DocumentCode
518875
Title
Notice of Retraction
Prediction of short-term bus routes passage flow based on wavelet analysis
Author
Zhao Shuzhi ; Ni Tonghe
Author_Institution
Transp. Plan & Manage. Dept., Transp. & Traffic Coll. of Jilin Univ., Changchun, China
Volume
2
fYear
2010
fDate
27-29 March 2010
Firstpage
49
Lastpage
52
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
It is the basis for higher levels of benefits that whether a Public transport enterprises can allocate reasonably. During the bus business operations, the phenomenon of peak lack and pling peak idle of vehicle resources, results in a lower quality of service, passenger satisfaction is not high. In this paper, wavelet analysis and neural network methods are used to study the distribution of passenger flow at various time slots of bus routes, put forward a prediction method of bus line passenger flow time, describe the distribution of passenger flow of time-line, predict passenger flow of the period of the bus lines, and the transport vehicle dynamics control and reasonable dispatch can be realized.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
It is the basis for higher levels of benefits that whether a Public transport enterprises can allocate reasonably. During the bus business operations, the phenomenon of peak lack and pling peak idle of vehicle resources, results in a lower quality of service, passenger satisfaction is not high. In this paper, wavelet analysis and neural network methods are used to study the distribution of passenger flow at various time slots of bus routes, put forward a prediction method of bus line passenger flow time, describe the distribution of passenger flow of time-line, predict passenger flow of the period of the bus lines, and the transport vehicle dynamics control and reasonable dispatch can be realized.
Keywords
customer satisfaction; distribution strategy; neural nets; road traffic; transportation; wavelet transforms; bus business operation; bus line passenger flow time; bus routes time slots; neural network methods; passenger flow distribution; passenger satisfaction; peak lack; pling peak idle; public transport enterprise; short-term bus routes passage flow prediction; transport vehicle dynamics control; vehicle resources; wavelet analysis; Economic forecasting; Fourier transforms; Frequency; Neural networks; Road transportation; Signal analysis; Signal processing; Vehicles; Wavelet analysis; Wavelet transforms; bus routes; passenger flow; prediction; wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location
Shenyang
Print_ISBN
978-1-4244-5845-5
Type
conf
DOI
10.1109/ICACC.2010.5487178
Filename
5487178
Link To Document