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Design and Realization of City Tourism Route Intelligent Programming System

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DOI: 10.23977/iotea.2016.11004 | Downloads: 47 | Views: 3812


Zhu Shuai 1, Zhou Xiao 1, Chen Li 1, Zhang Yiming 1, Lin Haizhao 1


1 Information Engineering University, No.62 Kexue Avenue, High-tech Zone, Zhengzhou, Henan province, China

Corresponding Author

Zhou Xiao


Travelers choosing tourism route subjectively is usually not optimal. Set neural net algorithm as data model, city tourism route intelligent planning system is designed and developed. The sampling method is used to select urban scenic spot, and intelligent programming algorithm is set up. The function and structure of the system are designed. Through system developing and function example analyzing, system's main function and auxiliary function are studied. Function test and user experience show that this system has good operation, while planned tourism route can meet the needs of most tourist group and obtain the maximum tourist motive benefits.


city tourism; neural net; tourism route; intelligent programming; system development


Xiao, Z. , Yiming, Z. , Chen, L. , Haizhao, L. and Shuai Z. (2016) Design and Realization of City Tourism Route Intelligent Programming System. Internet of Things (IoT) and Engineering Applications (2016) 1: 17-22.


[1] ZHAO X M, SUN Q X, DING Y. Passenger choice behavior for regional rail transit under express/local operation with overtaking. Journal of Transportation Systems Engineering and Information Technology, 2016,16(5) , p.104-109.
[2] WANG C Y, QU H L. Tourist motive,destination image and tourism expectation. Tourism Tribune,2013,28(6) , p.26-34.
[3] LONG X Q, WANG J J, ZHOU B. Travelers dynamic decision making based on decision field theory. Journal of Transportation Systems Engineering and Information Technology, 2016,16(1) , p.12-18.
[4] Nicolau J L,Ma's F J. The influence of distance and prices on the choice of tourist destinations:the moderating role of motivations. Tourism Management, 2006, 27, p.982-996.
[5] LI X J, CUI S S, ZHANG K. Neural net method of best tourism route choice. Transportation and Computer, 2006,24(5) , p.103-106.

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