Dec 26, 2019 · It shows that the model proposed in this paper can effectively and accurately mine the hot spots of urban residents' activities. It plays an ...

In this paper, the data is preprocessed in the first place. Then, the passengers' pick-up points and travel track points are extracted, and the statistical ...

Jan 6, 2020 · Therefore, GPS floating car data is supposed to be processed for improvement to the effec- tiveness and accuracy of the research results. The ...

An improved FCM clustering algorithm is suggested in this paper, which adopts adaptive distance norm and adds its own norm induction matrix to each cluster ...

Nov 18, 2019 · It provides a new perspective for the study of urban functional region identification. Firstly, the main functional regions of the city studied ...

May 17, 2016 · The approach is mainly based on spatio- temporal clustering techniques and is applied to the. GPS trajectories of floating cars in urban cities.

Feb 8, 2023 · This paper proposed a method by which to determine the purpose of residential travel by combining urban functional areas (UFAs) based on machine learning.

This paper analyzes both the spatial patterns of mixed land-use in urban areas and the potential laws governing the combination of internal functions.

Jan 13, 2016 · An analysis of urban traffic operation pattern and spatiotemporal mode is an important basis to solve the problems of traffic congestion, ...

In this paper, a framework is proposed to identify anomalous urban mobility patterns based on taxi GPS trajectories and Point of Interest (POI) data.