Existing Research Static Scenarios: considered as the offline maximum weighted bipartite graph matching problem A crowd worker A spatial task 5 3 Weight: the utility 9 score between a task and a worker 2 Finding a matching to maximize the total utility 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⚫ Static Scenarios: considered as the offline maximum weighted bipartite graph matching problem. 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. A spatial task A crowd worker 3 5 7 9 2 1 11 6 7 Weight: the utility score between a task and a worker. Finding a matching to maximize the total utility 9