%0 Journal Article %1 IJACSA.2012.030403 %A He, Shulin %D 2012 %J International Journal of Advanced Computer Science and Applications(IJACSA) %K congestion congestion; control degree entropy; extension information model; of road simulation; system. traffic %N 4 %T Analysis Method of Traffic Congestion Degree Based on Spatio-Temporal Simulation %U http://ijacsa.thesai.org/ %V 3 %X The purpose of this research is to design and implement a road traffic congestion and traffic patterns simulation (TPS) model and integrate it with extension-information model (EIM). The problems of road traffic simulation and control are studied according to the method of extension information model, and from the spatio-temporal analysis point of view. The rules of the traffic simulation from existence to evolution are analyzed using theories. Based on this study, the concept of traffic system entropy is introduced, and resulted in the establishment of a fundamental frame work for the road traffic simulation system based on extension spatio-temporal information system. Moreover, a practicable methodology is presented.

@article{IJACSA.2012.030403, abstract = {The purpose of this research is to design and implement a road traffic congestion and traffic patterns simulation (TPS) model and integrate it with extension-information model (EIM). The problems of road traffic simulation and control are studied according to the method of extension information model, and from the spatio-temporal analysis point of view. The rules of the traffic simulation from existence to evolution are analyzed using theories. Based on this study, the concept of traffic system entropy is introduced, and resulted in the establishment of a fundamental frame work for the road traffic simulation system based on extension spatio-temporal information system. Moreover, a practicable methodology is presented. }, added-at = {2014-02-21T08:00:08.000+0100}, author = {He, Shulin}, biburl = {https://www.bibsonomy.org/bibtex/2986fa22b87f42c81fba509f0c13e1748/thesaiorg}, interhash = {644e672425edfb9126ac1e6ec270e61e}, intrahash = {986fa22b87f42c81fba509f0c13e1748}, journal = {International Journal of Advanced Computer Science and Applications(IJACSA)}, keywords = {congestion congestion; control degree entropy; extension information model; of road simulation; system. traffic}, number = 4, timestamp = {2014-02-21T08:00:08.000+0100}, title = {{Analysis Method of Traffic Congestion Degree Based on Spatio-Temporal Simulation}}, url = {http://ijacsa.thesai.org/}, volume = 3, year = 2012 }