PRIORITISATION OF TRAFFIC COUNT LOCATIONS FOR TRIP MATRIX ESTIMATION USING INFORMATION THEORY

Autor:	Kuncheria P. Isaac, Manju V. Saraswathy
Rok vydání:	2013
Předmět:	Binary integer programming Matrix estimation Transport engineering Matrix (mathematics) Mathematical optimization Traffic count business.product_category Computer science Volume (computing) Link (knot theory) business Information theory Selection (genetic algorithm)
Zdroj:	International Journal for Traffic and Transport Engineering. 3:112-126
ISSN:	2217-5652 2217-544X
DOI:	10.7708/ijtte.2013.3(2).02
Popis:	The foremost step in estimation of OD matrix from link volume counts is the systematic selection of optimum links. This paper suggests a methodology to prioritise the links in a road network using information theory. Weights are assigned to the links based on its information content and the optimum links which satisfies the OD covering rule is selected by Binary Integer Programming (BIP). The selected links are prioritised based on the assigned weights. The methodology is applied on a hypothetical network. The procedure is validated by calculating the error of the OD matrix estimated with the traffic volumes on the selected links as input. It is observed that the OD matrix estimated with links selected by information theory based approach provided the least error. It was also found that the method of prioritisation discussed here is suitable when there are budgetary constraints for selection of input links.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bf4a0c625e9dacc160aa94ba8d1299c9 https://doi.org/10.7708/ijtte.2013.3(2).02 Zobrazit plný text záznamu Plný text ve formátu PDF