An Investigation Into Automatic Road Network Update Using Trajectory Data and Performance- Guided Neural Network
PhD Thesis
Ekpenyong, Frank Udo 2010. An Investigation Into Automatic Road Network Update Using Trajectory Data and Performance- Guided Neural Network. PhD Thesis University of East London School of Computing, Information Technology and Engineering
Authors | Ekpenyong, Frank Udo |
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Type | PhD Thesis |
Abstract | This research aims to categorise road network recorded trajectory data using Artificial Neural Network (ANN) such that the travelled road class can be revealed. This would inform on the feasibility of implementing an automated road update system that would rely on user recorded trajectory data to automate the discovery, classification, and update of candidate road network segments to existing |
Keywords | Snap-Drift Neural Network; Artificial Neural Network; Geographic information system |
Year | 2010 |
Publication dates | |
2010 | |
Publication process dates | |
Deposited | 12 Sep 2013 |
Additional information | This thesis supplied via ROAR to UEL-registered users is protected by copyright and other intellectual property rights, and duplication of any part of the material is not permitted, except for your personal use for the purposes of non-commercial research and private study in electronic or print form. You must obtain permission from the copyright-holder for any other use. Electronic or print copies may not be offered, for sale or otherwise, to anyone. No quotation from the thesis may be published without proper acknowledgement. |
Publisher's version | File Access Level Registered users only |
https://repository.uel.ac.uk/item/862w7
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