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Ali Nadi
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Adaptive multi-agent relief assessment and emergency response
A Nadi, A Edrisi
International journal of disaster risk reduction 24, 12-23, 2017
642017
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
362021
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
112016
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
82023
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
72021
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
52022
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
52022
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
32024
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
32020
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
22024
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
22022
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
22021
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
12020
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
12019
Truck identification on freeways using Bluetooth data analysis
A Nadi, M Snelder, L Tavasszy, S Sharma, H Van Lint
12018
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
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