Calibration and validation of large-scale traffic simulation networks: a case study

被引：11

作者：

Bartin, Bekir ^{[1
]}

Ozbay, Kaan ^{[2
]}

Gao, Jingqin ^{[2
]}

Kurkcu, Abdullah ^{[2
]}

机构：

[1] Altinbas Univ, Civl Engn Dept, Mahmutbey Dilmenler Cad 26, Istanbul, Turkey

[2] NYU, Tandon Sch Engn, Civil & Urban Engg Dept, 15 Metrotech Ctr 6th Floor, Brooklyn, NY USA

来源：

9TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2018) / THE 8TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2018) / AFFILIATED WORKSHOPS | 2018年 / 130卷

关键词：

Large-scale Models; microscopic traffic simulation; calibration and validation; MICROSCOPIC SIMULATION; MODEL;

D O I：

10.1016/j.procs.2018.04.076

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The availability, accuracy and relevance of real world input data are essential for developing a reliable traffic simulation model. Large-scale traffic simulation models, in particular, require data from many sources and in great detail. Though it is now possible to obtain detailed field data with the advent of new technologies such as GPS, cellular phones, RFIDs, it is still a challenge to gather all available data, especially traffic flow data, in the required spatial and temporal accuracy. The central theme of this paper is the calibration and validation (C&V) development of a large-scale traffic simulation model using data from multiple sources. (C) 2018 The Authors. Published by Elsevier B.V.

引用

页码：844 / 849

页数：6

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