Real-time and generic queue time estimation based on mobile crowdsensing

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• 作者：Jiangtao Wang ; Yasha Wang ; Daqing Zhang ; Leye Wang…
• 关键词：mobile crowdsensing ; queue time estimation ; opportunistic and participatory sensing
• 刊名：Frontiers of Computer Science
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：11
• 期：1
• 页码：49-60
• 全文大小：
• 刊物类别：Computer Science
• 刊物主题：Computer Science, general;
• 出版者：Higher Education Press
• ISSN：2095-2236
• 卷排序：11

文摘

People often have to queue for a busy service in many places around a city, and knowing the queue time can be helpful for making better activity plans to avoid long queues. Traditional solutions to the queue time monitoring are based on pre-deployed infrastructures, such as cameras and infrared sensors, which are costly and fail to deliver the queue time information to scattered citizens. This paper presents CrowdQTE, a mobile crowdsensing system, which utilizes the sensor-enhanced mobile devices and crowd human intelligence to monitor and provide real-time queue time information for various queuing scenarios. When people are waiting in a line, we utilize the accelerometer sensor data and ambient contexts to automatically detect the queueing behavior and calculate the queue time. When people are not waiting in a line, it estimates the queue time based on the information reported manually by participants. We evaluate the performance of the system with a two-week and 12-person deployment using commercially-available smartphones. The results demonstrate that CrowdQTE is effective in estimating queuing status.