Scipediacontent: Scipediacontent moved page Draft Content 673945075 to Hossain et al 2007a

2021-01-25T11:18:52Z

Scipediacontent moved page Draft Content 673945075 to Hossain et al 2007a

Scipediacontent: Created page with " == Abstract == When non-recurrent road traffic congestion happens, the operator of the traffic control centre has to select the most appropriate traffic control measure or c..."

2021-01-25T11:18:48Z

Created page with " == Abstract == When non-recurrent road traffic congestion happens, the operator of the traffic control centre has to select the most appropriate traffic control measure or c..."

New page

== Abstract ==

When non-recurrent road traffic congestion happens, the operator of the traffic control centre has to select the most appropriate traffic control measure or combination of measures in a short time to manage the traffic network. This is a complex task, which requires expert knowledge, much experience and fast reaction. There are a large number of factors related to a traffic state as well as a large number of possible control measures that need to be considered during the decision making process. The identification of suitable control measures for a given non-recurrent traffic congestion can be tough even for experienced operators. Therefore, simulation models are used in many cases. However, simulating different traffic scenarios for a number of control measures in a complicated situation is very time-consuming. In this paper we propose an intelligent traffic control decision support system (ITC-DSS) to assist the human operator of the traffic control centre to manage online the current traffic state. The proposed system combines three soft-computing approaches, namely fuzzy logic, neural network, and genetic algorithm. These approaches form a fuzzy-neural network tool with self-organization algorithm for initializing the membership functions, a GA algorithm for identifying fuzzy rules, and the back-propagation neural network algorithm for fine tuning the system parameters. The proposed system has been tested for a case-study of a small section of the ring-road around Riyadh city. The results obtained for the case study are promising and show that the proposed approach can provide an effective support for online traffic control.

== Original document ==

The different versions of the original document can be found in:

* [https://bradscholars.brad.ac.uk/bitstream/10454/2554/1/dahal7-2.pdf https://bradscholars.brad.ac.uk/bitstream/10454/2554/1/dahal7-2.pdf]

* [http://link.springer.com/content/pdf/10.1007/978-3-540-71805-5_75.pdf http://link.springer.com/content/pdf/10.1007/978-3-540-71805-5_75.pdf],
: [http://dx.doi.org/10.1007/978-3-540-71805-5_75 http://dx.doi.org/10.1007/978-3-540-71805-5_75]

* [https://link.springer.com/chapter/10.1007/978-3-540-71805-5_75 https://link.springer.com/chapter/10.1007/978-3-540-71805-5_75],
: [https://www.scipedia.com/public/Dahal_2007a https://www.scipedia.com/public/Dahal_2007a],
: [https://dblp.uni-trier.de/db/conf/evoW/evoW2007.html#AlmejalliDH07 https://dblp.uni-trier.de/db/conf/evoW/evoW2007.html#AlmejalliDH07],
: [https://academic.microsoft.com/#/detail/1488078059 https://academic.microsoft.com/#/detail/1488078059]

← Older revision	Revision as of 11:18, 25 January 2021
(No difference)

Hossain et al 2007a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 673945075 to Hossain et al 2007a

Scipediacontent: Created page with " == Abstract == When non-recurrent road traffic congestion happens, the operator of the traffic control centre has to select the most appropriate traffic control measure or c..."