摘要
针对铁路旅客排队疲劳、工作人员办理效率低等问题,设计并实现了基于Linux平台的铁路售票厅排队叫号系统。通过数据库可视化分析、语音合成、实时广播、基于朴素贝叶斯算法的智能分析与预测等关键技术,实现取号、叫号、旅客评价、信息显示、后台信息管理等功能,提高了售票厅窗口售票业务的办理效率。基于某车站售票大厅的试点运行表明,该系统整合了车站综合信息,平衡了资源分配,有效提高了车站售票管理水平。
In response to the problems of railway queuing passenger fatigue and low efficiency of staff handling,this paper designed and implemented a queuing and calling system of railway ticket hall based on Linux platform.The paper used key technologies such as database visualization analysis,speech synthesis,real-time broadcasting,and intelligent analysis and prediction based on naive Bayesian algorithms to achieve functions such as take-a-number,calling,passenger evaluation,information display,and backend information management,improved the efficiency of window ticketing business processing.The pilot operation based on the ticket hall of a certain station shows that the system integrates comprehensive station information,balances resource allocation,and improved effectively the level of ticketing management at the station.
作者
付志霞
王然然
刘伟
万国睿
FU Zhixia;WANG Ranran;LIU Wei;WAN Guorui(Beijing Jingwei Information Technologies Co.Ltd.,Beijing 100081,China)
出处
《铁路计算机应用》
2024年第2期53-56,共4页
Railway Computer Application
基金
中国铁路网络有限公司科研项目(DZF22-05)。