：针对学生群体出行计划性强、组织性好、客流高度集中的特点，基于B/S 体系结构、Ajax 等技术，并运用BP 神经网络客流预测模型，开发出校园公路客运订票系统。通过该订票系统， 可以实现学生客运车票的订购，并且学校管理部门能够查询学生出行的实时数据，便于学校管理 部门及时了解学生出行动态，实现学校对学生安全出行及外出集中实习教学的管理。客运部门应 用本系统可及时处理学生客流所引发的客流高峰问题，并通过对学生订票信息数据的挖掘和预测 分析，可提高信息化管理水平和服务质量。应用该订票系统对客运量进行预测，结果表明预测数 据与实际客运量误差较小，系统可提供较准确的客运信息。

For students travel was strongly planed, well organized, and highly centralized, a campus booking system for highway passenger was developed based on B/S architecture, Ajax technology, and the BP neural network prediction model. Through the booking system, students can order tickets. And the administrative department of schools can search real-time data about students′ travel at the same time, grasp the dynamic status of students′ travel, achieve the management of students′ safety travel and centralized internship teaching. The system was easy to help passenger transport departments timely han⁃ dle problems caused by students′ peak flow. Moreover, through digging and forecasting data about ticket⁃ ing information, passenger transport department can improve the level of informatization management and the quality of service. The passenger volume was predicted by the booking system. The results showed that the error between predicted data and actual passenger volume was small, and more accurate information of passenger transport was provided by the booking system.