Existing Research Early research directly models the task assignment problem through the classical offline bipartite matching"problem, which tries to maximize the total number of the assignment Worker Task (1,8) w r2(3,6) r1(2,5 f4(65) 4 7(5,3.5) Ws(8,2) Edge: a worker can 6(4,1)W4(6,1) arrive at the location 012345678X of a task before the deadline of the task Kazemi et aL. Geocrowd: enabling query answering with spatial crowdsourcing In GIS 2012. H. To et al. A server-assigned spatial crowdsourcing framework In TASA 2015⚫ Early research directly models the task assignment problem through the classical “offline bipartite matching” problem, which tries to maximize the total number of the assignment Existing Research L. Kazemi et al. Geocrowd: enabling query answering with spatial crowdsourcing. In GIS 2012. H. To et al. A server-assigned spatial crowdsourcing framework. In TASA 2015. Worker Task Edge: a worker can arrive at the location of a task before the deadline of the task. 6