amended_thesis_submitted.pdf (3.34 MB)

In Search of Points of Interest: A Story of Decoupled Heuristics on Road Networks

Download (3.34 MB)
thesis
posted on 22.07.2019 by TENINDRA NADEESHAN ABEYWICKRAMA
Map-based services like Google Maps have become a part of daily life. The key to many of these services is in finding points-of-interest through the road network. For example, a ride-hailing app like Uber must find the nearest drivers to your location by their ETA. As a result, accurately and efficiently finding such points-of-interest in road networks has become an important area of scientific endeavour. This thesis tells a story of a long-neglected strategy known as “Decouple Heuristics”, which we revive to develop new techniques that significantly improve the performance of road network point-of-interest search.

History

Campus location

Australia

Principal supervisor

Aamir Cheema

Additional supervisor 1

David Taniar

Year of Award

2019

Department, School or Centre

Clayton School of IT

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Information Technology

Exports

Exports