IEEE Intelligent Transportation Systems Magazine
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1159

(FIVE YEARS 289)

H-INDEX

(FIVE YEARS 5)

Published By Institute Of Electrical And Electronics Engineers

1941-1197, 1939-1390

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A Spatiotemporal Neural Network Model for Estimated-Time-of-Arrival Prediction of Flights in a Terminal Maneuvering Area

IEEE Intelligent Transportation Systems Magazine ◽

10.1109/mits.2021.3132766 ◽

2022 ◽

pp. 2-15

Author(s):

Yan Ma ◽

Wenbo Du ◽

Jun Chen ◽

Yu Zhang ◽

Yisheng Lv ◽

...

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Time Of Arrival

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A Context- and Trajectory-Based Destination Prediction of Public Transportation Users

IEEE Intelligent Transportation Systems Magazine ◽

10.1109/mits.2021.3132772 ◽

2022 ◽

pp. 2-19

Author(s):

Malte Bieler ◽

Raghava Rao Mukkamala ◽

Tor-Morten Gronli

Keyword(s):

Public Transportation

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[Calendar]

IEEE Intelligent Transportation Systems Magazine ◽

10.1109/mits.2021.3124595 ◽

2022 ◽

Vol 14 (1) ◽

pp. 256-256

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The Role of Digital Twins in Connected and Automated Vehicles

IEEE Intelligent Transportation Systems Magazine ◽

10.1109/mits.2021.3129524 ◽

2022 ◽

pp. 2-11

Author(s):

Chris Schwarz ◽

Ziran Wang

Keyword(s):

Automated Vehicles ◽

Digital Twins

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IEEE Intelligent Transportation Systems Magazine ◽

10.1109/mits.2021.3124589 ◽

2022 ◽

Vol 14 (1) ◽

pp. 1-2

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Masthead

IEEE Intelligent Transportation Systems Magazine ◽

10.1109/mits.2021.3124590 ◽

2022 ◽

Vol 14 (1) ◽

pp. 3-4

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Finding Similar Historical Scenarios for Better Understanding Aircraft Taxi Time: A Deep Metric Learning Approach

IEEE Intelligent Transportation Systems Magazine ◽

10.1109/mits.2021.3136329 ◽

2022 ◽

pp. 2-17

Author(s):

Jinghan Du ◽

Minghua Hu ◽

Weining Zhang ◽

Jianan Yin

Keyword(s):

Metric Learning ◽

Learning Approach ◽

Deep Metric Learning

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Call for ITSM Outstanding Paper Award Nominations

IEEE Intelligent Transportation Systems Magazine ◽

10.1109/mits.2021.3129546 ◽

2022 ◽

Vol 14 (1) ◽

pp. C2-C2

Keyword(s):

Paper Award

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Front Cover

IEEE Intelligent Transportation Systems Magazine ◽

10.1109/mits.2021.3124566 ◽

2022 ◽

Vol 14 (1) ◽

pp. C1-C1

Keyword(s):

Front Cover

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A Railway Turnout Closeness State Monitoring Method Based on the Switch Gap Images

IEEE Intelligent Transportation Systems Magazine ◽

10.1109/mits.2021.3053036 ◽

2021 ◽

pp. 0-0

Author(s):

Chao Li ◽

Zhao Linhai

Keyword(s):

State Monitoring ◽

Monitoring Method ◽

Railway Turnout

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IEEE Intelligent Transportation Systems Magazine
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Institute Of Electrical And Electronics Engineers

A Spatiotemporal Neural Network Model for Estimated-Time-of-Arrival Prediction of Flights in a Terminal Maneuvering Area

A Context- and Trajectory-Based Destination Prediction of Public Transportation Users

[Calendar]

The Role of Digital Twins in Connected and Automated Vehicles

Table of Contents

Masthead

Finding Similar Historical Scenarios for Better Understanding Aircraft Taxi Time: A Deep Metric Learning Approach

Call for ITSM Outstanding Paper Award Nominations

Front Cover

A Railway Turnout Closeness State Monitoring Method Based on the Switch Gap Images

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IEEE Intelligent Transportation Systems MagazineLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Institute Of Electrical And Electronics Engineers

A Spatiotemporal Neural Network Model for Estimated-Time-of-Arrival Prediction of Flights in a Terminal Maneuvering Area

A Context- and Trajectory-Based Destination Prediction of Public Transportation Users

[Calendar]

The Role of Digital Twins in Connected and Automated Vehicles

Table of Contents

Masthead

Finding Similar Historical Scenarios for Better Understanding Aircraft Taxi Time: A Deep Metric Learning Approach

Call for ITSM Outstanding Paper Award Nominations

Front Cover

A Railway Turnout Closeness State Monitoring Method Based on the Switch Gap Images

IEEE Intelligent Transportation Systems Magazine
Latest Publications