摘要
社会生活节奏的加快使中长距离出行次数显著增加,旅客因错记乘车(登机)信息和对乘坐城市公共交通到达火车站(机场)所需行程时间预留不足,而错过乘车(登机)时间的情况时有发生,为乘客造成不便的同时,也浪费了社会资源。本文提出的乘客出发时间智能提示系统应用历史GPS、GIS等数据,使用基于时间序列法的常规公交行程时间预测模型、基于图遍历算法的地铁行程时间预测模型,预测乘客乘坐公共交通的行程时间,通过向乘客发送短信的方式提示乘客票面信息与最晚出发时间。应用Microsoft Visual Basic 6.0作为开发语言,Access作为数据库,设计乘客出发时间智能提示系统。
The accelerating pace of life has led to a significant increase in the number of long-distance travels.Passengers often miss boarding their rides owing to false memories of travel(boarding)information and insufficient budget for travel time to the train station(or airport)using urban public transportation,which not only inconveniences the passengers but also wastes social resources.This paper proposes the passenger departure time intelligent prompt system that applies historical GPS and GIS data,using conventional bus direct travel time prediction modeling based on time-series methods and subway travel time prediction models based on the graph traversal algorithm in order to predict the travel time of passengers using public transportation.The system realizes the function of prompting passengers’ticket information and the latest departure time by sending them short messages.Microsoft Visual Basic 6.0(as a development language)and Access(as a database)are applied to the design of the passenger departure time intelligent prompt system.
作者
肖婷
蔡雨
瞿何舟
XIAO Ting;CAI Yu;QU He-zhou(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 611756,China;National United Engineering Laboratory of Integrated and Intelligent Transportation,Chengdu 611756,China)
出处
《交通运输工程与信息学报》
2019年第3期118-124,132,共8页
Journal of Transportation Engineering and Information
关键词
出发时间
智能提示系统
行程时间
departure time
intelligent prompt system
travel time
作者简介
肖婷(1995-),女,四川资阳人,西南交通大学交通运输与物流学院硕士研究生,研究方向:交通运输规划与管理。
