DocumentCode
427637
Title
A labeling link intensity algorithm in OD trip spatial distribution model
Author
Zhang, Jin ; Liu, Kaiyuan
Author_Institution
Coll. of Traffic & Transp., Southwest Jiaotong Univ., Sichuan, China
fYear
2004
fDate
3-6 Oct. 2004
Firstpage
222
Lastpage
226
Abstract
It has important significance to exactly forecast trip spatial distribution for transportation management and control. Based on summing up the study in respect of traffic resistance in the gravity model, after the analysis of the relative factors of the resistance, the synthetical generalized cost is presented as the traffic resistance. Then the intensity of link within a zone is defined, as well as the method of judging the intensity progression is presented. According to these, the model and the algorithm of generalize cost, which correlating the zone intensity progression is set up. Applying generalization cost as the traffic resistance to the bi-restriction gravity model makes the trip distribution can reflect fully society, economy and land utilization among zone, which can increase the computing accuracy and speed in forecasting trip spatial distribution.
Keywords
forecasting theory; road traffic; transportation; bi-restriction gravity model; forecasting theory; labeling link intensity algorithm; origin-destination trip spatial distribution model; synthetical generalized cost; traffic resistance; transportation control; transportation management; zone intensity progression; Communication system traffic control; Costs; Demand forecasting; Gravity; Immune system; Labeling; Predictive models; Road transportation; Road vehicles; Vehicle safety;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems, 2004. Proceedings. The 7th International IEEE Conference on
Print_ISBN
0-7803-8500-4
Type
conf
DOI
10.1109/ITSC.2004.1398901
Filename
1398901
Link To Document