Fuzzy urban traffic signal control - an overview

Malej, Alenka; Brodnik, Andrej

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Title:	Fuzzy urban traffic signal control - an overview
Authors:	ID Malej, Alenka (Author) ID Brodnik, Andrej (Author)
Files:	http://www.dlib.si/details/URN:NBN:SI:DOC-TLCKZXH8
Language:	English
Work type:	Not categorized
Typology:	1.01 - Original Scientific Article
Organization:	UPR - University of Primorska
Abstract:	Izboljšanje sistemov za upravljanje mestne prometne signalizacije je eden cenovno najučinkovitejših načinov za izboljšanje prometnega pretoka skozi mrežo semaforiziranih križišč. Pri razvoju novih sistemov se zadnja tri leta poleg tradicionalnih metod, ki temeljijo na uporabi modelov prometnega pretoka, čedalje več uporabljajo nove tehnologije, ki vključujejo uporabo umetne inteligence. Raziskave so pokazale učinkovitost metahevrističnih metod. Posebna mehka logika, tudi v kombinaciji z optimizacijskimi metodami, ponuja fleksibilnost, prilagodljivost, upravljanje pri netočnih ingormacijah in v konfliktnih situacijah. Naredili smo pregled raziskav s tega področja
Keywords:	prometna signalizacija, mehka logika, hibridni sistemi, porazdeljeno upravljanje, traffic signal control, hybrid systems, fuzzy logic, distributed control
Publisher:	Elektrotehniška zveza Slovenije
Year of publishing:	2007
Number of pages:	291-296
Numbering:	Vol. 74, no. 5
PID:	20.500.12556/RUP-5141
ISSN:	0013-5852
UDC:	004.8:656.021
COBISS.SI-ID:	14509401
Publication date in RUP:	10.07.2015
Views:	6664
Downloads:	54
Metadata:
:	MALEJ, Alenka and BRODNIK, Andrej, 2007, Fuzzy urban traffic signal control - an overview. [online]. 2007. Vol. 74, no. 5, p. 291–296. [Accessed 17 March 2025]. Retrieved from: http://www.dlib.si/details/URN:NBN:SI:DOC-TLCKZXH8 Copy citation

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Secondary language

Language:	English
Title:	Mehko upravljanje mestne prometne signalizacije - pregled
Abstract:	In the last years, there have been many attempts made to improve urban traffic signal contol systems as this is one of the most cost-effective ways to improve the traffic flow through a network intersections. Besides the traditional method for traffic signal control that are usually based on a traffic flow model, the development of new system started to consider the various emerging technologies including artifical intelligence. Application of metaheuristic methods has proven to be worth of being researched. One of them is particularly fuzzy logic when combined with methods for system optimization. It offers a greater degree of flexibility, adaptibility and above all the possibility of handling uncertain unformation and dealing with conflicting situations. We made an overview of the research that has been done so far in this area.

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