Pedestrians Complex Behavior Understanding and Prediction with Hybrid Markov Chain

Pages: 200 - 207
Published: Aug 20, 2018
Abstract
The prevalence of smartphones equipped with global positioning system has enabled researchers to excavate users mobility patterns in the cities. The knowledge of users’ behavior, such as their locations, plays a significant role in location-based services, resource management, logistic administration and urban planning. To understand complex behavior of humans we utilize spatio-temporal analysis on collected geo-location points to exploit...
Paper Details
Title
Pedestrians Complex Behavior Understanding and Prediction with Hybrid Markov Chain
Published Date
Aug 20, 2018
Journal
Pages
200 - 207
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