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Twenty-first century as an important symbol of the era of the knowledge economy and big data, Internet and networking have a rapid development and have become indispensable data sources in people's lives. Besides, because of its convenience and quickness, these are increasingly applied in more and more aspects. Among them, POI as a true representative of the geographical entity on the network map...
As an important mode of urban transportation, taxi is of considerable significance for the commuters. The taxi service stations are important for the efficient operations of taxis. Current approaches for the location optimization of taxi service stations are not well aligned with the actual demand. The present study uses the taxi GPS data to identify and extract actual service needs. Then based on...
Using Baidu thermal diagram big data, analyzed the spatial and temporal behavior of Wuyi square, by applying spatial clustering, nuclear density analysis, spatial superposition and other spatial quantitative analysis method, verify and explain this time and space dynamic changes of internal factors. According to the analysis, under the support of Baidu thermal diagram big data, the dynamic changes...
Taxi serves as a main transportation means for urban residents. The driving behavior recorded by Taxi GPS data can be a mirror to urban life. Therefore, this study adopts taxi GPS data to extract active area of the city and examine the weekday and weekend discrepancy. Moreover, the point of interests (POI) is combined to reveal the characteristics of the city. The method proposed in this study can...
The studies of traditional human behavior dynamics and complex network of human communication are usually based on individuals or the groups. However, urban residents who are separated by urban road network and divided into different parts by spatial distance and geographical constraints, show different characteristics from the individuals and groups. In this paper, we study the dynamical characteristics...
Modeling human movement has recently received significant research interest due to its applications in disaster management, transportation planning, communication networks and epidemic modeling and prediction. Most of the prior human mobility studies use data which is coarse-grained, proprietary or limited in size. In contrast, this study utilizes a large amount of publicly available data from Twitter...
This paper aims to tackle the shortcomings of the standard artificial bee colony algorithm (ABC) such as slow convergence, long solving time and being easy to fall into local optima. We study the state transformation formula and propose a parallelized ABC algorithm with Message Passing Interface (MPI). We use the traveling salesman problem (TSP) as the case study. Our experiments show that the parallel...
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