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Books and Theses
- 1995
[b1]Kai Nagel:
High-speed microsimulations of traffic flow. University of Cologne, Germany, 1995, pp. 1-202
Journal Articles
- 2024
- [j16]Sebastian Alexander Müller
, Sydney Paltra, Jakob Rehmann, Ricardo Ewert, Kai Nagel:
Comparing GPS and cell-based mobile phone data to identify activity participation during the COVID-19 pandemic. EPJ Data Sci. 13(1): 71 (2024) - 2019
- [j15]Dominik Ziemke, Simon Metzler, Kai Nagel:
Bicycle traffic and its interaction with motorized traffic in an agent-based transport simulation framework. Future Gener. Comput. Syst. 97: 30-40 (2019) - [j14]Joschka Bischoff, Michal Maciejewski, Tilmann Schlenther, Kai Nagel:
Autonomous Vehicles and their Impact on Parking Search. IEEE Intell. Transp. Syst. Mag. 11(4): 19-27 (2019) - 2016
- [j13]Michal Maciejewski, Joschka Bischoff, Kai Nagel:
An Assignment-Based Approach to Efficient Real-Time City-Scale Taxi Dispatching. IEEE Intell. Syst. 31(1): 68-77 (2016) - 2011
- [j12]Johannes Illenberger, Gunnar Flötteröd, Kai Nagel:
A Model of Risk-Sensitive Route-Choice Behavior and the Potential Benefit of Route Guidance. IEEE Trans. Intell. Transp. Syst. 12(2): 384-389 (2011) - [j11]Gunnar Flötteröd, Michel Bierlaire, Kai Nagel:
Bayesian Demand Calibration for Dynamic Traffic Simulations. Transp. Sci. 45(4): 541-561 (2011) - 2007
- [j10]Ulrike Beuck, Kai Nagel, Marcel Rieser, David Strippgen, Michael Balmer:
Preliminary Results of a Multiagent Traffic Simulation for Berlin. Adv. Complex Syst. 10(supp02): 289-307 (2007) - 2004
- [j9]Bryan Raney, Kai Nagel:
Iterative route planning for large-scale modular transportation simulations. Future Gener. Comput. Syst. 20(7): 1101-1118 (2004) - [j8]Michael Balmer, Kai Nagel, Bryan Raney:
Large-Scale Multi-Agent Simulations for Transportation Applications. J. Intell. Transp. Syst. 8(4): 205-221 (2004) - 2003
- [j7]Kai Nagel, Peter Wagner, Richard Woesler:
Still Flowing: Approaches to Traffic Flow and Traffic Jam Modeling. Oper. Res. 51(5): 681-710 (2003) - 2001
- [j6]Arnoud Visser, Kai Nagel:
Traffic simulation. Future Gener. Comput. Syst. 17(5): 625-626 (2001) - [j5]Marcus Rickert, Kai Nagel:
Dynamic traffic assignment on parallel computers in TRANSIMS. Future Gener. Comput. Syst. 17(5): 637-648 (2001) - [j4]Kai Nagel, Marcus Rickert:
Parallel implementation of the TRANSIMS micro-simulation. Parallel Comput. 27(12): 1611-1639 (2001) - 1999
- [j3]Riko Jacob, Madhav V. Marathe, Kai Nagel:
A Computational Study of Routing Algorithms for Realistic Transportation Networks. ACM J. Exp. Algorithmics 4: 6 (1999) - 1996
- [j2]Kai Nagel:
Comment on: B. S. Kerner and H. Rehborn, experimental properties of complexity in traffic flow, physical review E 53(5) R4275 (1996). Complex. 2(2): 8 (1996) - 1994
- [j1]Kai Nagel, A. Schleicher:
Microscopic Traffic Modeling on Parallel High Performance Computers. Parallel Comput. 20(1): 125-146 (1994)
Conference and Workshop Papers
- 2024
- [c66]Chengqi Lu, Sapan Tiwari, Neema Nassir, Kai Nagel:
Efficient operation of demand-responsive transport (DRT) systems: Active requests rejection. ANT/EDI40 2024: 81-90 - [c65]Christian Rakow, Kai Nagel:
Road network free flow speed estimation using microscopic simulation and point-to-point travel times. ANT/EDI40 2024: 698-705 - [c64]Niclas Richter, Kai Martins-Turner, Kai Nagel:
Extension of an agent-based simulation for the optimized allocation of freight requests to differently structured supply chains. ANT/EDI40 2024: 728-735 - [c63]Dariush Tamleh, Tilmann Schlenther, Kai Nagel:
Investigating the impact of stop network designs on DRT operation. ANT/EDI40 2024: 742-748 - [c62]Gregor Rybczak, Simon Meinhardt, Tilmann Schlenther, Christian Rakow, Dominik Ziemke, Kai Nagel:
Agent-based modeling of residential parking zones in Leipzig. ANT/EDI40 2024: 749-756 - [c61]Paul Heinrich, Janek Laudan, Kai Nagel:
Real-Time Routing in Traffic Simulations: A Distributed Event Processing Approach. ISPDC 2024: 1-5 - [c60]Janek Laudan, Paul Heinrich, Kai Nagel:
High-Performance Simulations for Urban Planning: Implementing Parallel Distributed Multi-Agent Systems in MATSim. ISPDC 2024: 1-8 - 2023
- [c59]Chengqi Lu, Michal Maciejewski, Hao Wu, Kai Nagel:
Optimization of demand-responsive transport: The rolling horizon approach. ANT/EDI40 2023: 145-153 - [c58]Christian Rakow, Kai Nagel:
An annealing based approach to informed mode choice in agent-based transport simulations. ANT/EDI40 2023: 667-673 - [c57]Theresa Ziemke, Leon Sering, Kai Nagel:
Spillback Changes the Long-Term Behavior of Dynamic Equilibria in Fluid Queuing Networks. ATMOS 2023: 11:1-11:14 - 2022
- [c56]Tilmann Schlenther, Peter Wagner, Gregor Rybczak, Kai Nagel, Laura Bieker-Walz, Michael Ortgiese:
Simulation-based investigation of transport scenarios for Hamburg. ANT/EDI40 2022: 587-593 - [c55]Thomas Gable, Kai Martins-Turner, Kai Nagel:
Enhanced Emission Calculation for Freight Transport. ANT/EDI40 2022: 601-607 - [c54]Chengqi Lu, Kai Martins-Turner, Kai Nagel:
Creating an agent-based long-haul freight transport model for Germany. ANT/EDI40 2022: 614-620 - 2021
- [c53]Dominik Ziemke, Luk Knapen, Kai Nagel:
Expanding the analysis scope of a MATSim transport simulation by integrating the FEATHERS activity-based demand model. ANT/EDI40 2021: 753-760 - 2020
- [c52]Sebastian Alexander Müller, Gregor Leich, Kai Nagel:
The effect of unexpected disruptions and information times on public transport passengers: a simulation study. ANT/EDI40 2020: 745-750 - [c51]Kai Martins-Turner, Alexander Grahle, Kai Nagel, Dietmar Göhlich:
Electrification of Urban Freight Transport - a Case Study of the Food Retailing Industry. ANT/EDI40 2020: 757-763 - [c50]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
- [c49]Mads Paulsen, Kai Nagel:
Large-Scale Assignment of Congested Bicycle Traffic Using Speed Heterogeneous Agents. ANT/EDI40 2019: 820-825 - [c48]Theresa Thunig, Robert Scheffler, Martin Strehler, Kai Nagel:
Optimization and simulation of fixed-time traffic signal control in real-world applications. ANT/EDI40 2019: 826-833 - [c47]Gregor Leich, Kai Nagel:
Improving speed and realism of an evolutionary minibus network design process. ANT/EDI40 2019: 834-839 - [c46]Kai Martins-Turner, Kai Nagel:
How Driving Multiple Tours Affects the Results of Last Mile Delivery Vehicle Routing Problems. ANT/EDI40 2019: 840-845 - [c45]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 - [c44]Dhirendra Singh, Lin Padgham, Kai Nagel:
Using MATSim as a Component in Dynamic Agent-Based Micro-Simulations. EMAS@AAMAS 2019: 85-105 - [c43]Joschka Bischoff, Francisco J. Márquez-Fernández, Gabriel Domingues-Olavarría, Michal Maciejewski, Kai Nagel:
Impacts of vehicle fleet electrification in Sweden - a simulation-based assessment of long-distance trips. MT-ITS 2019: 1-7 - [c42]Theresa Thunig, Kai Nagel:
Effects of user adaption on traffic-responsive signal control in agent-based transport simulations. MT-ITS 2019: 1-7 - 2018
- [c41]Joschka Bischoff, Ihab Kaddoura, Michal Maciejewski, Kai Nagel:
Simulation-based optimization of service areas for pooled ride-hailing operators. ANT/SEIT 2018: 816-823 - [c40]Ihab Kaddoura, Kai Nagel:
Using real-world traffic incident data in transport modeling. ANT/SEIT 2018: 880-885 - [c39]Nico Kühnel, Theresa Thunig, Kai Nagel:
Implementing an adaptive traffic signal control algorithm in an agent-based transport simulation. ANT/SEIT 2018: 894-899 - 2017
- [c38]Theresa Thunig, Kai Nagel:
The structure of user equilibria: Dynamic coevolutionary simulations vs. cyclically expanded networks. ANT/SEIT 2017: 648-655 - [c37]Joschka Bischoff, Kai Nagel:
Integrating explicit parking search into a transport simulation. ANT/SEIT 2017: 881-886 - [c36]Dominik Ziemke, Simon Metzler, Kai Nagel:
Modeling bicycle traffic in an agent-based transport simulation. ANT/SEIT 2017: 923-928 - [c35]Joschka Bischoff, Michal Maciejewski, Kai Nagel:
City-wide shared taxis: A simulation study in Berlin. ITSC 2017: 275-280 - [c34]Joschka Bischoff, Kai Nagel:
Impact assessment of dedicated free-floating carsharing parking. MT-ITS 2017: 727-732 - [c33]Theresa Thunig, Kai Nagel:
Towards a robust and wide-area traffic signal control for inner-city areas. MT-ITS 2017: 804-809 - [c32]Michal Maciejewski, Joschka Bischoff, Sebastian Hörl, Kai Nagel:
Towards a Testbed for Dynamic Vehicle Routing Algorithms. PAAMS (Workshops) 2017: 69-79 - 2016
- [c31]Ihab Kaddoura, Kai Nagel:
Agent-based Congestion Pricing and Transport Routing with Heterogeneous Values of Travel Time Savings. ANT/SEIT 2016: 908-913 - [c30]Theresa Thunig, Kai Nagel:
Braess's Paradox in an Agent-based Transport Model. ANT/SEIT 2016: 946-951 - [c29]Dominik Ziemke, Kai Nagel, Rolf Moeckel:
Towards an Agent-based, Integrated Land-use Transport Modeling System. ANT/SEIT 2016: 958-963 - [c28]Michael Zilske, Kai Nagel:
Software Architecture for a Transparent and Versatile Traffic Simulation. ABMUS@AAMAS 2016: 73-87 - 2015
- [c27]Michael Zilske, Kai Nagel:
A Simulation-based Approach for Constructing All-day Travel Chains from Mobile Phone Data. ANT/SEIT 2015: 468-475 - [c26]Amit Agarwal, Michael Zilske, K. Ramachandra Rao, Kai Nagel:
An Elegant and Computationally Efficient Approach for Heterogeneous Traffic Modelling Using Agent Based Simulation. ANT/SEIT 2015: 962-967 - 2014
- [c25]Daniel Röder, Kai Nagel:
Integrated Analysis of Commuters' Energy Consumption. ANT/SEIT 2014: 699-706 - [c24]Kai Nagel, Benjamin Kickhöfer, Johan W. Joubert:
Heterogeneous Tolls and Values of Time in Multi-agent Transport Simulation. ANT/SEIT 2014: 762-768 - [c23]Michael Zilske, Kai Nagel:
Studying the Accuracy of Demand Generation from Mobile Phone Trajectories with Synthetic Data. ANT/SEIT 2014: 802-807 - [c22]Lin Padgham, Kai Nagel, Dhirendra Singh, Qingyu Chen:
Integrating BDI Agents into a MATSim Simulation. ECAI 2014: 681-686 - 2013
- [c21]D. Grether, Kai Nagel:
Extensible Software Design of a Multi-Agent Transport Simulation. ANT/SEIT 2013: 380-388 - [c20]Andreas Neumann, Kai Nagel:
Passenger Agent and Paratransit Operator Reaction to Changes of Service Frequency of a Fixed Train Line. ANT/SEIT 2013: 803-808 - [c19]D. Grether, S. Fürbas, Kai Nagel:
Agent-based Modelling and Simulation of Air Transport Technology. ANT/SEIT 2013: 821-828 - [c18]Michal Maciejewski, Kai Nagel:
The Influence of Multi-agent Cooperation on the Efficiency of Taxi Dispatching. PPAM (2) 2013: 751-760 - 2012
- [c17]Joachim Fischer, Jens-Peter Redlich, Björn Scheuermann, Jochen H. Schiller, Mesut Günes, Kai Nagel, Peter Wagner, Markus Scheidgen, Anatolij Zubow, Ingmar Eveslage, Robert Sombrutzki, Felix Juraschek:
From Earthquake Detection to Traffic Surveillance - About Information and Communication Infrastructures for Smart Cities. SAM 2012: 121-141 - [c16]D. Grether, Andreas Neumann, Kai Nagel:
Simulation of Urban Traffic Control: A Queue Model Approach. ANT/MobiWIS 2012: 808-814 - 2011
- [c15]Michal Maciejewski, Kai Nagel:
Towards Multi-Agent Simulation of the Dynamic Vehicle Routing Problem in MATSim. PPAM (2) 2011: 551-560 - 2010
- [c14]Daniel Dressler, Gunnar Flötteröd, Gregor Lämmel, Kai Nagel, Martin Skutella:
Optimal Evacuation Solutions for Large-Scale Scenarios. OR 2010: 239-244 - 2009
- [c13]David Strippgen, Kai Nagel:
Multi-agent traffic simulation with CUDA. HPCS 2009: 106-114 - [c12]David Strippgen, Kai Nagel:
Using common graphics hardware for multi-agent traffic simulation with CUDA. SimuTools 2009: 62 - 2007
- [c11]Ana L. C. Bazzan, Denise de Oliveira, Franziska Klügl, Kai Nagel:
To Adapt or Not to Adapt - Consequences of Adapting Driver and Traffic Light Agents. Adaptive Agents and Multi-Agents Systems 2007: 1-14 - [c10]Ana L. C. Bazzan, Franziska Klügl, Kai Nagel:
Adaptation in Games with Many Co-evolving Agents. EPIA Workshops 2007: 195-206 - [c9]Johannes Illenberger, Gunnar Flötteröd, Kai Nagel:
Enhancing MATSim with capabilities of within-day re-planning. ITSC 2007: 94-99 - [c8]Gunnar Flötteröd, Kai Nagel:
High Speed Combined Micro/Macro Simulation of Traffic Flow. ITSC 2007: 1114-1119 - 2006
- [c7]Gunnar Flötteröd, Kai Nagel:
Modeling and Estimation of Combined Route and Activity Location Choice. ITSC 2006: 394-399 - 2004
- [c6]Christian Gloor, Pascal Stucki, Kai Nagel:
Hybrid Techniques for Pedestrian Simulations. ACRI 2004: 581-590 - [c5]Michael Balmer, Nurhan Cetin, Kai Nagel, Bryan Raney:
Towards Truly Agent-Based Traffic and Mobility Simulations. AAMAS 2004: 60-67 - 2002
- [c4]Kai Nagel:
Cellular Automata Models for Transportation Applications. ACRI 2002: 20-31 - [c3]Bryan Raney, Andreas Voellmy, Nurhan Cetin, Milenko Vrtic, Kai Nagel:
Towards a Microscopic Traffic Simulation of All of Switzerland. International Conference on Computational Science (1) 2002: 371-380 - 1998
- [c2]Riko Jacob, Madhav V. Marathe, Kai Nagel:
A Computational Study of Routing Algorithms for Realistic Transportation Networks. WAE 1998: 167-178 - 1996
- [c1]Kai Nagel, Marcus Rickert, Christopher L. Barrett:
Large Scale Traffic Simulations. VECPAR 1996: 380-402
Parts in Books or Collections
- 2009
- [p3]Michael Balmer, Marcel Rieser, Konrad Meister, David Charypar, Nicolas Lefebvre, Kai Nagel:
MATSim-T. Multi-Agent Systems for Traffic and Transportation Engineering 2009: 57-78 - 2005
- [p2]Fabrice Marchal, Kai Nagel:
Computation of Location Choice of Secondary Activities in Transportation Todels with Cooperative Agents. Applications of Agent Technology in Traffic and Transportation 2005: 153-164 - [p1]Christian Gloor, Duncan Cavens, Kai Nagel:
A Message-Based Framework for Real-World Mobility Simulations. Applications of Agent Technology in Traffic and Transportation 2005: 193-209
Editorship
- 2017
- [e1]Mohammad-Reza Namazi-Rad, Lin Padgham, Pascal Perez, Kai Nagel, Ana L. C. Bazzan:
Agent Based Modelling of Urban Systems - First International Workshop, ABMUS 2016, Held in Conjunction with AAMAS, Singapore, Singapore, May 10, 2016, Revised, Selected, and Invited Papers. Lecture Notes in Computer Science 10051, Springer 2017, ISBN 978-3-319-51956-2 [contents]
Informal and Other Publications
- 2015
- [i3]José R. Correa, Tobias Harks, Kai Nagel, Britta Peis, Martin Skutella:
Dynamic Traffic Models in Transportation Science (Dagstuhl Seminar 15412). Dagstuhl Reports 5(10): 19-34 (2015) - 2001
- [i2]Kai Nagel, Marcus Rickert:
Parallel implementation of the TRANSIMS micro-simulation. CoRR cs.CE/0105004 (2001) - 2000
- [i1]Kai Nagel, Marcus Rickert, Patrice M. Simon, Martin Pieck:
The dynamics of iterated transportation simulations. CoRR nlin.AO/0002040 (2000)
Coauthor Index
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