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...

Full description

Bibliographic Details
Main Authors: Wen, Yang, Antoniou, Constantinos, Lopes, Jorge Alves, Bento, Joao, Huang, Enyang, Ben-Akiva, Moshe E
Other Authors: Massachusetts Institute of Technology. Center for Transportation & Logistics
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2010
Subjects:
travel information and guidance
traffic state analysis and prediction
simulation and modeling
Multi-Sensor Fusion
Online Access:http://hdl.handle.net/1721.1/54705
https://orcid.org/0000-0003-0203-9542

Internet

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

Similar Items