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A first look at bridging discrete choice modeling and agent-based microsimulation in MATSim.

, , and . ANT/SEIT, volume 130 of Procedia Computer Science, page 900-907. Elsevier, (2018)

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Agent-based simulation of autonomous taxi services with dynamic demand responses.. ANT/SEIT, volume 109 of Procedia Computer Science, page 899-904. Elsevier, (2017)Pre-calibration of a Discrete Choice Model and Evaluation of Cycling Mobility for Île-de-France., , , and . ANT/EDI40, volume 184 of Procedia Computer Science, page 172-177. Elsevier, (2021)Extending JSprit to solve electric vehicle routing problems with recharging., , , and . ANT/EDI40, volume 201 of Procedia Computer Science, page 289-295. Elsevier, (2022)Implementing reinforcement learning for on-demand vehicle rebalancing in MATSim., , and . ANT/EDI40, volume 201 of Procedia Computer Science, page 134-141. Elsevier, (2022)The Prospects of on-demand Urban Air Mobility in Zurich, Switzerland., , and . ITSC, page 906-913. IEEE, (2019)Integrating discrete choice models with MATSim scoring.. ANT/EDI40, volume 184 of Procedia Computer Science, page 704-711. Elsevier, (2021)Introducing the eqasim pipeline: From raw data to agent-based transport simulation., and . ANT/EDI40, volume 184 of Procedia Computer Science, page 712-719. Elsevier, (2021)Graph Neural Network Approach to Predict the Effects of Road Capacity Reduction Policies: A Case Study for Paris, France., , , and . CoRR, (2024)An improved replanning strategy for congested traffic conditions in MATSim., , , , and . ANT/EDI40, volume 170 of Procedia Computer Science, page 779-784. Elsevier, (2020)Dynamic demand estimation for an AMoD system in Paris., , and . IV, page 260-266. IEEE, (2019)