Real-Time Multi-Sensor Multi-Source Network Data Fusion Using Dynamic Traffic Assignment Models

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...

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Manylion Llyfryddiaeth
Prif Awduron: Wen, Yang, Antoniou, Constantinos, Lopes, Jorge Alves, Bento, Joao, Huang, Enyang, Ben-Akiva, Moshe E
Awduron Eraill: Massachusetts Institute of Technology. Center for Transportation & Logistics
Fformat: Erthygl
Iaith:en_US
Cyhoeddwyd: Institute of Electrical and Electronics Engineers 2010
Pynciau:
travel information and guidance
traffic state analysis and prediction
simulation and modeling
Multi-Sensor Fusion
Mynediad Ar-lein:http://hdl.handle.net/1721.1/54705
https://orcid.org/0000-0003-0203-9542

Rhyngrwyd

http://hdl.handle.net/1721.1/54705
https://orcid.org/0000-0003-0203-9542

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