Fuzzy and multi-resolution data processing for advanced traffic and travel information

Agafonov, E., 2003. Fuzzy and multi-resolution data processing for advanced traffic and travel information. PhD, Nottingham Trent University.

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Abstract

Solutions to transportation problems have been extensively studied and developed over the last few decades. Although a significant progress has been made, a constant growth of the number of cars on roads cause new problems which cannot be dealt with by just controlling traffic signals. This implies that alternative ways of managing and controlling traffic need to be developed. A promising solution is to utilise combined information on current traffic and public transport situation and to employ multi-modal traffic optimisation. This solution requires the availability of very accurate real-time information, Information on travel time across an urban road network is one of the most important operational characteristics of the traffic system. It has been shown that existing algorithms for travel time estimation do not provide satisfactory accuracy and possess several disadvantages that render them inapplicable for estimation of travel time in volatile urban traffic. In this research, a problem of accurate travel time estimation is addressed and a novel low-level data processing methodology is presented.

Applications developed in the theoretical framework of real-time traffic systems require a suitable software environment. Many software packages have been developed to date for data processing, analysis and modelling. Unfortunately, most of them are either too general and are computationally burdensome, or are too specific and cannot be applied to solving a problem from a very specialised domain. As Transportation Research is a relatively small niche, the software development was traditionally accomplished on the project-to-project basis and, as a consequence, much time was spent on re-writing software for specific needs of a particular project. In this research, a general framework for processing traffic/travel data has been developed and its functionality has been demonstrated on a specific traffic/transportation problem.

Item Type:	Thesis
Creators:	Agafonov, E.
Date:	2003
ISBN:	9781369325935
Identifiers:	Number Type PQ10290344 Other
Rights:	The copy of this report has been supplied on the understanding that it is copyright material, and that no quotation from the report may be published without proper acknowledgement. This work described in this Report is the Author’s own, unless otherwise stated, and it is, as far as he is aware, original.
Divisions:	Schools > School of Science and Technology
Record created by:	Laura Ward
Date Added:	12 Jul 2021 14:54
Last Modified:	24 Jul 2024 14:08
URI:	https://irep.ntu.ac.uk/id/eprint/43416

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