Please use this identifier to cite or link to this item:
Title: Estimation of travel time from GPS data
Authors: Lee, Kelvin
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2017
Abstract: In this “big data” era, a huge amount of data is collected on a daily basis, from the logistics to recreational sector and from customer shopping history to trains operation logs. However, these raw data are not being utilised enough to provide insights for better planning and operations. In the case of the taxi industry in Singapore whose total taxi fleet size is close to 25,000 with a daily total of 600,000 trips. This could be a potentially good source to give us insights about the traffic conditions, travel patterns etc. In this thesis, simple solution to the travel time estimation problem using nearest-neighbour methods is presented. The proposed methods have a 5% increase in estimation accuracy at 0.22 from a baseline method, while they suffer from high time complexities.
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP_Report_v5_Submitted Final.pdf
  Restricted Access
1.52 MBAdobe PDFView/Open

Page view(s)

Updated on Sep 26, 2023


Updated on Sep 26, 2023

Google ScholarTM


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