Publication List

Book Chapters

  1. Ou, Yuming; Mihaita A. S.; Chen, Fang; "Big Data Processing and Analysis on the Impact of COVID-19 on Public Transport Delay", in Data Science for COVID-19, (Edited by Utku Kose, Deepak Gupta, Victor Hugo C. de Albuquerque, Ashish Khanna), Oct 2021. Preprint:
  2. Mihaita, A.S., Li, Z., Singh, H., Sharma, N., Mao, T., Ou, Y., Using Machine Learning and Deep Learning for traffic congestion prediction: a review, book chapter, Handbook of AI in Transportation, accepted November 2022.

International Journals

  1. A. Grigorev, A. -S. Mihăiţă, K. Saleh and F. Chen, "Automatic Accident Detection, Segmentation and Duration Prediction Using Machine Learning," in IEEE Transactions on Intelligent Transportation Systems (IF=8.5), doi: 10.1109/TITS.2023.3323636. Final published version PDF:
  2. Wu Q, Wu J, Kang B, Du B, Shen J, et al. 2023. An integrated and cooperative architecture for multi-intersection traffic signal control. Digital Transportation and Safety 2(2):150−163 doi: 10.48130/DTS-2023-0012. Final published version PDF:
  3. Artur Grigorev, Adriana-Simona Mihaita, Seunghyeon Lee, Fang Chen, Incident duration prediction using a bi-level machine learning framework with outlier removal and intra–extra joint optimisation, Transportation Research Part C: Emerging Technologies, Volume 141, 2022, 103721, ISSN 0968-090X, https://doi.org/10.1016/j.trc.2022.103721. final published version: preprint:
  4. Botín-Sanabria, D.M.; Mihaita, A.-S.; Peimbert-García, R.E.; Ramírez-Moreno, M.A.; Ramírez-Mendoza, R.A.; Lozoya-Santos, J.d.J. Digital Twin Technology Challenges and Applications: A Comprehensive Review. Remote Sens. 2022, 14, 1335, DOI: https://doi.org/10.3390/rs14061335, Open text link, Publisher paper:
  5. Shafiei, S.; Mihaita, A.S.; Nguyen, H.; Cai, C.; A data-driven and traffic simulation approach to predict the short-term traffic state affected by non-recurrent incidents, Transportation Letters: the International Journal of Transportation Research (IF=1.84), DOI: 10.1080/19427867.2021.1916284 , Preprint: Accepted 8th of April 2020.
  6. Mao, Tuo; Mihaita A. S., Chen, Fang, Vu, Hai, Boosted Genetic Algorithms using Machine Learning for traffic control optimisation, IEEE Transactions on Intelligent Transport Systems journal (IF = 6.3, H5 = 92, number one top publication ranking from Google Scholar in transportation domain), Accepted Feb 2020. Preprint: Appendix:
  7. Mihaita A. S., Dupont L., Cherry O., Camargo M., Cai C., Evaluating air quality inside an eco-neighbourhood by combining stationary and smart mobile pollution, Journal of Cleaner Production (JCLP), Vol. 221, pp 398-418, ISSN = 0959-6526, https://doi.org/10.1016/j.jclepro.2019.02.179 , (IF = 6.2, H5 = 116). Preprint:
  8. Mihaita A. S., Benavides, M., Camargo, C. Cai, Predicting air quality by integrating a mesoscopic traffic simulation model and air pollutant estimation models, International Journal of Intelligent Transportation System Research (IJITSR), ISSN="1868-8659", DOI="10.1007/s13177-018-0160-z", (SJR=0.209, SNIP = 0.468) Accepted version before publication .
  9. Mihaita A. S., Dupont L., Camargo M., Multi-objective traffic signal optimization using 3D mesoscopic simulation and evolutionary algorithms, Simulation Modelling Practice and Theory (SIMPAT), DOI: 10.1016/j.simpat.2018.05.005, (IF = 2.063, H5=49). Accepted version before publication
  10. Wen Tao, Mihaita A.S., Nguyen Hoang, Cai Chen, Integrated Incident decision support using traffic simulation and data-driven models. Transportation Research Record: Journal of the Transportation Research Board, (IF=0.552, H5=76), (accepted for journal publication after presentation in TRB 2018). accepted version before publication
  11. Mihaita A. S., Mocanu S., Lhoste, P., "Probabilistic analysis of a class of continuous-time stochastic switching systems with event-driven control", European Journal of Automation (accepted July 2016), (H5=17). preprint:
  12. Monticolo, D., Mihaita, A.S., Darwich, H., Hilaire, V., "An Agent Based System to build project memories during engineering projects", Knowledge Based Systems Journal (KBS), Sept 2017, DOI (IF=4.62, H5=74). preprint: BibTex:
  13. Monticolo D., Mihaita, A.S., "A multi Agent System to Manage Ideas during Collaborative Creativity Workshops", International Journal of Future Computer and Communication (IJFCC), vol 3, nr 1, February 2014, P66-70, DOI: 10.7763/IJFCC.2014.V3.269 extended version of the paper presented in ICFCC 2013, (H5=12). preprint: BibTex:
  14. Mihaita A. S., Mocanu S., "Simulation en temps continu pour la commande orientée événements des systèmes stochastiques à commutation", Journal Européen des Systèmes Automatisés (JESA) , 45(1-3),pp 157-172, Oct 2011, (H5=17), selected for publication after the MSR Conference Lille 2011. preprint(french): , preprint(english) BibTex:

Conference proceedings

  1. Grigorev, A., Mihaita, A.S., Aboufarw, K.S., Traffic Accident Risk Forecasting using Contextual Vision Transformers with Static Map Generation and Coarse-Fine-Coarse Transformers, IEEE ITSC 24-28 Sept 2023, Bilbao, Bizkaia, Spain. Preprint:
  2. Zhao, D., Mihaita, A.S., Ou, Y, Grzybowska, H., Modelling public transport patronage and traffic disruption impact evolution via Fourier transform, IEEE ITSC 24-28 Sept 2023, Bilbao, Bizkaia, Spain. Preprint:
  3. Saleh, K., Mihaita, A.S., Ou, Y, Metro Ridership Forecasting using Inter-Station-Aware Transformer Networks, IEEE ITSC 24-28 Sept 2023, Bilbao, Bizkaia, Spain. Preprint:
  4. Puraditya, Y., Mihaita, A.S., Ou, Y., Mao, T., Impact of off-peak fares on train patronage: a case study from DoT Victoria, pre and post COVID-19, ATRF 2023. Preprint:
  5. Wang, Bo, Kai Qin, Shafiei, S., Dia, H., Mihaita, A.S., Grzybowska, Training Physics-Informed Neural Networks via Multi-Task Optimisation for Traffic Density Prediction, 2023 International Joint Conference on Neural Networks (IJCNN), Gold Coast, Australia, accepted under anonymous peer reviews. Preprint:
  6. Grigorev, A., Mihaita, A.S., Saleh, K., Chen, F., The Integrated Analysis of Accident Reports and Traffic Flow Data Sets With Early Traffic Disruption Detection and Segmentation, Transportation Research Board 103rd Annual Meeting TRB 2023, Washington D.C. Preprint:
  7. Lee, S., Mao, T., Ou, Yuming, Mihaita, A.S., Chen Fang, Considering microscopic behaviour of motorists in safety assessment for railway level crossing in Australia, Transportation Research Board 103rd Annual Meeting TRB 2023, Washington D.C. Preprint:
  8. Zhao, D., Mihaita, A.S., Ou, Y., Grzybowska, H., Shafiei, S., Qin, K., Dia, H., Tan, G., Large-scale public transport origin-destination matrix estimation via weighted graph and traffic features integration, Transportation Research Board 103rd Annual Meeting TRB 2023, Washington D.C. Preprint:
  9. Grigorev, A., Mihaita, A.S., Saleh. K, Picardi, M., Traffic incident duration prediction via a deep learning framework for text description encoding, IEEE Itelligent Transport Systems Conference 2022, Macao, China, 2022. Preprint: Appendix
  10. Aboufarw, K.S., Grigorev, A., Mihaita, A.S., Traffic accident risk forecasting using Vision Transformers, IEEE Itelligent Transport Systems Conference 2022, Macao, China, 2022.. Preprint:
  11. Aboufarw, K., Mihaita, A.S., Yu, K., Chen, F., Real-time attention-augumented spatio-temporal networks for video-based driver activity recognition, IEEE Itelligent Transport Systems Conference 2022, Macao, China, 2022. Preprint:
  12. Zhao, D., Mihaita, A.S., Ou, Y., Shafiei, S., Grzybowska, H., Qin, K, Tan, G., Li, M., Multi-modal traffic state estimation and mode shift under disruptions, IEEE Itelligent Transport Systems Conference 2022, Macao, China, 2022. Preprint: Appendix: .
  13. Mihaita, A.S., Marche, B., Camargo, M., Rahimi, I., Multi-objective modelling of a roadside mowing problem: a case study in France, 28th IEEE ICE/ITMC and 31st IAMOT Conference IEEE — June 19-23, 2022 - Nancy, France, 2022. Preprint:
  14. Patel, A.R., Trivedi, G., Vyas, D.R., Mihaita, A.S., Sanjeevikumar, P., “Framework for user-centered access to electric charging facilities via energy-trading blockchain”, The 24th International Symposium on Wireless Personal Multimedia Communications (WPMC), Okyama, Japan, 14-16 Dec 2021. Preprint:
  15. Mao, T., Lee, S., Ou, Y. and Mihaita, A.S., Transport multi-mode choice prediction using machine learning, AJCAI 2021 conference (The 34th Australasian Joint Conference on Artificial Intelligence), Sydney, Australia. Appendix
  16. Grigorev, A., Mao, T., Berry, A., Tan, J., Purushothaman, L., Mihaita, A.S, How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approach, IEEE Intelligent Transport Systems Conference 2021. IEEE_ITSC_preprint Appendix Presentation sides .
  17. Mihaita A. S.; Papachatgis, Zac, Rizoiu, M.A., Graph modelling approaches for motorway traffic flow prediction, IEEE Intelligent Transport Systems Conference 2020, Rhodes, Greece. September 20-23, 2020. Preprint Preprint . Presentation sides .
  18. Ou, Yuming, Mihaita A. S., Fang Chen, Dynamic Train Demand Estimation and Passenger Assignment, IEEE Intelligent Transport Systems Conference 2020 , Rhodes, Greece. September 20-23, 2020. Preprint . Presentation sides .
  19. Shafiei,Sajjad, Mihaita, A.S., Nguyen, Hoang, Bentley, Christopher D B, Cai, Chen, Short-Term Traffic Prediction under Non-Recurrent Incident Conditions Integrating Data-Driven Models and Traffic Simulation, Transportation Research Board (TRB) 99th Annual Meeting, Washington D.C., Jan 2020.
  20. Mihaita, A.S., Li Haowen, He Zongyang, Rizoiu Marian-Andrei, Motorway Traffic Flow Prediction using Advanced Deep Learning, IEEE Intelligent Transport Systems Conference, Auckland, New Zealand, 27-30 October 2019. Preprint . presentation slides .
  21. Mihaita, A.S., Liu, Z., Cai, C., Rizoiu, M.A “Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting”, 26th ITS World Congress 2019, Singapore, 21-25 Oct 2019. Preprint . presentation slides .
  22. Mao, T., Mihaita, A.S., Cai, C., Traffic Signal Control Optimisation under Severe Incident Conditions using Genetic Algorithm, 26th ITS World Congress 2019, Singapore, 21-25 Oct 2019. Preprint . presentation slides .
  23. Shafiei, S. Mihaita, A.S., Cai, C., Trip Table Estimation and Prediction for Dynamic Traffic Assignment Applications, 26th ITS World Congress 2019, Singapore, 21-25 Oct 2019. Preprint . presentation slides .
  24. Mihaita A. S., Dupont L., Cherry O., Camargo M., Cai C., Air quality monitoring using stationary versus mobile sensing units: a case study from Lorraine, France, 25th World Congress on Intelligent Transportation Systems (ITSWC 2018), Copenhagen, Denmark, 17-21st of September 2018, (H5=11). preprint:
  25. Wen Tao, Mihaita A.S., Nguyen Hoang, Cai Chen, Integrated Incident decision support using traffic simulation and data-driven models. Transportation Research Board 97th Annual Meeting, Washington D.C., January 7-11, 2018. preprint: , final version soon in the AM online TRB, (H5=42).
  26. Mihaita A. S., Tyler Paul, Wall John, Vecovsky Vanessa, Cai Chen, Positioning and collision alert investigation for DSRC-equipped light vehicles through a case study in CITI, 24th World Congress on Intelligent Transportation Systems (ITSWC 2017), Montreal, Canada, 29 October -2 November 2017, (H5=11). preprint: , BibTex:
  27. Mihaita A.S., Cai Chen, Chen Fang, Event-triggered control for improving the positioning accuracy of connected vehicles equipped with DSRC, International Federation of Automatic Control World Congress (IFAC WC 2017), 9-14 July 2017, Toulouse, France, IFAC PaperOnline, 50-1, 8518-8524, (H5=32). preprint: , BibTex: .
  28. Mihaita A.S., Tyler Paul, Menon Aditya, Wen Tao, Ou Yuming, Cai Chen, Chen Fang, "An investigation of positioning accuracy transmitted by connected heavy vehicles using DSRC", Transportation Research Board 96th Annual Meeting, Washington D.C., January 8-12, 2017, (H5=42). preprint: , final version here, BibTex: presentation slides .
  29. Mihaita A.S., Benavides, M., Camargo, M., "Integrating a mesoscopic traffic simulation model and a simplified NO2 estimation model", 23rd World COngress on Intelligent Transportation Systems (ITSWC 2016), Melbourne, Australia, 10-14 October 2016, (H5=11). preprint: BibTex: presentation here.
  30. Mihaita A.S., Camargo, M., Lhoste, P. , "Evaluating the impact of the traffic reconfiguration of a complex urban intersection ", 10th International Conference on Modelling, Optimization and Simulation (MOSIM 2014), Nancy, France, 5-7 November 2014, (H5=8). preprint: BibTex:
  31. Mihaita A.S., Camargo, M., Lhoste, P. "Optimization of a complex urban intersection using discrete event simulation and evolutionary algorithms" , International Federation of Automatic Control World Congress (IFAC WC 2014), Cape Town, Africa, 24-29 August 2014, (H5=32). preprint: BibTex:
  32. Issa, F., Monticolo, D., Gabriel, A. , Mihaita, A.S., "An Intelligent System based on Natural Language Processing to support the brain purge in the creativity process", IAENG International Conference on Artificial Intelligence and Applications (ICAIA'14), Hong Kong, 12-14 March, 2014. preprint: BibTex:
  33. Monticolo, D., Mihaita A.S., "A Multi Agent System to manage ideas during Collaborative Creativity Workshops" , 5th International Conference on Future Computer and Communication (ICFCC), Phuket, Thailand, 26 May 2013, (H5=12). preprint: BibTex:
  34. Mihaita A. S., Mocanu S., "Un nouveau modéle de l'énergie de commande des systèmes stochastiques à commutation", Septième Conférence Internationale Francophone d'Automatique (CIFA) Grenoble, France, 4-7 July, 2012. preprint: BibTex:
  35. Mihaita A. S., Mocanu S., "An Energy Model for the Event-Based Control of a Switched Integrator", International Federation of Automatic Control World Congress (IFAC WC 2011), Milano, September 2011, (H5=32). preprint: BibTex:

Submitted

  • Mihaita, A.S., Cheung, C., Mao, T., Risky driving behaviour prediction using machine learning, IEEE ITSC 24-28 Sept 2023, Bilbao, Bizkaia, Spain. Appendix:
  • Mao, T., Mihaita, A.S., Zhao, D., Ou, Y., Chen, F., Estimating public transport accessibility using community demand data and smart card data , Journal of Public Transportation, submitted 12th of September 2022. Appendix:
  • Mihaita, A.S., Li, Z., Singh, H., Sharma, N., Mao, T., Ou, Y., Using Machine Learning and Deep Learning for traffic congestion prediction: a review, book chapter, Hanbook of AI in Transportation, Submitted August, 2022. Preprint:
  • Mao, T., Lee, S., Ou, Y. and Mihaita, A.S., Transport multi-mode choice prediction using a hybrid multi-output regression modelling, Transportation journal, submitted January, 2022. Preprint:
  • Ou, Y., Mihaita, A.S., Ellison, A., Mao, T., Zhang, L., Lozoya Santos, J.J, Lee, S., Chen, F., Digital Twin for Disruption Impact Analysis in Rail Transport, IEEE Transactiosn On ITS, August, 2022.
  • Mao, T., Mihaita, A.S., Zhao, D., Ou, Y., Lee, S., Chen, F., A new public transport accessibility estimation method using community public transport census and smart card data, TRB 2023, Washington D.C., submitted 1st of August 2022. Preprint:
  • Lee, S., Mao, T., Ou, Yuming, Mihaita, A.S., Chen Fang, Considering microscopic behaviour of motorists in safety assessment for railway level crossing in australia, TRB 2023, Washington D.C., submitted 1st of August 2022.
  • Zhao, D., Mihaita, A.S., Ou, Y., Grzybowska, H., Shafiei, S., Qin, K., Dia, H., Tan, G., Large-scale public transport origin-destination matrix estimation via weighted graph and traffic features integration, TRB 2023, Washington D.C.
  • Grigorev, A., Mihaita, A.S., Saleh, K., Chen, F., The fusion of Accident reports and Traffic flow data sets with early traffic disruption detection, TRB 2023, Washington D.C.
  • Adriana-Simona Mihaita, Haowen Li, Marian-Andrei Rizoiu, Traffic congestion anomaly detection and prediction using deep learning, ArXiv, 2020. Preprint:

Technical Reports

  • Mihaita A.S., Tyler Paul, "An investigation of Basic Safety Message Position Reporting of selected vehicles in CITI".
PhD Thesis
Master Thesis
  • Mihaita, A.S., "Maintien à domicile des personnes âgées : inférence statistique de données des capteurs de suivi d'activités", Gipsa-lab, , Institut National Polytechnique de Grenoble, July 2009. preprint(french): presentation slides(romanian):

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