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Project Name

Institution(s) involved

Short DescriptionCurrent StateTime FrameContact

Optimization and network wide analysis of traffic signal control

VSP - TU Berlin

Analyzes the interaction between traffic signal control and users’

behavior from two perspectives: optimization of traffic assignment and signal control in a mathematical model (by BTU Cottbus) and evaluation of the impact of signal control optimization on travelers’ behavior using MATSim (by VSP).

Currently preparing to publish first results.


Theresa Thunig




MINTE ( - TU BerlinOptimal combined pricing for emission and congestion

We have tested simultaneous pricing for emission and congestion external costs on (a) Sioux Falls and (b) Munich, scenarios and compared the results with individual pricing schemes.

until 2016Amit Agarwal
Optimal Pricing Strategies Optimal Pricing Strategies (Public Transport and Private Transport), i.e. Dynamic and Agent-based Marginal Congestion Cost Pricing.  Ihab Kaddoura

eCab: Simulation-based system for the sustainable management of a fleet of electric taxicabs

VSP - TU Berlin


The goal is to (a) investigate possible ways of introducing electric taxicabs in Berlin, (b) devise efficient strategies for dispatching and charging taxis, and (c) estimate the outcomes in terms of sustainability.Currently, we are (a) optimizing the charging infrastructure based on TaxiBerlin's FCD, and (b) extending the algorithms to include smart scheduling of battery re-charging.February 2013 - January 2016Michal Maciejewski, Joschka Bischoff     Estimating a Germany-wide OD-Matrix for private car travelDeutsche BahnInvestigating in possible applications of MATSim within the planning processes of the DB. First assessment expected in march. Johannes Illenberger
IRP projectBUTO - Vrije Universiteit BrusselIntermodal Freight transport model to calculate external costs.  

Koen Mommens

Initial demand from mobile phone trajectoriesVSP - TU BerlinCreating Initial demand from mobile phone trajectories

Take a calibrated MATSim run; Put a mobile phone network coverage on top; Give agents a calling behavior; Collect an artificial mobile phone dataset.

Set up a new scenario with only the artificial mobile phone dataset and link counts to use: Create an expanded population, have each agent draw from possible realizations of its individual mobile phone trajectory; calibrate with cadyts. Compare to ground truth.

 Michael Zilske
Topdad IVT - ETH ZürichEU Project. Development of tools which will help businesses and regional governments find the best strategies to adapt to climate change. MATSim scenarios based on future weather scenarios given climate change to evaluate the impact on the transport system. Runs of different (extreme) weather scenarios are ongoing.October 2012 - September 2015

Francesco CiariPatrick Boesch

Catch-a-carIVT - ETH ZürichScientific supervision of a free-floating carsharing project in Basel. New mode choice models, with FF carsharing as alternative, will be estimated and implemented in MATSim.First report on the survey phase has been delivered. Beginning to analyze smart-phone traces and collecting the data to create a MATSim scenario for Basel.October 2014 - October 2016Francesco Ciari, Henrik Becker
Valuing Travel Time IVT - ETH ZürichAiming at expanding existing models for the number, type and sequence of out-of-home activities, elaborating time use, daily scheduling, stated choice results and value of time components for the region of Vienna and evaluating the resulting policy implications using an updated version of MATSim. 2014-2016 Basil Schmid
Post Car WorldIVT - ETH ZürichAnalysis of the mobility patterns in a non-car oriented world. Induced/suppressed demand estimations using surveys and MATSim scenarios. Running stated preferences surveys2014-2017Milos Balac
A generalized approach to population synthesis IVT - ETH ZürichCreate a robust and fast population synthesis tool to improve the overall quality of MATSim results. 20??-2015Kirill Müller
SCCER MobilityIVT - ETH Zürich In the first year we worked on Electric Vehicle Infrastructure pricing and are currently working on modelling trade-offs between Electric Vehicles and Conventional Vehicles using MATSim.


(could be extended 3 additional years).

Rashid Waraich
MATSim Book

VSP - TU Berlin

IVT - ETH Zürich

Senozon AG


Publisher evaluation.

Copyrights checking.

Finishing remaining issues in terms of content, in particular "Research Avenues"

2014-2015Andi Horni
NetCapIVT - ETH ZürichProvide background/methodologies to use MFDs as a measurement for traffic in urban areas. Exemplary travel demands provided with MATSim. An OSM-derived multimodal networks for MATSim has been generated.2012-2015Francesco CiariPatrick Boesch
Sioux FallsFCL SingaporeExtension of the Sioux Falls scenario with a finer OSM network including public transportation and improved accessibility. Addition of through and freight traffic in order to create congested traffic condition during peak hours.  Artem Chakirov
User preference heterogeneity (Economic Valuation)FCL SingaporeIn depth analysis of effects of value of time heterogeneity and different types of schedule delay heterogeneity among users. Comparison to the transport economics theory using a simple multi-modal corridor scenario.
 Artem Chakirov
Secondary activity schedulingFCL SingaporeWith established mandatory activities in people’s daily plans (rest, work, study), time planning, scheduling is primarily based on organizing flexible activities and trips during the given remaining time windows. This work develops a method to extract and model flexible activity patterns from real data, and to use them to make a massive number of activity chain predictions.  Sergio Ordonez
Distributed simulationFCL SingaporeA master-slave configuration for MATSim, where repeated replanning and plan evaluation of very large scenarios takes place on cheap slave nodes, passing plans to a master node executing agents' selected plans in QSim, and receiving TravelTimes from the master to update the meta-model (PSim) used for plan evaluation and scoring. Works on ethernet and StarCluster (Amazon EC2)  Pieter Fourie, Sergio Ordonez
Transit smart-card-driven MATSimFCL SingaporeDemand derived from transit smart card data drives a simplified simulation of transit operations, where stop-to-stop speeds are sampled from the (inferred) speeds experienced by buses in the actual network, eliminating the need to simulate car traffic.  Artem Chakirov, Alex Erath, Pieter Fourie, Sergio Ordonez
Activity-based Modeling Using Smart Card DataDepartment of Transportation Engineering, University of Seoul

In this work, Transit demand is generated by exploiting the smart card revealed daily transaction records. In the first step, trip segments are converted into trip chains followed by the INFERENCE OF ACTIVITY TYPES. A set of rules are defined by using socio-demographic profile (Household Travel Survey Data, 2010) to assign activity purpose. Daily itineraries of agents' are then converted into MATSim demand and calibrated with HHTSD.

  Atizaz Ali
      Waste collection in Cape TownISE - University of PretoriaTrying to model waste collection vehicles in MATSim based on actual GPS dataUsing map matching techniques in order to create MATSim routes for a subpopulation of waste collection vehicles Johan W. Joubert;
SMART-PT – Smart Adaptive Public Transport

VSP - TU Berlin

DTS - Poznan University of Technology

 European long-term project. Systematically analyze the discrepancy between end-user travel demand and existing urban transit supply. Uses minibus contrib. July 2014 - June 2016

 Andreas Neumann,Michal Maciejewski

Machbarkeitsstudie "Teilszenarien und Standardbusse"VSP - TU BerlinApplication of the minibus contrib to 10% scenarios, scenarios with full-size buses, and huge scenario areas.   Andreas Neumann
MAXess - Measuring accessibility in policy evaluation

ISE - University of Pretoria

VSP - TU Berlin

Calculate accessibilities (taking into account both land-use and transport system characteristics) at a disaggregate individual and household level based on open and freely available data and make results available through high resolution, open-source, adaptive maps to will allow the assessment of various planning endeavors. A new PhD student (Ms Masingita Vukeya) recently joined the project in the south-African team. Johan W. Joubert; Dominik Ziemke;
Sharing is saving - NFPIVT - ETH ZürichSolutions to limit the negative impacts of transportation, especially the reduction of energy. It focuses on collaborative mobility systems. Scenarios assuming their further diffusion are set up and evaluated with MATSimLiterature review is ongoing.2014-2017Francesco Ciari, Henrik Becker
D4D Orange ChallengeIVT - ETH ZürichUsing mobile phone data for spatial planning simulation and optimization technologies. MATSim plans are generated based on mobile phones data from Senegal. Work ended, evaluation pending2014Francesco Ciari
Integrated population synthesis and demand generation of large-scale scenariosFCL SingaporeA project for the Urban Redevelopment Authority of Singapore, to rapidly generate future population scenarios, along with resulting MATSim activity chains and travel demand.  Alex Erath, Pieter Fourie
MATSim model for StockholmKTH StockholmWork funded by two different projects. One is SMART-PT, supported by the EC and focusing on a model of the public transport system, and the other one is IHOP2, funded by the Swedish Road Agency and aiming to integrate the different existing Swedish demand and supply models in a flexible manner, using MATSim as a middle layerKTH is currently building a MATSim model for Stockholm, Gunnar Floetteroed


Project Name

Institution(s) involved

Short DescriptionTime FrameContact
Detaillierte EvaluationVSP - TU BerlinTesting an approach to iteratively calculate marginal emission exposure costs, and set internalizing prices accordingly.  It has been applied to the Munich scenario, and results can be found here: Benjamin
Estimating a Germany-wide OD-Matrix for private car travelDeutsche BahnThe aim of this project was to estimate a Germany-wide OD-matrix on a zonal structure that is comparable to the German zip codes. The OD-matrix was generated as a aggregation of a microscopic matsim scenario based on the German travel survey (MiD 2008) and calibrated against 2500 count stations. Johannes Illenberger


Dropped Projects

Project ideas which are dropped this month (because of rejected funding, lack of interesst, etc.)