Adaptive multi-agent relief assessment and emergency response A Nadi, A Edrisi International journal of disaster risk reduction 24, 12-23, 2017 | 64 | 2017 |
Short-term prediction of outbound truck traffic from the exchange of information in logistics hubs: A case study for the port of Rotterdam A Nadi, S Sharma, M Snelder, T Bakri, H van Lint, L Tavasszy Transportation Research Part C: Emerging Technologies 127, 103111, 2021 | 36 | 2021 |
A reinforcement learning approach for evaluation of real-time disaster relief demand and network condition A Nadi, A Edrissi Int. J. Econ. Manag. Eng 11 (1), 5-10, 2016 | 11 | 2016 |
Data Fusion approach to identify distribution chain segments in freight shipment databases RA Mohammed, A Nadi, L Tavasszy, M Bok Transportation Research Record 2677 (6), 310-323, 2023 | 8 | 2023 |
A multi-class lane-changing advisory system for freeway merging sections using cooperative ITS S Sharma, I Papamichail, A Nadi, H Van Lint, L Tavasszy, M Snelder IEEE Transactions on Intelligent Transportation Systems 23 (9), 15121-15132, 2021 | 7 | 2021 |
Advisory-based time slot management system to mitigate waiting time at container terminal gates A Nadi, A Nugteren, M Snelder, JWC Van Lint, J Rezaei Transportation Research Record 2676 (10), 656-669, 2022 | 5 | 2022 |
A data-driven traffic modeling for analyzing the impacts of a freight departure time shift policy A Nadi, S Sharma, JWC van Lint, L Tavasszy, M Snelder Transportation Research Part A: Policy and Practice 161, 130-150, 2022 | 5 | 2022 |
Data-driven preference-based routing and scheduling for activity-based freight transport modelling A Nadi, N Yorke-Smith, M Snelder, JWC Van Lint, L Tavasszy Transportation Research Part C: Emerging Technologies 158, 104413, 2024 | 3 | 2024 |
Identifying tour structures in freight transport by mining of large trip databases A Nadi, H Van Lint, L Tavasszy, M Snelder 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 3 | 2020 |
Does Crowdshipping of Parcels Generate New Passenger Trips? Evidence from the Netherlands MS Cebeci, RJ Tapia, A Nadi, M Bok, L Tavasszy Transportation Research Record 2678 (6), 360-375, 2024 | 2 | 2024 |
Applying Markov decision process to adaptive dynamic route selection model A Edrisi, K Bagherzadeh, A Nadi Proceedings of the Institution of Civil Engineers-Transport 175 (6), 359-372, 2022 | 2 | 2022 |
A Multi-class Lane-changing Advisory System for Freeway Merging Sections S Sharma, I Papamichail, A Nadi, H Van Lint, L Tavasszy, M Snelder IFAC-PapersOnLine 54 (2), 93-98, 2021 | 2 | 2021 |
Optimization-based planning to assess the level of disaster in the city. A Edrisi, A Nadi, M Askari International Journal of Human Capital in Urban Management 5 (3), 2020 | 1 | 2020 |
Analyzing the role of seaport operations in generating inbound/outbound truck traffic demand and its implications on traffic system AN Najafabadi, S Sharma, M Snelder, L Tavasszy, H van Lint TRAIL PhD Congress 2019, 13, 2019 | 1 | 2019 |
Truck identification on freeways using Bluetooth data analysis A Nadi, M Snelder, L Tavasszy, S Sharma, H Van Lint | 1 | 2018 |
A simulation study of the impacts of micro-hub scenarios for city logistics in Rotterdam M de Bok, S Giasoumi, L Tavasszy, S Thoen, A Nadi, J Streng Research in Transportation Business & Management 56, 101186, 2024 | | 2024 |
Learnings from the simulation of use cases in city logistics in the HARMONY project M de Bok, L Tavasszy, A Nadi, S Thoen, S Giasoumi, J Streng Transportation Research Procedia 79, 249-256, 2024 | | 2024 |
Spatial and Temporal Characteristics of Freight Tours: A Data-Driven Exploratory Analysis A Nadi, L Tavasszy, JWC van Lint, M Snelder arXiv preprint arXiv:2311.15287, 2023 | | 2023 |
A Data-driven and multi-agent decision support system for time slot management at container terminals: A case study for the Port of Rotterdam A Nadi, M Snelder, JWC van Lint, L Tavasszy arXiv preprint arXiv:2311.15298, 2023 | | 2023 |
An Agent-Based Discrete Event Simulation of Teleoperated Driving in Freight Transport Operations: The Fleet Sizing Problem B Madadi, A Nadi, GHA Correia, T Verduijn, L Tavasszy arXiv preprint arXiv:2311.14225, 2023 | | 2023 |