| The MATSim Open Berlin Scenario: A multimodal agent-based transport simulation scenario based on synthetic demand modeling and open data D Ziemke, I Kaddoura, K Nagel Procedia computer science 151, 870-877, 2019 | 178 | 2019 |
| Towards welfare optimal operation of innovative mobility concepts: External cost pricing in a world of shared autonomous vehicles I Kaddoura, J Bischoff, K Nagel Transportation Research Part A: Policy and Practice 136, 48-63, 2020 | 74 | 2020 |
| An activity-based and dynamic approach to calculate road traffic noise damages I Kaddoura, L Kröger, K Nagel Transportation Research Part D: Transport and Environment 54, 335-347, 2017 | 62 | 2017 |
| Simulation-based optimization of service areas for pooled ride-hailing operators J Bischoff, I Kaddoura, M Maciejewski, K Nagel Procedia Computer Science 130, 816-823, 2018 | 54 | 2018 |
| Optimal public transport pricing: Towards an agent-based marginal social cost approach I Kaddoura, B Kickhöfer, A Neumann, A Tirachini Journal of Transport Economics and Policy (JTEP) 49 (2), 200-218, 2015 | 40 | 2015 |
| The impact of trip density on the fleet size and pooling rate of ride-hailing services: A simulation study I Kaddoura, T Schlenther Procedia Computer Science 184, 674-679, 2021 | 37 | 2021 |
| The impact of pricing and service area design on the modal shift towards demand responsive transit I Kaddoura, G Leich, K Nagel Procedia Computer Science 170, 807-812, 2020 | 37 | 2020 |
| Agent-based optimisation of public transport supply and pricing: Impacts of activity scheduling decisions and simulation randomness I Kaddoura, B Kickhöfer, A Neumann, A Tirachini Transportation 42 (6), 1039-1061, 2015 | 37 | 2015 |
| Marginal congestion cost pricing in a multi-agent simulation investigation of the greater Berlin area I Kaddoura Journal of Transport Economics and Policy (JTEP) 49 (4), 560-578, 2015 | 33 | 2015 |
| Simultaneous internalization of traffic congestion and noise exposure costs I Kaddoura, K Nagel Transportation 45 (5), 1579-1600, 2018 | 32 | 2018 |
| Congestion pricing in a real-world oriented agent-based simulation context I Kaddoura, K Nagel Research in Transportation Economics 74, 40-51, 2019 | 30 | 2019 |
| On-road air pollution exposure to cyclists in an agent-based simulation framework A Agarwal, I Kaddoura Periodica Polytechnica Transportation Engineering 48 (2), 117-125, 2020 | 25 | 2020 |
| User-specific and dynamic internalization of road traffic noise exposures I Kaddoura, L Kröger, K Nagel Networks and Spatial Economics 17, 153-172, 2017 | 24 | 2017 |
| Optimal road pricing: Towards an agent-based marginal social cost approach I Kaddoura, B Kickhöfer VSP working paper 14-01, TU Berlin, transport systems planning and transport …, 2014 | 22 | 2014 |
| Using real-world traffic incident data in transport modeling I Kaddoura, K Nagel Procedia computer science 130, 880-885, 2018 | 16 | 2018 |
| Verkehrsmodellierung für das Ruhrgebiet: Simulationsbasierte Szenariountersuchung und Wirkungsanalyse einer verbesserten regionalen Fahrradinfrastruktur I Kaddoura, J Laudan, D Ziemke, K Nagel Neue Dimensionen der Mobilität: Technische und betriebswirtschaftliche …, 2020 | 14 | 2020 |
| Entwicklung eines regionalen, agentenbasierten Verkehrssimulationsmodells zur Analyse von Mobilitätsszenarien für die Region Ruhr D Ziemke, I Kaddoura, A Agarwal Mobilität in Zeiten der Veränderung: Technische und betriebswirtschaftliche …, 2019 | 11 | 2019 |
| Agent-based congestion pricing and transport routing with heterogeneous values of travel time savings I Kaddoura, K Nagel Procedia Computer Science 83, 908-913, 2016 | 11 | 2016 |
| ACTIVITY-BASED COMPUTATION OF MARGINAL NOISE EXPOSURE COSTS: IMPLICATIONS FOR TRAFFIC MANAGEMENT I Kaddoura, K Nagel Transportation Research Board 95th Annual Meeting, 2016 | 10 | 2016 |
| Mind the gap–Passenger arrival patterns in multi-agent simulations A Neumann, I Kaddoura, K Nagel Conference on Agent-Based Modeling in Transportation Planning and Operations …, 2013 | 10 | 2013 |
Kai NagelBestätigte E-Mail-Adresse bei vsp.tu-berlin.de
