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ORCIDIhab Kaddoura
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Conference and Workshop Papers
- 2021
[c10]Ihab Kaddoura, Tilmann Schlenther
:
The impact of trip density on the fleet size and pooling rate of ride-hailing services: A simulation study. ANT/EDI40 2021: 674-679- [c9]Benoit Lécureux, Ihab Kaddoura:
Sensitivity of the urban transport system to the value of travel time savings for shared autonomous vehicles: A simulation study. ANT/EDI40 2021: 686-691 - [c8]Gero L. Marburger, Ihab Kaddoura:
Towards a more realistic simulation of public transit: Generating transit schedules with vehicle circulations. ANT/EDI40 2021: 698-703 - [c7]William Charlton, Gregor Leich, Ihab Kaddoura:
Open-Source Web-Based Visualizer for Dynamic-Response Shared Taxi Simulations. ANT/EDI40 2021: 728-733 - 2020
- [c6]Ihab Kaddoura, Gregor Leich, Kai Nagel:
The impact of pricing and service area design on the modal shift towards demand responsive transit. ANT/EDI40 2020: 807-812 - 2019
- [c5]Nico Kühnel, Ihab Kaddoura, Rolf Moeckel:
Noise Shielding in an Agent-Based Transport Model Using Volunteered Geographic Data. ANT/EDI40 2019: 808-813 - [c4]Dominik Ziemke, Ihab Kaddoura, Kai Nagel:
The MATSim Open Berlin Scenario: A multimodal agent-based transport simulation scenario based on synthetic demand modeling and open data. ANT/EDI40 2019: 870-877 - 2018
- [c3]Joschka Bischoff, Ihab Kaddoura, Michal Maciejewski, Kai Nagel:
Simulation-based optimization of service areas for pooled ride-hailing operators. ANT/SEIT 2018: 816-823 - [c2]Ihab Kaddoura, Kai Nagel:
Using real-world traffic incident data in transport modeling. ANT/SEIT 2018: 880-885 - 2016
- [c1]Ihab Kaddoura, Kai Nagel:
Agent-based Congestion Pricing and Transport Routing with Heterogeneous Values of Travel Time Savings. ANT/SEIT 2016: 908-913
Coauthor Index
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