Visual Exploration of Big Spatio-Temporal Urban Data: A Study of New York City Taxi Trips

By Nivan Ferreira, Jorge Poco, H. Vo, Juliana Freire, Cláudio T. Silva. IEEE Transactions on Visualization and Computer Graphics, 2013

565 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Transportation, Signal Processing

View Paper: https://www.semanticscholar.org/paper/3dedf02916f9cb39ae60b7c9983519b47be8348a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Mohammad Ali Salahuddin
2. Ala Al-Fuqaha
3. Mohsen Guizani
4. Abdallah Khreishah
5. Issa M. Khalil
6. Sayed Jahed Hussini
7. Ammar M. Gharaibeh

In Transportation

1. Ala Al-Fuqaha
2. Mohsen Guizani

In Signal Processing

1. Ala Al-Fuqaha
2. Mohsen Guizani

Citations in the corpus

• SONYC (2019, unknown): “Transportation and Taxi and Limousine Commission.(7,10)”
• Smart Cities: A Survey on Data Management, Security, and Enabling Technologies (2017, methodology): “For example, translating New York City taxi trip data into urban visualization [261] and supporting traffic incident analysis [262].”
• Open Civic Data: Of the People, For the People, By the People (2014, background): “Innovative approaches like TaxiVis [34] leverage database indexing techniques to provide rich and efficient queries and data visualization over large amounts of multidimensional data.”