Showing results 1 to 20 of 24
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| Issue Date | Title | Author(s) |
| 2023-01-28 | Metro Ridership Forecasting using Inter-Station-Aware Transformer Networks | Saleh, K; Mihaita, A-S; Ou, Y |
| 2023-01-28 | Traffic Accident Risk Forecasting using Contextual Vision Transformers with Static Map Generation and Coarse-Fine-Coarse Transformers | Grigorev, A; Saleh, K; Mihaita, A-S |
| 2023-01-01 | Training Physics- Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction | Wang, B; Qin, AK; Shafiei, S; Dia, H; Mihaita, A-S; Grzybowska, H |
| 2022-10-12 | Traffic Accident Risk Forecasting using Contextual Vision Transformers | Saleh, K; Grigorev, A; Mihaita, A-S |
| 2022-10-12 | Traffic disruption modelling with mode shift in multi-modal networks | Zhao, D; Mihaita, A-S; Ou, Y; Shafiei, S; Grzybowska, H; Qin, AK; Tan, G; Li, M; Dia, H |
| 2022-10-12 | Real-time Attention-Augmented Spatio-Temporal Networks for Video-based Driver Activity Recognition | Saleh, K; Mihaita, A-S; Yu, K; Chen, F |
| 2022-09-20 | Traffic Accident Risk Forecasting using Contextual Vision Transformers | Saleh, K; Grigorev, A; Mihaita, A-S |
| 2022-09-18 | Traffic incident duration prediction via a deep learning framework for text description encoding | Grigorev, A; Mihaita, A-S; Saleh, K; Piccardi, M |
| 2022-08-01 | Incident duration prediction using a bi-level machine learning framework with outlier removal and intra–extra joint optimisation | Grigorev, A; Mihaita, A-S; Lee, S; Chen, F |
| 2022-05-10 | Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisation | Grigorev, A; Mihaita, A-S; Lee, S; Chen, F |
| 2022 | Framework for User-Centered Access to Electric Charging Facilities via Energy-Trading Blockchain | Patel, AR; Trivedi, G; Vyas, DR; Mihaita, A-S; Padmanaban, S |
| 2021-10-27 | How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approach | Grigorev, A; Mao, T; Berry, A; Tan, J; Purushothaman, L; Mihaita, A-S |
| 2021-10-22 | Big Data Processing and Analysis on the Impact of COVID-19 on Public Transport Delay | Mihaita, A-S; Ou, Y; Chen, F |
| 2021-01-01 | Boosted Genetic Algorithm Using Machine Learning for Traffic Control Optimization | Mao, T; Mihaita, A-S; Chen, F; Vu, HL |
| 2020-09-20 | Dynamic Train Demand Estimation and Passenger Assignment | Ou, Y; Mihaita, A-S; Chen, F |
| 2020-06-23 | Traffic congestion anomaly detection and prediction using deep learning | Mihaita, A-S; Li, H; Rizoiu, M-A |
| 2020-01-12 | Short-Term Traffic Prediction Under Non-Recurrent Incident Conditions Integrating Data-Driven Models and Traffic Simulation | Shafiei, S; Mihaita, A-S; Nguyen, H; Bentley, C; Cai, C |
| 2020-01-01 | Graph modelling approaches for motorway traffic flow prediction | Mihaita, A-S; Papachatgis, Z; Rizoiu, M-A |
| 2019-10-27 | Motorway Traffic Flow Prediction using Advanced Deep Learning | Mihaita, A-S; Li, H; He, Z; Rizoiu, M-A |
| 2019-06-11 | Trip Table Estimation and Prediction for Dynamic Traffic Assignment Applications | Shafiei, S; Mihaita, A-S; Cai, C |
