Title :
Research on Grid-based Short-term Traffic Flow Forecast Technology
Author :
Xinying, Wang ; Zhicai, Juan ; Xin, Liu ; Fang, Mei
Author_Institution :
Coll. of Comput. Sci. & Technol., Jilin Univ. Changchun, Changchun
Abstract :
Short-term traffic flow forecast is an important topic in the research field of intelligent transportation systems. The article analyses the preliminary results in the short-term traffic flow forecast, takes full advantage of the characteristics of grid technology, and builds a model based on chaos theory and neural network. It uses grid resource management mechanisms and migration strategies to solve issues of effectiveness, and proposes the algorithm of minimum price for Self-Governing Domain on the aspect of resource management to improve the efficiency and performance.
Keywords :
chaos; grid computing; neural nets; resource allocation; traffic information systems; chaos theory; grid resource management; intelligent transportation systems; neural network; short-term traffic flow forecast; Chaos; Economic forecasting; Educational institutions; Intelligent transportation systems; Mathematical model; Neural networks; Predictive models; Technology forecasting; Telecommunication traffic; Traffic control; MPSGD; Short-term traffic flow forecast; grid;
Conference_Titel :
Computer Engineering and Technology, 2009. ICCET '09. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3334-6
DOI :
10.1109/ICCET.2009.64
