Dynamic Origin-Destination Matrix Estimation with ICT Traffic Measurements using SPSA

被引：1

作者：

Ros-Roca, Xavier ^{[1
]}

Montero, Lidia ^{[1
]}

Barcelo, Jaume ^{[1
]}

Noekel, Klaus ^{[2
]}

机构：

[1] Univ Politecn Catalunya UPC, Dept Stat & Operat Res, Barcelona, Spain

[2] PTV Grp, Karlsruhe, Germany

来源：

2021 7TH INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS (MT-ITS) | 2021年

关键词：

OD Estimation; Bilevel Optimization; Derivative Free Optimization; SPSA; ALGORITHMS;

D O I：

10.1109/MT-ITS49943.2021.9529327

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The estimation of Origin to Destination (OD) matrices is still object of continuous research interest, but the complexity of the problem, the underdetermination of the problem, the many alternatives that it offers and the role that mobility patterns represented by ODs play in transport modelling, makes it an appealing research topic, namely in the domain of dynamic approaches. The availability of new traffic measurements, due to the pervasive penetration of ICT measurements offers new paths to explore. This paper provides an insight of what can be achieved when, in addition to link flow counts, travel times, coming from treated GPS traces, are considered in the formulation of the Dynamic Origin-Destination Matrix Estimation (DODME). The analysis is conducted with an extension of conventional SPSA and a new hybrid formulation combining analytical and non-analytical formulations.

引用

页数：6

共 45 条

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