Multi-worker-aware task planning in real-time spatial crowdsourcing

• Main Authors: TAO, Qian, ZENG, Yuxiang, ZHOU, Zimu, TONG, Yongxin, CHEN, Lei, XU, Ke
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Spatial crowdsourcing; Task assignment; Task planning; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/4735; https://ink.library.smu.edu.sg/context/sis_research/article/5738/viewcontent/dasfaa18_tao.pdf
• Institution: Singapore Management University

Spatial crowdsourcing emerges as a new computing paradigm with the development of mobile Internet and the ubiquity of mobile devices. The core of many real-world spatial crowdsourcing applications is to assign suitable tasks to proper workers in real time. Many works only assign a set of tasks to ea...