Real-Time Multi-Sensor Multi-Source Network Data Fusion Using Dynamic Traffic Assignment Models
This paper presents a model-based data fusion framework that allows systematic fusing of multi-sensor multi-source traffic network data at real-time. Using simulation-based Dynamic Traffic Assignment (DTA) models, the framework seeks to minimize the inconsistencies between observed network data and...
Main Authors: | Wen, Yang, Antoniou, Constantinos, Lopes, Jorge Alves, Bento, Joao, Huang, Enyang, Ben-Akiva, Moshe E |
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Other Authors: | Massachusetts Institute of Technology. Center for Transportation & Logistics |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers
2010
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Subjects: | |
Online Access: | http://hdl.handle.net/1721.1/54705 https://orcid.org/0000-0003-0203-9542 |
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