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subject: Technology

subject: Traffic Congestion

Result Number	Material Type	Record Details and Options
1	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
2	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Article	Safety of Autonomous Vehicles Journal of advanced transportation, 2020-10, Vol.2020, p.1-13 [Peer Reviewed Journal] Copyright © 2020 Jun Wang et al. ;COPYRIGHT 2020 Hindawi Limited ;Copyright © 2020 Jun Wang 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: 10.1155/2020/8867757 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Article	A hybrid CEEMD-GMM scheme for enhancing the detection of traffic flow on highways Soft computing (Berlin, Germany), 2023-11, Vol.27 (21), p.16373-16388 [Peer Reviewed Journal] Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 1432-7643 ;EISSN: 1433-7479 ;DOI: 10.1007/s00500-023-09164-y Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
12	Material Type: Article	Smarter Traffic Prediction Using Big Data, In-Memory Computing, Deep Learning and GPUs Sensors (Basel, Switzerland), 2019-05, Vol.19 (9), p.2206 [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/s19092206 ;PMID: 31086055 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	Estimation of the Energy Consumption of Battery Electric Buses for Public Transport Networks Using Real-World Data and Deep Learning Energies (Basel), 2020-05, Vol.13 (9), p.2340 [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: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en13092340 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Article	A New Hybrid Deep Learning Algorithm for Prediction of Wide Traffic Congestion in Smart Cities Wireless communications and mobile computing, 2021-05, Vol.2021, p.1-13 [Peer Reviewed Journal] Copyright © 2021 G. Kothai et al. ;Copyright © 2021 G. Kothai 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: 1530-8669 ;EISSN: 1530-8677 ;DOI: 10.1155/2021/5583874 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
15	Material Type: Article	Collaborative Autonomous Driving—A Survey of Solution Approaches and Future Challenges Sensors (Basel, Switzerland), 2021-05, Vol.21 (11), p.3783 [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/s21113783 ;PMID: 34072603 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
16	Material Type: Article	Design and Implementation of a Smart Traffic Signal Control System for Smart City Applications Sensors (Basel, Switzerland), 2020-01, Vol.20 (2), p.508 [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. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20020508 ;PMID: 31963229 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	Ubiquitous Vehicular Ad-Hoc Network Computing Using Deep Neural Network with IoT-Based Bat Agents for Traffic Management Electronics (Basel), 2021-04, Vol.10 (7), p.785 [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 (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: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics10070785 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	Material Type: Article	A Center-Based Secure and Stable Clustering Algorithm for VANETs on Highways Wireless communications and mobile computing, 2019-01, Vol.2019, p.1-10 [Peer Reviewed Journal] Copyright © 2019 Xiaolu Cheng and Baohua Huang. ;Copyright © 2019 Xiaolu Cheng and Baohua Huang. 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: 1530-8669 ;EISSN: 1530-8677 ;DOI: 10.1155/2019/8415234 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	Exact Routing in Large Road Networks Using Contraction Hierarchies Transportation science, 2012-08, Vol.46 (3), p.388-404 [Peer Reviewed Journal] Copyright © 2012 Institute for Operations Research and the Management Sciences ;2014 INIST-CNRS ;COPYRIGHT 2012 Institute for Operations Research and the Management Sciences ;Copyright Institute for Operations Research and the Management Sciences Aug 2012 ;ISSN: 0041-1655 ;EISSN: 1526-5447 ;DOI: 10.1287/trsc.1110.0401 ;CODEN: TRSCBJ Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
20	Material Type: Article	General-Logistic-Based Speed-Density Relationship Model Incorporating the Effect of Heavy Vehicles Mathematical problems in engineering, 2019-01, Vol.2019, p.1-10 [Peer Reviewed Journal] Copyright © 2019 Xingliang Liu et al. ;Copyright © 2019 Xingliang Liu et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;ISSN: 1024-123X ;EISSN: 1563-5147 ;DOI: 10.1155/2019/6039846 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by