• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Proceeding of 2009 international workshop on GIS for transportation >A PROMPTED RECALL INTERVIEW PLATFORM FOR GPS-BASED HTS:DESIGN AND DEVELOPMENT
【24h】

A PROMPTED RECALL INTERVIEW PLATFORM FOR GPS-BASED HTS:DESIGN AND DEVELOPMENT

机译：基于GPS的HTS提示呼叫面试平台：设计与开发

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A web-based prompted recall interview platform for passive GPS-based household travel survey (HTS) was introduced, which was developed through the integration of ASP.NET, an Ajax UI frame called ExtJS, and Google Map API. The system functionality includes user self-administrated GPS data uploading, trip visualization, and interactive trip revision and attribution, web database management, automated data cleaning, trip-stop detection, and trajectory simplification,. GPS-based travel data of up to six days and relevant personal data were collected from a group of residents in Shanghai to investigate the feasibility of using the web-based prompted recall approach to assist GPS-based HTS in a metropolis environment, which is typically characterized by such poor GPS survey conditions as urban canyon effects, high population density, severe traffic congestions, and diverse transportation modes. A data thinning solution was also experimented for efficient trip route visualization. The preliminary results indicated that this platform was able to improve trip recall accuracy with a heuristic, friendly, and geospatially visualized interface for survey respondents, while the specific algorithm design could tolerate greater errors in trip recall and attribution. The low demand for recall precision and the relaxing interview environment led to a salient reduction of the physical and mental burden of respondents.
机译：引入了一个基于Web的提示召回面试平台，用于基于被动GPS的家庭旅行调查（HTS），该平台是通过ASP.NET，名为ExtJS的Ajax UI框架和Google Map API的集成开发的。该系统功能包括用户自我管理的GPS数据上载，行程可视化以及交互式行程修订和归因，Web数据库管理，自动数据清理，行程停止检测以及轨迹简化。从上海的一组居民中收集了长达六天的基于GPS的旅行数据和相关个人数据，以调查在大都市环境中使用基于Web的提示召回方法来协助基于GPS的HTS的可行性。 GPS调查条件不佳，例如城市峡谷效应，高人口密度，严重的交通拥堵和多样化的交通方式。还对数据稀疏解决方案进行了实验，以实现有效的行程路线可视化。初步结果表明，该平台能够通过为调查受访者提供启发式，友好且地理空间可视化的界面来提高行程召回的准确性，而特定的算法设计可以容忍行程召回和归因中的更大错误。对召回准确性的低要求和轻松的访谈环境导致显着减轻了受访者的身心负担。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号