A metamodel simulation-based optimization approach for the efficient calibration of stochastic traffic simulators

被引：4

作者：

Osorio, Carolina ^{[1
]}

Flotterod, Gunnar ^{[2
]}

Zhang, Chao ^{[1
]}

机构：

[1] MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[2] KTH Royal Inst Technol, Dept Transport Sci, S-11428 Stockholm, Sweden

来源：

4TH INTERNATIONAL SYMPOSIUM OF TRANSPORT SIMULATION (ISTS'14) SELECTED PROCEEDINGS | 2015年 / 6卷

基金：

美国国家科学基金会;

关键词：

calibration; stochastic microscopic simulation; simulation-based optimization; ORIGIN-DESTINATION MATRICES; FRAMEWORK; MODEL;

D O I：

10.1016/j.trpro.2015.03.017

中图分类号：

U [交通运输];

学科分类号：

08 ; 0823 ;

摘要：

This work considers the calibration of stochastic microscopic traffic simulators. It formulates the calibration problem as a simulation-based optimization (SO) problem, and uses metamodel SO ideas. The main idea is to embed within the calibration algorithm an analytical problem-specific description of how the calibration parameters are related to the simulation-based objective function. Preliminary results on a toy network are presented. Ongoing work applies these ideas to the calibration of a Berlin metropolitan area network. (C) 2015 The Authors. Published by Elsevier B.V.

引用

页码：213 / 223

页数：11

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