Taxis are an important part of public transportation in nowadays. Taking a vacant taxi has become a difficult problem due to the imbalance between demand and supply of taxi service. People want to know where is better to wait for a vacant taxi in order to save their time in the fast-paced city life. Helpful information could be provided to the passengers by mining the historical GPS traces generated by taxis. In this paper, we propose a model based on taxi traffic flow (TTF) model to measure the difficulty of taking a vacant taxi on the road segments nearby. Furthermore, we calculate probability and expected waiting time of taking a vacant taxi based on TTF model. Afterwards, we detect the hotspots on the road segments expecting to offer more available information. Our research is based on the real historical taxi GPS data generated by 12000 taxis in Beijing. We conduct experiments to validate our model eventually and the experimental results are in line with the actual situation well relatively.
Pico-satellite’s potential use is increasingly gaining nation’s recognition. Because of its small volume and light weight, it is necessary to develop the special deployer. The key technologies of Zhejiang University Pico-Satellite Deployer (ZDPSD) are, cutter unlocking the door, conical spring driving the pico-satellite, oriented rail restricting the direction and locking shaft fixing the door. In September 2010, the two pico-satellites were launched and deployed successfully at the predetermined orbit. The paper includes designing and analyzing of the moving system, mode analyzing of the deployer and the experiments on ground and in-orbit. The key process of the development is summarized, which can be regarded as reference for the further developing.
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