DocumentCode :
176475
Title :
First-order contiguity constraint on Traffic Analysis Zone delineation problem
Author :
Wang Linqing ; Tang Jiafu
Author_Institution :
Syst. Eng. Inst., Northeastern Univ., Shenyang, China
fYear :
2014
fDate :
May 31 2014-June 2 2014
Firstpage :
3103
Lastpage :
3107
Abstract :
This paper presents a kind of constraint to ensure first-order contiguity of Traffic Analysis Zone delineation problem. Based on k-median facility location model, a 0-1 integer programming mathematical presentation of the problem, with objective of minimizing heterogeneity, is given. The proposed model is compared with other three ones in terms of model complexity and time consuming. The other three models have the characteristics of ensuring not only the first-order contiguity. It is concluded from the comparison that if zone number is smaller than certain value, the proposed model terminated without a feasible solution. Otherwise, the proposed model could obtain a satisfied solution within a reasonable time. An agglomerative hierarchical clustering based heuristic algorithm then is developed to deal with the non-solution situation. Finally, a case study shows the advantage of the proposed model for solving large scale problem.
Keywords :
computational complexity; facility location; integer programming; minimisation; pattern clustering; traffic; 0-1 integer programming mathematical presentation; agglomerative hierarchical clustering; first-order contiguity constraint; heterogeneity minimization; heuristic algorithm; k-median facility location model; large scale problem; model complexity; traffic analysis zone delineation problem; Clustering algorithms; Computational modeling; Educational institutions; Heuristic algorithms; Information science; Linear programming; Mathematical model; 0–1 integer programming; contiguity constraint; traffic analysis zone;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
Type :
conf
DOI :
10.1109/CCDC.2014.6852708
Filename :
6852708
Link To Document :
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