ADL based Framework For Multimodal Data Fusion in Traffic Jam prediction-Reference-Cited by-同舟云学术

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ADL based Framework For Multimodal Data Fusion in Traffic Jam prediction

Published:2022-12-02 Issue: Volume: Page:
ISSN:
Container-title:2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)
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Author:

Godhbani Salah¹,Elkosantini Sabeur²,Suh Wonho³,Lee Seongkwan M.⁴

Affiliation:

1. ISG-University of Tunis,SMART LAB,Tunis,Tunisia

2. University of Carthage,Faculty of Economics and Management,Nabeul,Tunisia

3. Hanyang University, ERICA Campus,Seoul,South Korea

4. Colleage of Engineering, United Arab Emirates University,United Arab Emirates

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10029388/10029397/10029488.pdf?arnumber=10029488

Reference40 articles.

1. Localization in vehicular ad hoc networks using data fusion and V2V communication

2. Twitter interactions as a data source for transportation incidents;mai;Transportation Research Board Annu Meeting,2013

3. Vehicle localization in VANETs using data fusion and V2V communication

4. Mining GPS data for traffic congestion detection and prediction;kaklij;Int J Sci Res,2015

5. Virtual 3D city model as a priori information source for vehicle localization system, Transp;dawood;Res C,2016

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