Acceso al sitio web del Consejo de Políticas de Infraestructura

   
ARTÍCULO
TITULO

Mining Users Mobility at Public Transportation

joao ferreira    

Resumen

In this research work we propose a new approach to estimate the number of passengers in a public transportation and determinate the users? route path based on a passive approach without user intervention. The method is based on the probe requests of users mobile device through the collected data in wireless access point. This data is manipulated to extract the information about the numbers of users with mobile devices and track their route path and time. This data can be manipulated to extract useful knowledge related with users? habits at public transportation and extract user mobility patterns.

PÁGINAS
pp. 32 - 41

 Artículos similares

       
 
Jinyu Fang, Yuan Ni and Jian Zhang    
UGC short videos play a crucial role in sharing information and disseminating content in the era of new information technology. Accurately assessing the value of UGC short videos is highly significant for the sustainable development of self-media platfor... ver más
Revista: Applied Sciences

 
Lidriana Pinheiro, Antônio Rodrigues Ximenes Neto, Francisco Assis Aquino Bezerra Filho, Cassia Rosane Silveira Pinto, Laldiane de Souza Pinheiro, Paulo Pessoa, Regimário Lima Filho, Regina Balbino da Silva, Jáder Morais, Adryane Gorayeb, Lorenzo Bramanti and Sergio Rossi    
Seascape mapping is critical to understanding ecosystem services and managing areas with potential for fishing, power generation, mining, and tourism. Despite advances in marine geophysics, the necessary equipment to make underwater cartography can be ex... ver más
Revista: Water

 
Rempu Sora Rayat, Adenantera Dwicaksono, Heru P. H. Putro and Puspita Dirgahayani    
This paper presents methods of retrieving Twitter data, both streaming and archive data, using Application Programming Interfaces. Twitter data are a kind of Location Based Social Network Data that, nowadays, is emerging in transportation demand modeling... ver más
Revista: Applied Sciences

 
Nasrin Elhassan, Giuseppe Varone, Rami Ahmed, Mandar Gogate, Kia Dashtipour, Hani Almoamari, Mohammed A. El-Affendi, Bassam Naji Al-Tamimi, Faisal Albalwy and Amir Hussain    
Social media networks have grown exponentially over the last two decades, providing the opportunity for users of the internet to communicate and exchange ideas on a variety of topics. The outcome is that opinion mining plays a crucial role in analyzing u... ver más
Revista: Computers

 
Yeon-Ji Park, Min-a Lee, Geun-Je Yang, Soo Jun Park and Chae-Bong Sohn    
The BioBERT Named Entity Recognition (NER) model is a high-performance model designed to identify both known and unknown entities. It surpasses previous NER models utilized by text-mining tools, such as tmTool and ezTag, in effectively discovering novel ... ver más
Revista: Applied Sciences