nonparametric Regression Model |
| title_short | Passenger Flow Prediction of Subway Transfer Stations Based on Nonparametric Regression Model |
| title_sort | passenger flow prediction of subway transfer stations based on nonparametric regression model |
| url | http://dx.doi.org/10.1155/2014/397154 |
| work_keys_str_mv | AT yujuansun passengerflowpredictionofsubwaytransferstationsbasedonnonparametricregressionmodel AT guanghouzhang passengerflowpredictionofsubwaytransferstationsbasedonnonparametricregressionmodel AT huanhuanyin passengerflowpredictionofsubwaytransferstationsbasedonnonparametricregressionmodel |