Analysis of Bus Trip Characteristics and Demand Forecasting Based on NARX Neural Network Model
Joint Authors
Guo, Dong
Su, Wenheng
Liu, Weixuan
Cao, Hui
Zhu, Ye
Feng, Sun
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-25
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
In recent years, there has been increased interest in the use of bus IC card data to analyze bus transit time characteristics, and the prediction is no longer confined to rail traffic passenger flow prediction and traditional traffic flow prediction.
Research on passenger flow forecast for the bus IC card has been increasing year by year.
Based on the bus IC card data of Qingdao City, this paper first analyzes the characteristics of one-day passenger flow and passenger flow during subperiods and conducts a separate study on the characteristics of the elderly.
The results show that the travel of the elderly is also affected by the weekday and the weekend.
Then, based on the ARIMA model and the NARX neural network model, the passenger flow forecasting (10-minute interval) is carried out using the IC card data of No.
1 bus for 5 weekdays.
The prediction results show that the NARX neural network model is effective in the short-term prediction of bus passenger flow, and especially, it is more accurate in the peak hour and large-scale data prediction.
American Psychological Association (APA)
Feng, Sun& Su, Wenheng& Liu, Weixuan& Cao, Hui& Guo, Dong& Zhu, Ye. 2018. Analysis of Bus Trip Characteristics and Demand Forecasting Based on NARX Neural Network Model. Journal of Electrical and Computer Engineering،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1184412
Modern Language Association (MLA)
Feng, Sun…[et al.]. Analysis of Bus Trip Characteristics and Demand Forecasting Based on NARX Neural Network Model. Journal of Electrical and Computer Engineering No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1184412
American Medical Association (AMA)
Feng, Sun& Su, Wenheng& Liu, Weixuan& Cao, Hui& Guo, Dong& Zhu, Ye. Analysis of Bus Trip Characteristics and Demand Forecasting Based on NARX Neural Network Model. Journal of Electrical and Computer Engineering. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1184412
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1184412