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traffic demand forecast system based on agents

机译:基于Agent的交通需求预测系统

摘要

The present invention relates to an individual passenger-based traffic demand forecasting system capable of predicting traffic demand based on individual passengers, out of a traffic zone-based analysis method. To this end, the present invention provides a traffic demand forecasting system based on individual passengers, wherein the traffic demand forecasting system comprises an activity plan data generating module for generating activity plan data of individual travelers, And a traffic simulation module for predicting a traffic volume on the virtual map, wherein the activity plan data generation module comprises: an individual passenger identifier generation module for generating an individual passenger identifier capable of identifying each individual passenger; An activity coordinate generation module for generating a departure point and a destination of the individual passenger based on the actual traffic volume; And an activity content generation module for generating an activity type, an activity means, and an activity time of the individual passers based on the inter-area passenger traffic data. According to the present invention, it is possible to automatically generate data of a large individual passenger in a wide area such as the metropolitan area, thereby realizing predictions of real-time traffic demand more accurately and quickly.
机译:基于交通区域的分析方法中的基于个人乘客的交通需求预测系统技术领域本发明涉及一种能够基于个人乘客预测交通需求的基于个人乘客的交通需求预测系统。为此,本发明提供了一种基于个人乘客的交通需求预测系统,其中交通需求预测系统包括:活动计划数据生成模块,用于生成个人旅行者的活动计划数据;以及交通模拟模块,用于预测交通量在虚拟地图上,其中,活动计划数据生成模块包括:个人乘客标识符生成模块,用于生成能够识别每个个人乘客的个人乘客标识符;以及活动坐标生成模块,用于基于实际交通量生成单个乘客的出发点和目的地;以及活动内容生成模块,用于基于区域间的乘客交通数据来生成各个行人的活动类型,活动手段和活动时间。根据本发明,可以自动生成在诸如市区之类的广域中的大的单个乘客的数据,从而更准确和快速地实现对实时交通需求的预测。

著录项

  • 公开/公告号KR101473103B1

    专利类型

  • 公开/公告日2014-12-15

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR20130070084

  • 发明设计人 이승재;신흥권;김주영;유연승;

    申请日2013-06-19

  • 分类号G08G1/01;G08G1;

  • 国家 KR

  • 入库时间 2022-08-21 15:01:06

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