The Elevator Trip Origin-Destination Matrix Estimation Problem
نویسندگان
چکیده
منابع مشابه
The Elevator Trip Origin-Destination Matrix Estimation Problem
We present a constraint programming formulation for the elevator trip origin-destination matrix estimation problem, and propose different approaches to solve the problem. An elevator trip consists of successive stops in one direction of travel with passengers inside the elevator. It can be defined as a directed network, where the nodes correspond to the stops on the trip, and the arcs to the po...
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We present a constraint programming formulation for the elevator trip origin-destination matrix estimation problem using a lexicographic bi-criteria optimization method where least squares minimization is applied to the measured counts and the minimum information or the maximum entropy approach to the whole matrix. An elevator trip consists of successive stops in one direction of travel with pa...
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We present a constraint programming formulation for the elevator trip origin-destination matrix estimation problem, and study different deterministic and randomized algorithms to solve the problem. An elevator trip consists of successive stops in one direction of travel with passengers inside the elevator. It can be defined as a directed network, where the nodes correspond to the stops on the t...
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For most kind of analyses in the field of traffic planning, there is a need for origin– destination (OD) matrices, which specify the travel demands between the origin and destination nodes in the network. This thesis concerns the OD-matrix estimation problem, that is, the calculation of OD-matrices using observed link flows. Both time-independent and time-dependent models are considered, and we...
متن کاملCompressive Origin-Destination Matrix Estimation
The paper presents an approach to estimate OriginDestination (OD) flows and their path splits, based on traffic counts on links in the network. The approach called Compressive Origin-Destination Estimation (CODE) is inspired by Compressive Sensing (CS) techniques. Even though the estimation problem is underdetermined, CODE recovers the unknown variables exactly when the number of alternative pa...
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ژورنال
عنوان ژورنال: Transportation Science
سال: 2015
ISSN: 0041-1655,1526-5447
DOI: 10.1287/trsc.2013.0509