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

Wang, Jiangtao and Wang, Yasha and Zhang, Daqing and Wang, Leye and Chen, Chao and Lee, Jae Woong and He, Yuanduo (2017) Real-time and generic queue time estimation based on mobile crowdsensing. FRONTIERS OF COMPUTER SCIENCE, 11 (1). pp. 49-60. ISSN 2095-2228

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Abstract

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.

Item Type:
Journal Article
Journal or Publication Title:
FRONTIERS OF COMPUTER SCIENCE
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2614
Subjects:
ID Code:
131996
Deposited By:
Deposited On:
14 Mar 2019 16:15
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Sep 2020 05:20