|Estimating a Germany-wide OD-Matrix for private car travel||Investigating in possible applications of MATSim within the planning processes of the DB. First assessment expected in march.||Johannes Illenberger|
|Emission contrib||The emission modeling tool is now ready for use by external researchers; Javadoc has been updated and now includes rules how to export HBEFA data into the required text files (see matsim.org/javadoc); we are currently working on a Jackcess integration for the HBEFA database.||Benjamin|
|Detaillierte Evaluation||We tested 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: https://svn.vsp.tu-berlin.de/repos/public-svn/publications/vspwp/2014/14-09/||Benjamin|
|MINTE (http://www.tu-berlin.de/index.php?id=146151)||We have tested simultaneous pricing for emission and congestion external costs on Sioux Falls (South Dakota, US) scenario and compared the results with individual pricing schemes.||Amit Agarwal|
|Optimal Pricing Strategies||Optimal Pricing Strategies (Public Transport and Private Transport), i.e. Dynamic and Agent-based Marginal Congestion Cost Pricing.||firstname.lastname@example.org|
eCab: Simulation-based system for the sustainable management of a fleet of electric taxicabs
A number of online taxi dispatching algorithms have been proposed, implemented and benchmarked (see:
http://www.vsp.tu-berlin.de/publications/vspwp/). Currently, we are extending the algorithms to include smart scheduling of battery re-charging.
|Michal Maciejewski, email@example.com|
Allows for simulation of dynamic routing processes for a wide range of transport services (taxis, shared taxis, courier services etc.; immediate and advance requests; online vehicle tracking and diversion; and many other features). Our current focus is on improving the efficiency of the implemented shortest paths search.
|IRP project||Intermodal Freight transport model to calculate external costs.|
|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.
|Topdad||EU 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 are ongoing. Closes October 2015.|
|Catch-a-car||Scientific 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 survey phase over. Ends in 2016.||Francesco Ciari, firstname.lastname@example.org|
|Valuing Travel Time||Aiming 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.||email@example.com, firstname.lastname@example.org|
|Post Car World||Analysis of the mobility patterns in a non-car oriented world. Induced/suppressed demand estimations using surveys and MATSim scenarios. Ends in 2017||Milos Balac|
|A generalized approach to population synthesis||Create a robust and fast population synthesis tool to improve the overall quality of MATSim results. Closing in few months||Kirill Müller|
|SCCER Mobility||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. Ends in 2017 (could be extended 3 additional years).||email@example.com|
|MATSim Book||First editing round is ongoing. Preparing SNF publication grant proposal.||Andi Horni|
|NetCap||Provide background/methodologies to use MFDs as a measurement for traffic in urban areas. Exemplary travel demands provided with MATSim. Currently developing of algorithms to automatically produce OSM-derived multimodal networks for MATSim. Ends springtime 2015||Francesco Ciari, firstname.lastname@example.org|
|Sioux Falls||Extension 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)||In 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 scheduling||With 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 simulation||A 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 MATSim||Demand 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 Data|
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.
|Minibus contrib||There is a new contrib based on the PhD thesis of Andreas Neumann, see http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:83-opus4-53866||Andreas Neumann|
|SMART-PT – Smart Adaptive Public Transport||European long-term project. Systematically analyze the discrepancy between end-user travel demand and existing urban transit supply. Uses minibus contrib.||Andreas Neumann|
|Machbarkeitsstudie "Teilszenarien und Standardbusse"||Application of the minibus contrib to 10% scenarios, scenarios with full-size buses, and huge scenario areas.||Andreas Neumann|
|MAXess - Measuring accessibility in policy evaluation||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) joined the project in the south-African team.||Johan W. Joubert; Dominik Ziemke;|
|Sharing is saving - NFP||Solutions 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 MATSim. Just started||Francesco Ciari, email@example.com|
|D4D Orange Challenge||Using mobile phone data for spatial planning simulation and optimization technologies. MATSim plans are generated based on mobile phones data from Senegal. Work done, evaluation pending||Francesco Ciari|
|Integrated population synthesis and demand generation of large-scale scenarios||A 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 Stockholm||KTH is currently building a MATSim model for Stockholm, based on funding from 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 firstname.lastname@example.org|