Artificial immune K-means grid-density clustering algorithm for real-time monitoring and analysis of urban traffic

A novel clustering algorithm is presented for monitoring and analysing traffic conditions in real-time and automatically. The existing methods concentrate on analysis of traffic flow based on historical information, and they cannot provide timely analysis of traffic conditions. Regarding the vehicle...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Electronics letters Ročník 49; číslo 20; s. 1272 - 1273
Hlavní autori:	Chen, Chuan Ming, Pi, Dechang, Fang, Zhuoran
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Stevenage The Institution of Engineering and Technology 26.09.2013 Institution of Engineering and Technology
Predmet:	Applied sciences artificial immune k means grid density clustering algorithm artificial immune network artificial immune systems Artificial intelligence Computer science; control theory; systems Data processing. List processing. Character string processing Exact sciences and technology Ground, air and sea transportation, marine construction history information Information and communications Memory organisation. Data processing monitoring pattern clustering real time monitoring Road transportation and traffic Software stability timely analysis traffic engineering computing traffic flow urban traffic conditions vehicles data artificial immune network traffic flow urban traffic conditions traffic engineering computing monitoring real time monitoring artificial immune systems timely analysis pattern clustering history information artificial immune k means grid density clustering algorithm vehicles data stability Cluster analysis Data analysis Density measurement Stability Urban traffic Cluster K means algorithm History Real time Experimental result Traffic flow Efficiency Traffic management Time analysis Monitoring Immune system
ISSN:	0013-5194, 1350-911X, 1350-911X
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!