Microscopic Traffic Modeling on Parallel High Performance Computers. - Kai Nagel; A. Schleicher (Parallel Comput., 1994)

High-speed microsimulations of traffic flow. - Kai Nagel (1995)

Large Scale Traffic Simulations. - Kai Nagel; Marcus Rickert; Christopher L. Barrett (VECPAR, 1996)

Comment on: B. S. Kerner and H. Rehborn, experimental properties of complexity in traffic flow, physical review E 53(5) R4275 (1996). - Kai Nagel (Complex., 1996)

A Computational Study of Routing Algorithms for Realistic Transportation Networks. - Riko Jacob; Madhav V. Marathe; Kai Nagel (ACM J. Exp. Algorithmics, 1999)

The dynamics of iterated transportation simulations - Kai Nagel; Marcus Rickert; Patrice M. Simon; Martin Pieck (CoRR, 2000)

Dynamic traffic assignment on parallel computers in TRANSIMS. - Marcus Rickert; Kai Nagel (Future Gener. Comput. Syst., 2001)

Traffic simulation. - Arnoud Visser; Kai Nagel (Future Gener. Comput. Syst., 2001)

Parallel implementation of the TRANSIMS micro-simulation. - Kai Nagel; Marcus Rickert (Parallel Comput., 2001)

Cellular Automata Models for Transportation Applications. - Kai Nagel (ACRI, 2002)

Towards a Microscopic Traffic Simulation of All of Switzerland. - Bryan Raney; Andreas Voellmy; Nurhan Cetin; Milenko Vrtic; Kai Nagel (International Conference on Computational Science (1), 2002)

Still Flowing: Approaches to Traffic Flow and Traffic Jam Modeling. - Kai Nagel; Peter Wagner 003; Richard Woesler (Oper. Res., 2003)

Hybrid Techniques for Pedestrian Simulations. - Christian Gloor; Pascal Stucki; Kai Nagel (ACRI, 2004)

Towards Truly Agent-Based Traffic and Mobility Simulations. - Michael Balmer; Nurhan Cetin; Kai Nagel; Bryan Raney (AAMAS, 2004)

Iterative route planning for large-scale modular transportation simulations. - Bryan Raney; Kai Nagel (Future Gener. Comput. Syst., 2004)

Large-Scale Multi-Agent Simulations for Transportation Applications. - Michael Balmer; Kai Nagel; Bryan Raney (J. Intell. Transp. Syst., 2004)

A Message-Based Framework for Real-World Mobility Simulations. - Christian Gloor; Duncan Cavens; Kai Nagel (Applications of Agent Technology in Traffic and Transportation, 2005)

Computation of Location Choice of Secondary Activities in Transportation Todels with Cooperative Agents. - Fabrice Marchal; Kai Nagel (Applications of Agent Technology in Traffic and Transportation, 2005)

Modeling and Estimation of Combined Route and Activity Location Choice. - Gunnar Flötteröd; Kai Nagel (ITSC, 2006)

To Adapt or Not to Adapt - Consequences of Adapting Driver and Traffic Light Agents. - Ana L. C. Bazzan; Denise de Oliveira; Franziska Klügl; Kai Nagel (Adaptive Agents and Multi-Agents Systems, 2007)

Adaptation in Games with Many Co-evolving Agents. - Ana L. C. Bazzan; Franziska Klügl; Kai Nagel (EPIA Workshops, 2007)

High Speed Combined Micro/Macro Simulation of Traffic Flow. - Gunnar Flötteröd; Kai Nagel (ITSC, 2007)

Enhancing MATSim with capabilities of within-day re-planning. - Johannes Illenberger; Gunnar Flötteröd; Kai Nagel (ITSC, 2007)

Preliminary Results of a Multiagent Traffic Simulation for Berlin. - Ulrike Beuck; Kai Nagel; Marcel Rieser; David Strippgen; Michael Balmer (Adv. Complex Syst., 2007)

MATSim-T. - Michael Balmer; Marcel Rieser; Konrad Meister; David Charypar; Nicolas Lefebvre; Kai Nagel (Multi-Agent Systems for Traffic and Transportation Engineering, 2009)

Multi-agent traffic simulation with CUDA. - David Strippgen; Kai Nagel (HPCS, 2009)

Using common graphics hardware for multi-agent traffic simulation with CUDA. - David Strippgen; Kai Nagel (SimuTools, 2009)

Optimal Evacuation Solutions for Large-Scale Scenarios. - Daniel Dressler; Gunnar Flötteröd; Gregor Lämmel; Kai Nagel; Martin Skutella (OR, 2010)

Towards Multi-Agent Simulation of the Dynamic Vehicle Routing Problem in MATSim. - Michal Maciejewski; Kai Nagel (PPAM (2), 2011)

A Model of Risk-Sensitive Route-Choice Behavior and the Potential Benefit of Route Guidance. - Johannes Illenberger; Gunnar Flötteröd; Kai Nagel (IEEE Trans. Intell. Transp. Syst., 2011)

Bayesian Demand Calibration for Dynamic Traffic Simulations. - Gunnar Flötteröd; Michel Bierlaire; Kai Nagel (Transp. Sci., 2011)

From Earthquake Detection to Traffic Surveillance - About Information and Communication Infrastructures for Smart Cities. - Joachim Fischer; Jens-Peter Redlich; Björn Scheuermann 001; Jochen H. Schiller; Mesut Günes; Kai Nagel; Peter Wagner 003; Markus Scheidgen; Anatolij Zubow; Ingmar Eveslage; Robert Sombrutzki; Felix Juraschek (SAM, 2012)

Simulation of Urban Traffic Control: A Queue Model Approach. - D. Grether; Andreas Neumann 004; Kai Nagel (ANT/MobiWIS, 2012)

Agent-based Modelling and Simulation of Air Transport Technology. - D. Grether; S. Fürbas; Kai Nagel (ANT/SEIT, 2013)

Extensible Software Design of a Multi-Agent Transport Simulation. - D. Grether; Kai Nagel (ANT/SEIT, 2013)

Passenger Agent and Paratransit Operator Reaction to Changes of Service Frequency of a Fixed Train Line. - Andreas Neumann 004; Kai Nagel (ANT/SEIT, 2013)

The Influence of Multi-agent Cooperation on the Efficiency of Taxi Dispatching. - Michal Maciejewski; Kai Nagel (PPAM (2), 2013)

Heterogeneous Tolls and Values of Time in Multi-agent Transport Simulation. - Kai Nagel; Benjamin Kickhöfer; Johan W. Joubert (ANT/SEIT, 2014)

Integrated Analysis of Commuters' Energy Consumption. - Daniel Röder; Kai Nagel (ANT/SEIT, 2014)

Studying the Accuracy of Demand Generation from Mobile Phone Trajectories with Synthetic Data. - Michael Zilske; Kai Nagel (ANT/SEIT, 2014)

Integrating BDI Agents into a MATSim Simulation. - Lin Padgham; Kai Nagel; Dhirendra Singh; Qingyu Chen (ECAI, 2014)

An Elegant and Computationally Efficient Approach for Heterogeneous Traffic Modelling Using Agent Based Simulation. - Amit Agarwal 003; Michael Zilske; K. Ramachandra Rao; Kai Nagel (ANT/SEIT, 2015)

A Simulation-based Approach for Constructing All-day Travel Chains from Mobile Phone Data. - Michael Zilske; Kai Nagel (ANT/SEIT, 2015)

Dynamic Traffic Models in Transportation Science (Dagstuhl Seminar 15412). - José R. Correa; Tobias Harks; Kai Nagel; Britta Peis; Martin Skutella (Dagstuhl Reports, 2015)

Agent-based Congestion Pricing and Transport Routing with Heterogeneous Values of Travel Time Savings. - Ihab Kaddoura; Kai Nagel (ANT/SEIT, 2016)

Braess's Paradox in an Agent-based Transport Model. - Theresa Thunig; Kai Nagel (ANT/SEIT, 2016)

Towards an Agent-based, Integrated Land-use Transport Modeling System. - Dominik Ziemke; Kai Nagel; Rolf Moeckel (ANT/SEIT, 2016)

Software Architecture for a Transparent and Versatile Traffic Simulation. - Michael Zilske; Kai Nagel (ABMUS@AAMAS, 2016)

An Assignment-Based Approach to Efficient Real-Time City-Scale Taxi Dispatching. - Michal Maciejewski; Joschka Bischoff; Kai Nagel (IEEE Intell. Syst., 2016)

Integrating explicit parking search into a transport simulation. - Joschka Bischoff; Kai Nagel (ANT/SEIT, 2017)

The structure of user equilibria: Dynamic coevolutionary simulations vs. cyclically expanded networks. - Theresa Thunig; Kai Nagel (ANT/SEIT, 2017)

Modeling bicycle traffic in an agent-based transport simulation. - Dominik Ziemke; Simon Metzler; Kai Nagel (ANT/SEIT, 2017)

City-wide shared taxis: A simulation study in Berlin. - Joschka Bischoff; Michal Maciejewski; Kai Nagel (ITSC, 2017)

Impact assessment of dedicated free-floating carsharing parking. - Joschka Bischoff; Kai Nagel (MT-ITS, 2017)

Towards a robust and wide-area traffic signal control for inner-city areas. - Theresa Thunig; Kai Nagel (MT-ITS, 2017)

Towards a Testbed for Dynamic Vehicle Routing Algorithms. - Michal Maciejewski; Joschka Bischoff; Sebastian Hörl; Kai Nagel (PAAMS (Workshops), 2017)

Simulation-based optimization of service areas for pooled ride-hailing operators. - Joschka Bischoff; Ihab Kaddoura; Michal Maciejewski; Kai Nagel (ANT/SEIT, 2018)

Using real-world traffic incident data in transport modeling. - Ihab Kaddoura; Kai Nagel (ANT/SEIT, 2018)

Implementing an adaptive traffic signal control algorithm in an agent-based transport simulation. - Nico Kühnel; Theresa Thunig; Kai Nagel (ANT/SEIT, 2018)

Improving speed and realism of an evolutionary minibus network design process. - Gregor Leich; Kai Nagel (ANT/EDI40, 2019)

How Driving Multiple Tours Affects the Results of Last Mile Delivery Vehicle Routing Problems. - Kai Martins-Turner; Kai Nagel (ANT/EDI40, 2019)

Large-Scale Assignment of Congested Bicycle Traffic Using Speed Heterogeneous Agents. - Mads Paulsen; Kai Nagel (ANT/EDI40, 2019)

Optimization and simulation of fixed-time traffic signal control in real-world applications. - Theresa Thunig; Robert Scheffler 001; Martin Strehler 001; Kai Nagel (ANT/EDI40, 2019)

The MATSim Open Berlin Scenario: A multimodal agent-based transport simulation scenario based on synthetic demand modeling and open data. - Dominik Ziemke; Ihab Kaddoura; Kai Nagel (ANT/EDI40, 2019)

Using MATSim as a Component in Dynamic Agent-Based Micro-Simulations. - Dhirendra Singh; Lin Padgham; Kai Nagel (EMAS@AAMAS, 2019)

Impacts of vehicle fleet electrification in Sweden - a simulation-based assessment of long-distance trips. - Joschka Bischoff; Francisco J. Márquez-Fernández; Gabriel Domingues-Olavarría; Michal Maciejewski; Kai Nagel (MT-ITS, 2019)

Effects of user adaption on traffic-responsive signal control in agent-based transport simulations. - Theresa Thunig; Kai Nagel (MT-ITS, 2019)

Bicycle traffic and its interaction with motorized traffic in an agent-based transport simulation framework. - Dominik Ziemke; Simon Metzler; Kai Nagel (Future Gener. Comput. Syst., 2019)

Autonomous Vehicles and their Impact on Parking Search. - Joschka Bischoff; Michal Maciejewski; Tilmann Schlenther; Kai Nagel (IEEE Intell. Transp. Syst. Mag., 2019)

The impact of pricing and service area design on the modal shift towards demand responsive transit. - Ihab Kaddoura; Gregor Leich; Kai Nagel (ANT/EDI40, 2020)

Electrification of Urban Freight Transport - a Case Study of the Food Retailing Industry. - Kai Martins-Turner; Alexander Grahle; Kai Nagel; Dietmar Göhlich (ANT/EDI40, 2020)

The effect of unexpected disruptions and information times on public transport passengers: a simulation study. - Sebastian Alexander Müller; Gregor Leich; Kai Nagel (ANT/EDI40, 2020)

Expanding the analysis scope of a MATSim transport simulation by integrating the FEATHERS activity-based demand model. - Dominik Ziemke; Luk Knapen; Kai Nagel (ANT/EDI40, 2021)

Enhanced Emission Calculation for Freight Transport. - Thomas Gable; Kai Martins-Turner; Kai Nagel (ANT/EDI40, 2022)

Creating an agent-based long-haul freight transport model for Germany. - Chengqi Lu; Kai Martins-Turner; Kai Nagel (ANT/EDI40, 2022)

Simulation-based investigation of transport scenarios for Hamburg. - Tilmann Schlenther; Peter Wagner 003; Gregor Rybczak; Kai Nagel; Laura Bieker-Walz; Michael Ortgiese (ANT/EDI40, 2022)

Optimization of demand-responsive transport: The rolling horizon approach. - Chengqi Lu; Michal Maciejewski; Hao Wu; Kai Nagel (ANT/EDI40, 2023)

An annealing based approach to informed mode choice in agent-based transport simulations. - Christian Rakow; Kai Nagel (ANT/EDI40, 2023)

Spillback Changes the Long-Term Behavior of Dynamic Equilibria in Fluid Queuing Networks. - Theresa Ziemke; Leon Sering; Kai Nagel (ATMOS, 2023)

Efficient operation of demand-responsive transport (DRT) systems: Active requests rejection. - Chengqi Lu; Sapan Tiwari; Neema Nassir; Kai Nagel (ANT/EDI40, 2024)

Road network free flow speed estimation using microscopic simulation and point-to-point travel times. - Christian Rakow; Kai Nagel (ANT/EDI40, 2024)

Extension of an agent-based simulation for the optimized allocation of freight requests to differently structured supply chains. - Niclas Richter; Kai Martins-Turner; Kai Nagel (ANT/EDI40, 2024)

Agent-based modeling of residential parking zones in Leipzig. - Gregor Rybczak; Simon Meinhardt; Tilmann Schlenther; Christian Rakow; Dominik Ziemke; Kai Nagel (ANT/EDI40, 2024)

Investigating the impact of stop network designs on DRT operation. - Dariush Tamleh; Tilmann Schlenther; Kai Nagel (ANT/EDI40, 2024)

Real-Time Routing in Traffic Simulations: A Distributed Event Processing Approach. - Paul Heinrich; Janek Laudan; Kai Nagel (ISPDC, 2024)

High-Performance Simulations for Urban Planning: Implementing Parallel Distributed Multi-Agent Systems in MATSim. - Janek Laudan; Paul Heinrich; Kai Nagel (ISPDC, 2024)

Comparing GPS and cell-based mobile phone data to identify activity participation during the COVID-19 pandemic. - Sebastian Alexander Müller; Sydney Paltra; Jakob Rehmann; Ricardo Ewert; Kai Nagel (EPJ Data Sci., 2024)

Showing the Feasibility of Electric Waste Collection Vehicles in Rural Areas: A Case Study in the Vulkaneifel District, Germany. - Ricardo Ewert; Philip Cuong Minh Nguyen; Kai Nagel (ANT/EDI40, 2025)

Modeling the Transportation Impact of Cycle Highways: A Case Study for Leipzig, Germany. - Simon Meinhardt; Hans-Karl Bartholdtsen; Kai Nagel (ANT/EDI40, 2025)