Project Title: Route Planning Techniques for Autonomous HGV decision making
Project Description:
This research project seeks to investigate and prototype techniques to alleviate delay of heavy goods vehicles (HGV) caused by non-forecastable events. It aims to research and develop route planning techniques to aid HGV decision making and thus avoid delay due to non-forecastable events. The objectives of the project are to:
Skills and knowledge required for this project: Some understanding of AI, data mining, and an interest in road traffic management. This would suit undergraduates (1st, 2:1 or equivalent) in Computer Science or Software Engineering.
Collaboration: It is possible that research students could work with one or more of our collaborators in the Transport Systems sector.
Entry requirements: The standard entry requirement for PhD study is a First or Upper Second class honours degree, or the overseas equivalent, in a relevant subject. In certain circumstances, a Lower Second class honours degree supplemented by a Masters degree, or appropriate relevant work experience, may be acceptable.
Course fees: Tuition Fees
Related website: Knowledge Engineering and Intelligent Interfaces Research Group
Academic department: Department of Informatics: Computing and Information Communication Technology (ICT)
Contact: Prof T L McCluskey
Email: t.l.mccluskey@hud.ac.uk
Tel: +44 1484 472247
How to apply http://www.hud.ac.uk/registry/research/enquiry.htm

A PhD student at the University of Huddersfield has become one of only 24 winners in the UK of the highly-prestigious Chinese Government Award for Outstanding Self-Financed Students Abroad...
Published: April 2009