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Negin Alisoltani
Negin Alisoltani
Univ. Gustave Eiffel, IFSTTAR, COSYS-GRETTIA, Paris, France
Geverifieerd e-mailadres voor univ-eiffel.fr
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Can dynamic ride-sharing reduce traffic congestion?
N Alisoltani, L Leclercq, M Zargayouna
Transportation Research Part B: Methodological 145, 212-246, 2021
782021
A Sequential Clustering Method for the Taxi Dispatching Problem Considering Traffic Dynamics
N Alisoltani, M Zargayouna, L Leclercq
IEEE Intelligent Transportation Systems Magazine, 2020
192020
Space-time clustering-based method to optimize shareability in real-time ride-sharing
N Alisoltani, M Ameli, M Zargayouna, L Leclercq
Plos one 17 (1), e0262499, 2022
132022
Optimal fleet management for real-time ride-sharing service considering network congestion
N Alisoltani, L Leclercq, M Zargayouna, J Krug
Proc. Transportation Research Board 98th Annu. Meeting (TRB 2019), 22, 2019
132019
Real-Time Autonomous Taxi Service: An Agent-Based Simulation
N Alisoltani, M Zargayouna, L Leclercq
Agents and Multi-agent Systems: Technologies and Applications 2020, 2020
102020
A Unique Mathematical Framework for Optimizing Patient Satisfaction in Emergency Departments
M S. Farzaneh Kholghabad, H., Alisoltani, N., Nazari-Shirkouhi, S., Azadeh, M.
Iranian Journal of Management Studies 12 (2), 81-105, 2019
10*2019
A Multi-agent System for Real-Time Ride Sharing in Congested Networks
N Alisoltani, M Zargayouna, L Leclercq
Agents and Multi-agent Systems: Technologies and Applications 2019, 333-342, 2019
92019
Lyon Metropolis realistic trip data set including home to work trips with private vehicles during the morning peak
M Ameli, N Alisoltani, L Leclercq
62021
Data-Oriented Approach for the Dial-A-Ride Problem
N Alisoltani, M Zargayouna, L Leclercq
2019 IEEE/ACS 16th International Conference on Computer Systems and …, 2019
62019
A unique fuzzy multi-control approach for continuous quality improvement in a radio therapy department
A Azadeh, M Ameli, N Alisoltani, S Motevali Haghighi
Quality & Quantity 50, 2469-2493, 2016
52016
Lyon North realistic trip data set during the morning peak
M Ameli, N Alisoltani, L Leclercq
42021
Frameworks d'optimisation basée sur la simulation pour le covoiturage dynamique
N Alisoltani
thèse de doctorat, Université de Lyon, 2020
22020
A Shareability Clustering Method to Solve the Dynamic Ride-Sharing Problem Considering Network Congestion
N Alisoltani, M Ameli, M Zargayouna, L Leclercq
TRB 2022, Transportation Research Board 101st Annual Meeting, 2022
12022
Simulation-Based Optimization Frameworks for Dynamic Ride-Sharing.(Méthodes d'optimisation basée sur la simulation pour le covoiturage dynamique).
NA Dehkordi
University of Lyon, France, 2020
12020
Network performance under different levels of ride-sharing: A simulation study
N Alisoltani, L Leclercq, M Zargayouna
TRISTAN X, The Tenth Triennial Symposium on Transportation Analysis, 5p, 2019
12019
Real-time ride-sharing systems performance considering network congestion
N Alisoltani, L Leclercq, M Zargayouna
hEART 2019 Symposium, Budapest, Hungary, 2019
12019
Collective Departure Time Allocation in Large-scale Urban Networks: A Flexible Modeling Framework with Trip Length and Desired Arrival Time Distributions
M Ameli, JP Lebacque, N Alisoltani, L Leclercq
arXiv preprint arXiv:2402.04963, 2024
2024
Assessing the Impact of Shared-Taxi Pricing on Congestion Using Agent-Based Modeling
N Alisoltani, M Zargayouna
Agents and Multi-agent Systems: Technologies and Applications 2023 …, 2023
2023
Modeling the morning commute problem under stochastic user equilibrium: convergence analysis based on Kullback-Leibler divergence
M Ameli, JP Lebacque, N Alisoltani, L Leclercq
the 102nd Annual Meeting Transportation Research Board, 2023
2023
Mass evacuation planning based on mean field games theory
N Alisoltani, M Ameli, MM Khoshyaran, JP Lebacque
Traffic and Granular Flow'22, 2023
2023
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Artikelen 1–20