Fuzzy sets and systems for a motorway microscopic simulation model
Fuzzy sets and systems for a motorway microscopic simulation model
Microscopic simulation modelling has recently become attractive to researchers in traffic engineering as it appears to offer a cost effective and ‘safe’ way of investigating intelligent vehicle-highway system (IVHS) at a fundamental level. However, the deterministic approach used assumes a consistency of behaviour which may severely detract from model validity. This may be overcome by using a ‘fuzzy’ approach to describe drivers’ decisions. This paper describes the development of the fuzzy logic motorway simulation model (FLOWSIM). Emphasis is placed on the research undertaken to establish fuzzy sets and systems for motorway driving behaviour models, the collection of data on appropriate motorway driving behaviour, fuzzy sets and systems calibration, and model validation. Model validation results have shown that the fuzzy model (FLOWSIM) can closely replicate real systems and in test cases have performed better than some common deterministic models such as the ‘GHR’, ‘Gipps’ and ‘MISSION’ models.
engineering, transportation, modelling
65-76
Wu, Jianping
5a0119e5-a760-4ff5-90b9-ec69926ce501
Brackstone, Mark
fcd0fb46-0f58-4f73-b4a3-774091b70cb0
McDonald, Mike
cd5b31ba-276b-41a5-879c-82bf6014db9f
16 November 2000
Wu, Jianping
5a0119e5-a760-4ff5-90b9-ec69926ce501
Brackstone, Mark
fcd0fb46-0f58-4f73-b4a3-774091b70cb0
McDonald, Mike
cd5b31ba-276b-41a5-879c-82bf6014db9f
Wu, Jianping, Brackstone, Mark and McDonald, Mike
(2000)
Fuzzy sets and systems for a motorway microscopic simulation model.
Fuzzy Sets and Systems, 116 (1), .
(doi:10.1016/S0165-0114(99)00038-X).
Abstract
Microscopic simulation modelling has recently become attractive to researchers in traffic engineering as it appears to offer a cost effective and ‘safe’ way of investigating intelligent vehicle-highway system (IVHS) at a fundamental level. However, the deterministic approach used assumes a consistency of behaviour which may severely detract from model validity. This may be overcome by using a ‘fuzzy’ approach to describe drivers’ decisions. This paper describes the development of the fuzzy logic motorway simulation model (FLOWSIM). Emphasis is placed on the research undertaken to establish fuzzy sets and systems for motorway driving behaviour models, the collection of data on appropriate motorway driving behaviour, fuzzy sets and systems calibration, and model validation. Model validation results have shown that the fuzzy model (FLOWSIM) can closely replicate real systems and in test cases have performed better than some common deterministic models such as the ‘GHR’, ‘Gipps’ and ‘MISSION’ models.
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Published date: 16 November 2000
Keywords:
engineering, transportation, modelling
Organisations:
Civil Engineering & the Environment
Identifiers
Local EPrints ID: 74076
URI: http://eprints.soton.ac.uk/id/eprint/74076
ISSN: 0165-0114
PURE UUID: 5015f90c-6fed-4e62-bb95-7046669df3cd
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Date deposited: 11 Mar 2010
Last modified: 13 Mar 2024 22:26
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Contributors
Author:
Jianping Wu
Author:
Mark Brackstone
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