Please use this identifier to cite or link to this item:
Title: On analysing urban mobility data for smart cities - 2
Authors: Ng, Sheryl Wenwei
Keywords: Engineering::Computer science and engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Ng, S. W. (2022). On analysing urban mobility data for smart cities - 2. Final Year Project (FYP), Nanyang Technological University, Singapore.
Project: SCSE21-0397
Abstract: The taxi industry in Singapore is one of the most important and integral part of Singapore’s transport landscape. When it comes to taking a taxi, Singaporeans prioritise the efficiency and the time saved when hailing a taxi. Therefore, it is crucial to understand the demand and supply of the taxis in Singapore and this can be inferred from real-time taxi availability. This project aims to analyse the availability of taxis in Singapore and design a prediction model using different machine learning models.
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
Sheryl Ng Wenwei CE4079 Final Year Project final.pdf
  Restricted Access
836.78 kBAdobe PDFView/Open

Page view(s)

Updated on May 18, 2022


Updated on May 18, 2022

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.