杭州东站有多大？占地122万平方米！ 想知道网约车在哪上车、排队要等多久？想找最近的洗手间或寄存行李？在日均客流40万人次的杭 州东站，这些难题如今用手机"碰一下"就能解决。 近日，全国首个依托"室内音频北斗"技术打造的枢纽AI助手——"杭小东"，在杭州东站正式上岗试 运行。 市民胡英杰成为首位尝鲜者，他对着电子大屏轻触语音输入："去哪里坐网约车？" 2秒后便得到精准答案："您可以前往最近的杭州东站网约车1号上车点或6号上车点乘坐网约车。其 中，1号上车点位于B1层，距离您约215米，当前排队93人，预计等待15分钟……" 胡英杰兴奋地展示专属"001号"纪念车票书签："手机一键导航，输入车牌就知道车位，真是'黑科 技'！" 定位精度提升至0.5米 问询服务智能升级 最实用的是，"杭小东"可不只是告诉你"怎么走"，它真能"带你去"。 记者在小程序里输入"我要打车"，它实时显示："6号上车点当前候车69人，预计等待11分钟；1号 上车点当前候车91人，预计等待15分钟。"记者选了能更快上车的6号上车点的"导航前往"按钮， 它"唰"就规划出路线，显示"距6号上车点150米"。 此外，"杭小东"配备了智能问答功能。 ...

Core Viewpoint - The launch of "Hang Xiao Dong," an AI assistant at Hangzhou East Station, marks a significant advancement in smart navigation and AI services in transportation hubs, enhancing the travel experience for passengers [1][2]. Group 1: Technology and Functionality - "Hang Xiao Dong" is the first AI assistant in the country utilizing "indoor audio Beidou" technology, currently in trial operation mode [1]. - The AI assistant allows travelers to obtain personalized travel plans through simple voice or text commands, facilitating a seamless travel experience [1][2]. - The system improves navigation accuracy from 5 meters to 0.5 meters, integrating with ground guidance systems for enhanced user experience [1]. Group 2: User Experience and Services - The AI assistant provides real-time information on distances to various transport nodes, such as subways and buses, and offers critical data like taxi queue lengths and ride-hailing wait times [2]. - "Hang Xiao Dong" features an intelligent Q&A function, addressing inquiries related to ticket purchases, service desk locations, dining, shopping, and luggage storage [2]. - The service covers the entire travel process, from pre-trip planning to in-station navigation and post-trip feedback, transitioning from standardized to personalized intelligent services [2]. Group 3: Future Developments - Future plans for "Hang Xiao Dong" include integrating additional features like "Easy Travel" and "Robot Personalized Guidance," aiming to create a comprehensive smart travel ecosystem [2].