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1
A crash course in pandemic traffic
A crash course in pandemic traffic
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A crash course in pandemic traffic

Nature physics, 2022-05, Vol.18 (5), p.478-478 [Peer Reviewed Journal]

Springer Nature Limited 2022. ;ISSN: 1745-2473 ;EISSN: 1745-2481 ;DOI: 10.1038/s41567-022-01609-9

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2
Autonomous Vehicles: Disengagements, Accidents and Reaction Times
Autonomous Vehicles: Disengagements, Accidents and Reaction Times
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Autonomous Vehicles: Disengagements, Accidents and Reaction Times

PloS one, 2016-12, Vol.11 (12), p.e0168054-e0168054 [Peer Reviewed Journal]

COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 Dixit et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2016 Dixit et al 2016 Dixit et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0168054 ;PMID: 27997566

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3
A Comprehensive Survey of Driving Monitoring and Assistance Systems
A Comprehensive Survey of Driving Monitoring and Assistance Systems
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A Comprehensive Survey of Driving Monitoring and Assistance Systems

Sensors (Basel, Switzerland), 2019-06, Vol.19 (11), p.2574 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 by the authors. 2019 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s19112574 ;PMID: 31174275

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4
A Survey of Autonomous Vehicles: Enabling Communication Technologies and Challenges
A Survey of Autonomous Vehicles: Enabling Communication Technologies and Challenges
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A Survey of Autonomous Vehicles: Enabling Communication Technologies and Challenges

Sensors (Basel, Switzerland), 2021-01, Vol.21 (3), p.706 [Peer Reviewed Journal]

2021. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21030706 ;PMID: 33494191

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5
A Survey of Road Traffic Congestion Measures towards a Sustainable and Resilient Transportation System
A Survey of Road Traffic Congestion Measures towards a Sustainable and Resilient Transportation System
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A Survey of Road Traffic Congestion Measures towards a Sustainable and Resilient Transportation System

Sustainability (Basel, Switzerland), 2020-06, Vol.12 (11), p.4660 [Peer Reviewed Journal]

2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2071-1050 ;EISSN: 2071-1050 ;DOI: 10.3390/su12114660

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6
An AutoEncoder and LSTM-Based Traffic Flow Prediction Method
An AutoEncoder and LSTM-Based Traffic Flow Prediction Method
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An AutoEncoder and LSTM-Based Traffic Flow Prediction Method

Sensors (Basel, Switzerland), 2019-07, Vol.19 (13), p.2946 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 by the authors. 2019 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s19132946 ;PMID: 31277390

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7
Driver Distraction Identification with an Ensemble of Convolutional Neural Networks
Driver Distraction Identification with an Ensemble of Convolutional Neural Networks
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Driver Distraction Identification with an Ensemble of Convolutional Neural Networks

Journal of advanced transportation, 2019-01, Vol.2019, p.1-12 [Peer Reviewed Journal]

Copyright © 2019 Hesham M. Eraqi et al. ;Copyright © 2019 Hesham M. Eraqi et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0197-6729 ;EISSN: 2042-3195 ;DOI: 10.1155/2019/4125865

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8
Applications of Artificial Intelligence in Transport: An Overview
Applications of Artificial Intelligence in Transport: An Overview
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Applications of Artificial Intelligence in Transport: An Overview

Sustainability (Basel, Switzerland), 2019-01, Vol.11 (1), p.189 [Peer Reviewed Journal]

2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2071-1050 ;EISSN: 2071-1050 ;DOI: 10.3390/su11010189

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9
The Fundamental Law of Road Congestion: Evidence from US Cities
The Fundamental Law of Road Congestion: Evidence from US Cities
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The Fundamental Law of Road Congestion: Evidence from US Cities

The American economic review, 2011-10, Vol.101 (6), p.2616-2652 [Peer Reviewed Journal]

Copyright© 2011 American Economic Association ;Copyright American Economic Association Oct 2011 ;ISSN: 0002-8282 ;EISSN: 1944-7981 ;DOI: 10.1257/aer.101.6.2616 ;CODEN: AENRAA

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10
Unraveling reaction-diffusion-like dynamics in urban congestion propagation: Insights from a large-scale road network
Unraveling reaction-diffusion-like dynamics in urban congestion propagation: Insights from a large-scale road network
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Unraveling reaction-diffusion-like dynamics in urban congestion propagation: Insights from a large-scale road network

Scientific reports, 2020-03, Vol.10 (1), p.4876-4876, Article 4876 [Peer Reviewed Journal]

This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-020-61486-1 ;PMID: 32184458

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11
Subways, Strikes, and Slowdowns: The Impacts of Public Transit on Traffic Congestion
Subways, Strikes, and Slowdowns: The Impacts of Public Transit on Traffic Congestion
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Subways, Strikes, and Slowdowns: The Impacts of Public Transit on Traffic Congestion

The American economic review, 2014-09, Vol.104 (9), p.2763-2796 [Peer Reviewed Journal]

Copyright© 2014 American Economic Association ;Copyright American Economic Association Sep 2014 ;ISSN: 0002-8282 ;EISSN: 1944-7981 ;DOI: 10.1257/aer.104.9.2763 ;CODEN: AENRAA

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12
Secure Trust-Based Blockchain Architecture to Prevent Attacks in VANET
Secure Trust-Based Blockchain Architecture to Prevent Attacks in VANET
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Secure Trust-Based Blockchain Architecture to Prevent Attacks in VANET

Sensors (Basel, Switzerland), 2019-11, Vol.19 (22), p.4954 [Peer Reviewed Journal]

2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 by the authors. 2019 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s19224954 ;PMID: 31739437

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13
Research on highway traffic flow prediction model and decision-making method
Research on highway traffic flow prediction model and decision-making method
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Research on highway traffic flow prediction model and decision-making method

Scientific reports, 2022-11, Vol.12 (1), p.19919-19919, Article 19919 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2022 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-022-24469-y ;PMID: 36402893

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14
Iktishaf+: A Big Data Tool with Automatic Labeling for Road Traffic Social Sensing and Event Detection Using Distributed Machine Learning
Iktishaf+: A Big Data Tool with Automatic Labeling for Road Traffic Social Sensing and Event Detection Using Distributed Machine Learning
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Iktishaf+: A Big Data Tool with Automatic Labeling for Road Traffic Social Sensing and Event Detection Using Distributed Machine Learning

Sensors (Basel, Switzerland), 2021-04, Vol.21 (9), p.2993 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21092993 ;PMID: 33923247

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15
A Review on Autonomous Vehicles: Progress, Methods and Challenges
A Review on Autonomous Vehicles: Progress, Methods and Challenges
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A Review on Autonomous Vehicles: Progress, Methods and Challenges

Electronics (Basel), 2022-07, Vol.11 (14), p.2162 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics11142162

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16
A vision of our transport future
A vision of our transport future
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A vision of our transport future

Nature (London), 2013-05, Vol.497 (7448), p.181-182 [Peer Reviewed Journal]

COPYRIGHT 2013 Nature Publishing Group ;COPYRIGHT 2013 Nature Publishing Group ;Copyright Nature Publishing Group May 9, 2013 ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/497181a ;CODEN: NATUAS

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17
Short-term traffic flow prediction using seasonal ARIMA model with limited input data
Short-term traffic flow prediction using seasonal ARIMA model with limited input data
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Short-term traffic flow prediction using seasonal ARIMA model with limited input data

European transport research review, 2015-09, Vol.7 (3), p.1-9, Article 21 [Peer Reviewed Journal]

The Author(s) 2015 ;ISSN: 1867-0717 ;EISSN: 1866-8887 ;DOI: 10.1007/s12544-015-0170-8

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18
A Review on IEEE 802.11p for Intelligent Transportation Systems
A Review on IEEE 802.11p for Intelligent Transportation Systems
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A Review on IEEE 802.11p for Intelligent Transportation Systems

Journal of sensor and actuator networks, 2020-06, Vol.9 (2), p.22 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2224-2708 ;EISSN: 2224-2708 ;DOI: 10.3390/jsan9020022

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19
Urbanization: a problem for the rich and the poor?
Urbanization: a problem for the rich and the poor?
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Urbanization: a problem for the rich and the poor?

Public health reviews, 2020-01, Vol.41 (1), p.1-1, Article 1 [Peer Reviewed Journal]

The Author(s). 2019. ;2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s). 2019 ;ISSN: 0301-0422 ;ISSN: 2107-6952 ;EISSN: 2107-6952 ;DOI: 10.1186/s40985-019-0116-0 ;PMID: 31908901

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20
Deep Autoencoder Neural Networks for Short-Term Traffic Congestion Prediction of Transportation Networks
Deep Autoencoder Neural Networks for Short-Term Traffic Congestion Prediction of Transportation Networks
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Deep Autoencoder Neural Networks for Short-Term Traffic Congestion Prediction of Transportation Networks

Sensors (Basel, Switzerland), 2019-05, Vol.19 (10), p.2229 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 by the authors. 2019 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s19102229 ;PMID: 31091802

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