ESTIMATING ORIGIN-DESTINATION MATRICES USING AN EFFICIENT MOTH FLAME-BASED SPATIAL CLUSTERING APPROACH

A robust Model for estimating Freeway Dynamic Origin-Destination matrices

Title of Dissertation: A ROBUST MODEL FOR ESTIMATING FREEWAY DYNAMIC ORIGIN-DESTINATION MATRICES Pei-Wei Lin, Doctor of Philosophy, 2006 Dissertation directed by: Professor Gang-Len Chang Department of Civil and Environmental Engineering The purpose of this study is to develop an effective model and algorithm for estimating dynamic Origin-Destination demands for freeways. The primary challenge ...

A Relaxation Approach for Estimating Origin–Destination Trip Tables

The problem of estimating origin-destination travel demands from partial observations of traffic conditions has often been formulated as a network design problem (NDP) with a bi-level structure. The upper level problem in such a formulation minimizes a distance metric between measured and estimated traffic conditions, and the lower level enforces user-equilibrium traffic conditions in the netwo...

Development of origin–destination matrices using mobile phone call data

43 In this research, we propose a methodology to develop OD matrices using mobile phone Call 44 Detail Records (CDR), which consist of time stamped tower locations with caller IDs, and 45 limited traffic counts. CDR from 2.87 million users from Dhaka, Bangladesh over a month and 46 traffic counts from 13 key locations of the city over 3 days of the same period are used in this 47 regard. The in...

Combinatorial problems related to origin-destination matrices

Efficient Join-Index-Based Spatial-Join Processing: A Clustering Approach

A join-index is a data structure used for processing join queries in databases. Join-indices use precomputation techniques to speed up online query processing and are useful for data sets which are updated infrequently. The I/O cost of join computation using a join-index with limited buffer space depends primarily on the page-access sequence used to fetch the pages of the base relations. Given ...