Artificial Intelligence Applications in Road Traffic Forecasting: A Review of Current Research

Conference paper

Khairi, S., Sharif, S., Apeagyei, A. and Abbas, A. 2023. Artificial Intelligence Applications in Road Traffic Forecasting: A Review of Current Research. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391677
AuthorsKhairi, S., Sharif, S., Apeagyei, A. and Abbas, A.
TypeConference paper
Abstract

Artificial intelligence (AI) is revolutionising global businesses and permanently changing industries forever; it has become an integral part of our daily lives, and the potential of this technology goes beyond home or personal use, as artificial intelligence continues to make great traction in transforming the future of humanity. The use of AI in traffic forecasting in particular and transportation planning in general, has gained attention in recent years due to its flexibility and ability to solve complex problems. However, research has shown that there is a gap in AI applications for longer terms forecasts, as most research focuses on real-time data analysis or within shorty or very short term where the vehicles are already presented within the road network. This research paper reviews the current state of AI applications in traffic forecasting, highlighting the challenges and opportunities.

Year2023
Conference3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies
PublisherIEEE
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Anyone
Publication dates
Online19 Jan 2024
Publication process dates
Accepted14 Sep 2023
Deposited25 Sep 2023
Journal citationpp. 38-43
ISSN2770-7466
2770-7458
Book titleProceedings: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT 2023)
ISBN9798350307788
9798350307771
Digital Object Identifier (DOI)https://doi.org/10.1109/3ICT60104.2023.10391677
Web address (URL) of conference proceedingshttps://ieeexplore.ieee.org/xpl/conhome/10391285/proceeding
Copyright holder© 2023, IEEE
Copyright informationPersonal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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An Accurate Ensemble Classifier for Medical Volume Analysis: Phantom and Clinical PET Study
Sharif, S., Abbod, M., Al-Bayatti, A., Amira, A., Alfakeeh, A. and Sanghera, B. 2020. An Accurate Ensemble Classifier for Medical Volume Analysis: Phantom and Clinical PET Study. IEEE Access. 8, pp. 37482-37494. https://doi.org/10.1109/ACCESS.2020.2975135
Variance Ranking for Multi-Classed Imbalanced Datasets: A Case Study of One-Versus-All
Ebenuwa, S., Sharif, S., Al-Nemrat, A., Al-Bayatti, A. H., Alalwan, N., Alzahrani, A. I. and Alfarraj, O. 2019. Variance Ranking for Multi-Classed Imbalanced Datasets: A Case Study of One-Versus-All. Symmetry. 11 (Art. 1504). https://doi.org/10.3390/sym11121504
Policy-Based Security Management System for 5G Heterogeneous Networks
Alquhayz, H., Alalwan, N., Alzahrani, A. I., Al-Bayatti, A. H. and Sharif, S. 2019. Policy-Based Security Management System for 5G Heterogeneous Networks. Wireless Communications and Mobile Computing. 2019 (Art. 4582391). https://doi.org/10.1155/2019/4582391
A Framework for Augmented Reality Based Shared Experiences
Ali, A., Glackin, C., Cannings, N., Wall, J., Sharif, S. and Moniri, M. 2019. A Framework for Augmented Reality Based Shared Experiences. Immersive Learning Research Network - iLRN. London, UK 23 - 27 Jun 2019 Technischen Universität Graz. https://doi.org/10.3217/978-3-85125-657-4-24
A Deep Learning Based Suggested Model to Detect Necrotising Enterocolitis in Abdominal Radiography Images
Van Druten, J., Sharif, S., Chan, S. S., Chong, C. and Abdalla, H. 2019. A Deep Learning Based Suggested Model to Detect Necrotising Enterocolitis in Abdominal Radiography Images. IEEE International Conference on Computing, Electronics & Communications Engineering 2019 (IEEE iCCECE '19) . London Metropolitan University, London, UK 22 - 23 Aug 2019 IEEE. https://doi.org/10.1109/iCCECE46942.2019.8941615
Context-Aware Driver Distraction Severity Classification using LSTM Network
Fasanmade, A., Aliyu, S., He, Y., Al-Bayatti, A. H., Sharif, S. and Alfakeeh, A. S. 2019. Context-Aware Driver Distraction Severity Classification using LSTM Network. IEEE International Conference on Computing, Electronics & Communications Engineering 2019 (IEEE iCCECE '19) . London Metropolitan University, London, UK 22 - 23 Aug 2019 IEEE. pp. 147-152 https://doi.org/10.1109/iCCECE46942.2019.8941966
Predicting the Standard and Deviant Patterns In EEG Signals Based On Deep Learning Model
Sharif, S., Al-Bayatti, A. H. and Alfakeeh, A. S. 2019. Predicting the Standard and Deviant Patterns In EEG Signals Based On Deep Learning Model. IEEE International Conference on Computing, Electronics & Communications Engineering 2019 (IEEE iCCECE '19) . London Metropolitan University, London, UK 22 - 23 Aug 2019 IEEE. https://doi.org/10.1109/iCCECE46942.2019.8941730
Ductility of Steel-Fibre-Reinforced Recycled Lightweight Concrete
Al-Naimi, H. and Abbas, A. 2019. Ductility of Steel-Fibre-Reinforced Recycled Lightweight Concrete. COMPDYN 2019: 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering. Crete, Greece. 24 - 26 Jun 2019 Institute of Structural Analysis and Antiseismic Research. pp. 4009-4023 https://doi.org/10.7712/120119.7203.19035
Effect of PET Image Reconstruction Techniques on Unexpected Aorta Uptake
Hirji, H., Sullivan, K., Lasker, I., Sharif, S., Nunes, A., Shepherd, C., Wong, W. and Sanghera, B. 2019. Effect of PET Image Reconstruction Techniques on Unexpected Aorta Uptake. Molecular Imaging and Radionuclide Therapy. 28 (1), pp. 1-7. https://doi.org/10.4274/mirt.galenos.2018.88528
Variance Ranking Attributes Selection Techniques for Binary Classification Problem in Imbalance Data
Ebenuwa, S., Sharif, M., Alazab, Mamoun and Al-Nemrat, A. 2019. Variance Ranking Attributes Selection Techniques for Binary Classification Problem in Imbalance Data. IEEE Access. 7, pp. 24649-24666. https://doi.org/10.1109/ACCESS.2019.2899578
Medical data analysis based on Nao robot: An automated approach towards robotic real-time interaction with human body
Sharif, M. and Alsibai, Mohammed Hayyan 2018. Medical data analysis based on Nao robot: An automated approach towards robotic real-time interaction with human body. in: 2017 7th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) IEEE. pp. 91-96
A Proposed Machine Learning Based Collective Disease Model to Enable Predictive Diagnostics in Necrotising Enterocolitis
van Druten, Jacqueline, Sharif, M., Khashu, Minesh and Abdalla, H. 2019. A Proposed Machine Learning Based Collective Disease Model to Enable Predictive Diagnostics in Necrotising Enterocolitis. in: Miraz, Mahdi H., Exce, Peter S., Jones, Andrew, Soomro, Safeeullah and Ali, Maaruf (ed.) Proceedings 2018 International Conference on Computing, Electronics & Communications Engineering (iCCECE) IEEE. pp. 101-106
A Machine Learning Techniques to Detect Counterfeit Medicine Based on X-Ray Fluorescence Analyser
Alsallal, Muna, Sharif, M., Al-Ghzawi, Baydaa and al Mutoki, Sabah Mohammed Mlkat 2019. A Machine Learning Techniques to Detect Counterfeit Medicine Based on X-Ray Fluorescence Analyser. in: Miraz, Mahdi H., Excell, Peter S., Jones, Andrew, Soomro, Safeeullah and Ali, Maaruf (ed.) Proceedings 2018 International Conference on Computing, Electronics & Communications Engineering (iCCECE) IEEE. pp. 118-122
Cold Recycling of Reclaimed Asphalt Pavements
Tebaldi, G., Dave, E., Hugener, M., Falchetto, A. C., Perraton, D., Grilli, A., Lo Presti, D., Pasetto, M., Loizos, A., Jenkins, K., Apeagyei, A., Grenfell, J. and Bocci, M. 2018. Cold Recycling of Reclaimed Asphalt Pavements. in: Partl, M. N., Porot, L., Di Benedetto, H., Canestrari, F., Marsac, P. and Tebaldi, G. (ed.) Testing and Characterization of Sustainable Innovative Bituminous Materials and Systems: State-of-the-Art Report of the RILEM Technical Committee 237-SIB Springer. pp. 239-296
Recommendation of RILEM TC237-SIB on cohesion test of recycled asphalt
Tebaldi, G., Dave, E., Cannone Falchetto, A., Hugener, M., Perraton, D., Grilli, A., Lo Presti, D., Pasetto, M., Loizos, A., Jenkins, K., Apeagyei, A., Grenfell, J. and Bocci, M. 2018. Recommendation of RILEM TC237-SIB on cohesion test of recycled asphalt. Materials and Structures. 51 (Art. 117). https://doi.org/10.1617/s11527-018-1238-4
An Innovative EPW Design Using Add-on Features to Meet Malaysian Requirements
Alsibai, Mohammed Hayyan, Sharif, M., Yaakub, Salma and Hamran, Nurul Nadia Nor 2018. An Innovative EPW Design Using Add-on Features to Meet Malaysian Requirements. in: Proceedings of the 7th IEEE International Conference on Control Systems, Computing and Engineering (ICCSCE 2017) IEEE. pp. 180-185
Physical and rheological characterization of carbonated bitumen for paving applications
Apeagyei, A. and Airey, Gordon D. 2018. Physical and rheological characterization of carbonated bitumen for paving applications. Materials & Design. 140, pp. 345-356. https://doi.org/10.1016/j.matdes.2017.11.069
An Effective TeleHealth Assistive System to Support Senior Citizen at Home or Care-Homes
Sharif, M., Alsallal, Muna and Herghelegiu, Lucian 2018. An Effective TeleHealth Assistive System to Support Senior Citizen at Home or Care-Homes. IEEE International Conference on Computing, Electronics & Communications Engineering 2018 (iCCECE '18). Southend, UK 16 - 17 Aug 2018 IEEE. pp. 113-117 https://doi.org/10.1109/iCCECOME.2018.8658877
Behaviour of steel-fibre-reinforced concrete beams under high-rate loading
Abbas, A., Cotsovos, Demetrios M. and Behinaein, Pegah 2018. Behaviour of steel-fibre-reinforced concrete beams under high-rate loading. Computers and Concrete, An International Journal. 22 (3), pp. 337-353. https://doi.org/10.12989/cac.2018.22.3.337
Functional Connectivity Evaluation for Infant EEG Signals based on Artificial Neural Network
Sharif, M., Naeem, U., Islam, S. and Karami, A. 2018. Functional Connectivity Evaluation for Infant EEG Signals based on Artificial Neural Network. Arai, Kohei, Kapoor, Supriya and Bhatia, Rahul (ed.) Intelligent Systems Conference (IntelliSys) 2018. London, UK 06 - 07 Sep 2018 Springer, Cham. https://doi.org/10.1007/978-3-030-01057-7_34
The Application of a Semantic-Based Process Mining Framework on a Learning Process Domain
Okoye, Kingsley, Islam, S., Naeem, U., Sharif, M., Azam, Muhammad Awais and Karami, A. 2018. The Application of a Semantic-Based Process Mining Framework on a Learning Process Domain. Arai, Kohei, Kapoor, Supriya and Bhatia, Rahul (ed.) Intelligent Systems Conference (IntelliSys) 2018. London, UK 06 - 07 Sep 2018 Springer, Cham. https://doi.org/10.1007/978-3-030-01054-6_96
Taskification – Gamification of Tasks
Naeem, U., Islam, S., Sharif, M., Sudakov, Sergey and Azam, Awais 2017. Taskification – Gamification of Tasks. in: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers Association for Computing Machinery (ACM). pp. 631-634
SignalSense - Towards Quality Service
Islam, S., Sharif, M., Naeem, U. and Geehan, James 2017. SignalSense - Towards Quality Service. in: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers Association for Computing Machinery (ACM). pp. 627-630
CrimeSafe - Helping you stay safe
Islam, S., Naeem, U., Sharif, M. and Dovnarovic, Arnold 2017. CrimeSafe - Helping you stay safe. in: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers Association for Computing Machinery (ACM). pp. 642-645
The Future of Enterprise Security with Regards to Mobile Technology and Applications
Tagoe, F. T. and Sharif, M. 2017. The Future of Enterprise Security with Regards to Mobile Technology and Applications. in: Jahankhani, Hamid, Carlile, Alex, Emm, David, Hosseinian-Far, Amin, Brown, Guy, Sexton, Graham and Jamal, Arshad (ed.) Global Security, Safety and Sustainability - The Security Challenges of the Connected World. ICGS3 2017 Proceedings Springer International Publishing.
Actor-Network Theory as a Framework to Analyse Technology Acceptance Model’s External Variables: The Case of Autonomous Vehicles
Seuwou, Patrice, Banissi, Ebad, Ubakanma, George, Sharif, M. and Healey, Ann 2017. Actor-Network Theory as a Framework to Analyse Technology Acceptance Model’s External Variables: The Case of Autonomous Vehicles. in: Jahankhani, Hamid, Carlile, Alex, Emm, David, Hosseinian-Far, Amin, Brown, Guy, Sexton, Graham and Jamal, Arshad (ed.) Global Security, Safety and Sustainability - The Security Challenges of the Connected World. ICGS3 2017 Proceedings Springer International Publishing.
An efficient system for preprocessing confocal corneal images for subsequent analysis
Sharif, M., Qahwaji, Rami, Hayajneh, Sofyan, Ipson, Stanley, Alzubaidi, Rania and Brahma, Arun 2014. An efficient system for preprocessing confocal corneal images for subsequent analysis. in: 2014 14th UK Workshop on Computational Intelligence (UKCI) IEEE.
Artificial Neural Network-Based System for PET Volume Segmentation
Sharif, M., Abbod, Maysam, Amira, Abbes and Zaidi, Habib 2010. Artificial Neural Network-Based System for PET Volume Segmentation. International Journal of Biomedical Imaging. 2010 (105610). https://doi.org/10.1155/2010/105610
Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification
Sharif, M., Abbod, Maysam, Amira, Abbes and Zaidi, Habib 2012. Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification. Advances in Fuzzy Systems. 2012 (327861). https://doi.org/10.1155/2012/327861
Machine Learning Optimisation for Realistic 2D and 3D PET-CT Phantom Study
Sharif, M., Abbod, Maysam, Sonoda, Luke I. and Sanghera, Bal 2013. Machine Learning Optimisation for Realistic 2D and 3D PET-CT Phantom Study. British Journal of Applied Science & Technology. 4 (4), pp. 634-649. https://doi.org/10.9734/bjast/2014/5084
Preparation of 2D sequences of corneal images for 3D model building
Elbita, Abdulhakim, Qahwaji, Rami, Ipson, Stanley, Sharif, M. and Ghanchi, Faruque 2015. Preparation of 2D sequences of corneal images for 3D model building. Computer Methods and Programs in Biomedicine. 114 (2), pp. 194-205. https://doi.org/10.1016/j.cmpb.2014.01.009
Medical image classification based on artificial intelligence approaches: A practical study on normal and abnormal confocal corneal images
Sharif, M., Qahwaji, R., Ipson, S. and Brahma, A. 2015. Medical image classification based on artificial intelligence approaches: A practical study on normal and abnormal confocal corneal images. Applied Soft Computing. 36 (Nov.), pp. 269-282. https://doi.org/10.1016/j.asoc.2015.07.019
An efficient intelligent analysis system for confocal corneal endothelium images
Sharif, M., Qahwaji, R., Shahamatnia, E., Alzubaidi, R., Ipson, S. and Brahma, A. 2015. An efficient intelligent analysis system for confocal corneal endothelium images. Computer Methods and Programs in Biomedicine. 122 (3), pp. 421-436. https://doi.org/10.1016/j.cmpb.2015.09.003
In Vivo Confocal Microscopic Corneal Images in health and disease with an emphasis on extracting features and visual signatures for corneal diseases: A review study
Alzubaidi, Rania, Sharif, M., Qahwaji, Rami, Ipson, Stanley and Brahma, Arun 2015. In Vivo Confocal Microscopic Corneal Images in health and disease with an emphasis on extracting features and visual signatures for corneal diseases: A review study. British Journal of Ophthalmology. 100 (1), pp. 41-55. https://doi.org/10.1136/bjophthalmol-2015-306934
Moisture damage evaluation of aggregate–bitumen bonds with the respect of moisture absorption, tensile strength and failure surface
Zhang, J., Airey, G. D., Grenfell, J. and Apeagyei, A. 2017. Moisture damage evaluation of aggregate–bitumen bonds with the respect of moisture absorption, tensile strength and failure surface. Road Materials and Pavement Design. 18 (4), pp. 833-848. https://doi.org/10.1080/14680629.2017.1286441
A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing
Pizzamiglio, S., Naeem, U., ur Réhman, Shafiq, Sharif, M., Abdalla, H. and Turner, D. 2017. A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing. Procedia Computer Science. 113, pp. 89-96. https://doi.org/10.1016/j.procs.2017.08.297
A simplified finite element model for assessing steel fibre reinforced concrete structural performance
Abbas, A., Syed Mohsin, Sharifah M. and Cotsovos, Demetrios M. 2016. A simplified finite element model for assessing steel fibre reinforced concrete structural performance. Computers and Structures. 173, pp. 31-49. https://doi.org/10.1016/j.compstruc.2016.05.017
Development of a composite substrate peel test to assess moisture sensitivity of aggregate–bitumen bonds
Zhang, J., Airey, G. D., Grenfell, J., Apeagyei, A. and Barrett, M. 2016. Development of a composite substrate peel test to assess moisture sensitivity of aggregate–bitumen bonds. International Journal of Adhesion and Adhesives. 68, pp. 133-141. https://doi.org/10.1016/j.ijadhadh.2016.02.013
Time dependent viscoelastic rheological response of pure, modified and synthetic bituminous binders
Airey, G. D., Grenfell, J. R. A., Apeagyei, A., Subhy, A. and Lo Presti, D. 2016. Time dependent viscoelastic rheological response of pure, modified and synthetic bituminous binders. Mechanics of Time-Dependent Materials. 20 (3), pp. 455-480. https://doi.org/10.1007/s11043-016-9295-y
Moisture sensitivity examination of asphalt mixtures using thermodynamic, direct adhesion peel and compacted mixture mechanical tests
Zhang, J., Airey, G. D., Grenfell, J. and Apeagyei, A. 2016. Moisture sensitivity examination of asphalt mixtures using thermodynamic, direct adhesion peel and compacted mixture mechanical tests. Road Materials and Pavement Design. 19 (1), pp. 120-138. https://doi.org/10.1080/14680629.2016.1249510
Shear behaviour of steel-fibre-reinforced concrete simply supported beams
Abbas, A., Syed Mohsin, Sharifah M., Cotsovos, Demetrios M. and Ruiz-Teran, Ana M. 2014. Shear behaviour of steel-fibre-reinforced concrete simply supported beams. Proceedings of the ICE - Structures and Buildings. 167 (9), pp. 544-558.
Statically-Indeterminate SFRC Columns under Cyclic Loads
Abbas, A., Mohsin, Sharifah, Cotsovos, Demetrios and Ruiz-Teran, Ana 2014. Statically-Indeterminate SFRC Columns under Cyclic Loads. Advances in Structural Engineering. 17 (10), pp. 1403-1418.
Application of Fickian and non-Fickian diffusion models to study moisture diffusion in asphalt mastics
Apeagyei, A., Grenfell, J. R. A. and Airey, G. D. 2015. Application of Fickian and non-Fickian diffusion models to study moisture diffusion in asphalt mastics. Materials and Structures. 48 (5), pp. 1461-1474. https://doi.org/10.1617/s11527-014-0246-2
Moisture damage assessment using surface energy, bitumen stripping and the SATS moisture conditioning procedure
Grenfell, J., Apeagyei, A. and Airey, G. 2015. Moisture damage assessment using surface energy, bitumen stripping and the SATS moisture conditioning procedure. International Journal of Pavement Engineering. 16 (5), pp. 411-431. https://doi.org/10.1080/10298436.2015.1007235
Influence of aggregate absorption and diffusion properties on moisture damage in asphalt mixtures
Apeagyei, A., Grenfell, J. R. A. and Airey, G. D. 2015. Influence of aggregate absorption and diffusion properties on moisture damage in asphalt mixtures. Road Materials and Pavement Design. 16 (Sup 1), pp. 404-422. https://doi.org/10.1080/14680629.2015.1030827
Influence of aggregate mineralogical composition on water resistance of aggregate–bitumen adhesion
Zhang, J., Apeagyei, A., Airey, G. D. and Grenfell, J. R. A. 2015. Influence of aggregate mineralogical composition on water resistance of aggregate–bitumen adhesion. International Journal of Adhesion and Adhesives. 62, pp. 45-54. https://doi.org/10.1016/j.ijadhadh.2015.06.012
Moisture-induced strength degradation of aggregate–asphalt mastic bonds
Apeagyei, A., Grenfell, J. R. A. and Airey, G. D. 2014. Moisture-induced strength degradation of aggregate–asphalt mastic bonds. Road Materials and Pavement Design. 15 (Sup 1), pp. 239-262. https://doi.org/10.1080/14680629.2014.927951
Observation of reversible moisture damage in asphalt mixtures
Apeagyei, A., Grenfell, J. R. A. and Airey, G. D. 2014. Observation of reversible moisture damage in asphalt mixtures. Construction and Building Materials. 60, pp. 73-80. https://doi.org/10.1016/j.conbuildmat.2014.02.033
Seismic response of steel fibre reinforced concrete beam-column joints
Abbas, A., Syed Mohsin, Sharifah M. and Cotsovos, Demetrios M. 2014. Seismic response of steel fibre reinforced concrete beam-column joints. Engineering Structures. 59 (Feb14), pp. 261-283.
Examination of moisture sensitivity of aggregate–bitumen bonding strength using loose asphalt mixture and physico-chemical surface energy property tests
Liu, Y., Apeagyei, A., Ahmad, N., Grenfell, J. and Airey, G. 2013. Examination of moisture sensitivity of aggregate–bitumen bonding strength using loose asphalt mixture and physico-chemical surface energy property tests. International Journal of Pavement Engineering. 15 (7), pp. 657-670. https://doi.org/10.1080/10298436.2013.855312
Assessing asphalt mixture moisture susceptibility through intrinsic adhesion, bitumen stripping and mechanical damage
Grenfell, J., Ahmad, N., Liu, Y., Apeagyei, A., Large, D. and Airey, G. 2013. Assessing asphalt mixture moisture susceptibility through intrinsic adhesion, bitumen stripping and mechanical damage. Road Materials and Pavement Design. 15 (1), pp. 131-152. https://doi.org/10.1080/14680629.2013.863162