| A literature review of Artificial Intelligence applications in railway systems R Tang, L De Donato, N Besinović, F Flammini, RMP Goverde, Z Lin, ... Transportation Research Part C: Emerging Technologies 140, 103679, 2022 | 196 | 2022 |
| Artificial intelligence in railway transport: Taxonomy, regulations, and applications N Bešinović, L De Donato, F Flammini, RMP Goverde, Z Lin, R Liu, ... IEEE Transactions on Intelligent Transportation Systems 23 (9), 14011-14024, 2021 | 93 | 2021 |
| Incorporating weather conditions and travel history in estimating the alighting bus stops from smart card data T Tang, R Liu, C Choudhury Sustainable Cities and Society 53, 101927, 2020 | 55 | 2020 |
| Multi-stage deep learning approaches to predict boarding behaviour of bus passengers T Tang, A Fonzone, R Liu, C Choudhury Sustainable Cities and Society 73, 103111, 2021 | 30 | 2021 |
| Predicting hourly boarding demand of bus passengers using imbalanced records from smart-cards: A deep learning approach T Tang, R Liu, C Choudhury, A Fonzone, Y Wang IEEE Transactions on Intelligent Transportation Systems 24 (5), 5105-5119, 2023 | 17 | 2023 |
| Bus OD matrix reconstruction based on clustering Wi-Fi probe data Y Wang, W Zhang, T Tang, D Wang, Z Liu Transportmetrica B: Transport Dynamics 10 (1), 864-879, 2022 | 14 | 2022 |
| The calculation and distribution of CAV carbon emissions on urban transportation systems: A comparative analysis of renewable and non-renewable energy sources K Huang, P Zhou, Z Liu, T Tang, H Zhang, W Jiang Renewable Energy 230, 120884, 2024 | 10 | 2024 |
| A simulation-based model for evacuation demand estimation under unconventional metro emergencies Y Wang, T Tang Journal of transportation engineering, Part A: Systems 149 (7), 04023053, 2023 | 7 | 2023 |
| A holistic data-driven framework for developing a complete profile of bus passengers S Chen, X Liu, C Lyu, L Vlacic, T Tang, Z Liu Transportation Research Part A: Policy and Practice 173, 103692, 2023 | 7 | 2023 |
| A data-driven framework for natural feature profile of public transport ridership: Insights from Suzhou and Lianyungang, China T Tang, Z Gu, Y Yang, H Sun, S Chen, Y Chen Transportation Research Part A: Policy and Practice 183, 104049, 2024 | 5 | 2024 |
| RAILS Deliverable D 1.1: Definition of a reference taxonomy of AI in railways. Project: RAILS-Roadmaps for AI integration in the raiL Sector (Horizon 2020-Shift2Rail JU)(2020) F Flammini, T Tang, R Liu, Z Lin Report, 1, 2020 | 5 | 2020 |
| MTLMetro: A Deep Multi-Task Learning Model for Metro Passenger Demands Prediction H Huang, J Mao, R Liu, W Lu, T Tang, L Liu IEEE Transactions on Intelligent Transportation Systems 25 (9), 11805-11820, 2024 | 2 | 2024 |
| An extended cellular automation model for bicycles with group and retrograde behaviors at signalized intersections YX Rui, JQ Shi, P Liao, J Zhang, T Tang Simulation Modelling Practice and Theory 136, 103004, 2024 | 1 | 2024 |
| A holistic approach to multi-depot electric bus scheduling for energy saving considering limitations in charging facilities Y Wang, J Chen, T Tang, Z Liu Energy 303, 131880, 2024 | 1 | 2024 |
| Predicting boarding and alighting behaviour of bus passengers with smart card data using machine learning techniques T Tang University of Leeds, 2020 | 1 | 2020 |
| The battle for kerbside space: An evaluation of the competition between car-hailing and bus services T Tang, R Liu, G Marsden, Z Gu, X Fu Transportation Research Part A: Policy and Practice 192, 104392, 2025 | | 2025 |
| A convergent cross‐mapping approach for unveiling congestion spatial causality in urban traffic networks J Mao, H Huang, Y Gu, W Lu, T Tang, F Ding Computer‐Aided Civil and Infrastructure Engineering 40 (3), 301-322, 2025 | | 2025 |
| Origin-Destination Matrix Prediction in Public Transport Networks: Incorporating Heterogeneous Direct and Transfer Trips T Tang, J Mao, R Liu, Z Liu, Y Wang, D Huang IEEE Transactions on Intelligent Transportation Systems, 2024 | | 2024 |
| Accounting for service states of taxis in estimating route travel time from floating car data using Markov chain model T Tang, S Zhong, Y Chen, L Luo Multimodal Transportation 3 (4), 100172, 2024 | | 2024 |
| On the Temporal-spatial Analysis of Estimating Urban Traffic Patterns Via GPS Trace Data of Car-hailing Vehicles J Mao, L Liu, H Huang, W Lu, K Yang, T Tang, H Shi arXiv preprint arXiv:2306.07456, 2023 | | 2023 |