MATSim model for Santiago de Chile
VSP - TU Berlin
Universidad de Chile
Creating a MATSim scenario for Santiago de Chile from open data
The first version of the scenario is now available online. It includes a car network based on OSM data, a population based on a detailed travel diary survey (~0.65% of the total population), and public transport supply data from GTFS which runs on a separate network.
There are no data restrictions for this scenario, so it can be used and improved by students and researchers.
For more information, please see https://svn.vsp.tu-berlin.de/repos/public-svn/matsim/scenarios/countries/cl/santiago/ and https://svn.vsp.tu-berlin.de/repos/public-svn/publications/vspwp/2016/16-02/
|MINTE (http://www.tu-berlin.de/index.php?id=146151)||VSP - TU Berlin|| Mitigating negative transport externalities in industrialised and industrialising countries Queue model is extended to depict the behaviour in mixed traffic conditions|
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.
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 analyzing simulation parameter and signal influences in small scenarios like Braess's paradox and the inner city of Cottbus, especially regarding route choice and travel time.
|Optimal Pricing Strategies|
Investigating the use of simulated dynamic pricing to optimize transport systems; Simulation-based computation and internalization of external effects
|Finalizing a study where tolls are simultaneously set based on congestion and noise cost. Investigating and comparing different congestion pricing approaches.||Ihab Kaddoura|
Simulation of demand responsive transport
|VSP - TU Berlin||Simulation of of DRT services without pre-bookings and different fleet sizes using the DVRP module. The DRT optimizer allows both the simulation of shared taxi-like as well as stop based PRT simulations.||February 2017 – November 2017||Joschka Bischoff|
|IRP project||BUTO - Vrije Universiteit Brussel||Intermodal Freight transport model to calculate external costs.|
|Initial demand from mobile phone trajectories||VSP - TU Berlin||Creating 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.
|Valuing Travel Time ||IVT - ETH Zürich||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.||2014-2016|| Basil Schmid|
|Post Car World||IVT - ETH Zürich||Analysis of the mobility patterns in a non-car oriented world. Induced/suppressed demand estimations using surveys and MATSim scenarios.|| |
Third wave of survey completed. Data clean-up and modeling are under way, followed with the creation of MATSim PostCarWorld scenarios
|SCCER Mobility||IVT - ETH Zürich|
|Sioux Falls||IVT - ETH Zürich||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.||-||Sebastian Hörl|
|Activity-based Modeling Using Smart Card Data||Department 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.
|Waste collection in Cape Town||ISE - University of Pretoria||Trying to model waste collection vehicles in MATSim based on actual GPS data||Using map matching techniques in order to create MATSim routes for a subpopulation of waste collection vehicles|
|Machbarkeitsstudie "Teilszenarien und Standardbusse"||VSP - TU Berlin||Application of the minibus contrib to 10% scenarios, scenarios with full-size buses, and huge scenario areas.|
|MAXess - Measuring accessibility in policy evaluation|
ISE - University of Pretoria
VSP - TU Berlin
IVT - ETH Zürich
|Calculate accessibilities (taking into account both land-use and transport system characteristics) at a disaggregate level based on freely available data and make results available through high resolution, open-source, adaptive maps to allow the assessment of planning schemes.|| Our geoserver is now set up and hosts initial results; see http://geo.vsp.tu-berlin.de|
|Sharing is saving - NFP||IVT - ETH Zürich||Solutions to limit the negative impacts of transportation, especially the reduction of energy consumption. It focuses on collaborative mobility systems. Scenarios assuming their further diffusion are set up and evaluated with MATSim||Scenarios are being created based on a literature review, first assessments with MATSim are being run||2014-2017|
|Autonomous Vehicles - SNF||IVT - ETH Zürich||Quantitatively study with MATSim what the arrival of autonomous vehicles will mean for the transport system and demand. Provide libraries to simulate autonomous cars in MATSim. ||Creation of possible future AVs scenarios based on qualitative evaluations and expert knowledge||2015 - 2018|
|Integrated population synthesis and demand generation of large-scale scenarios||FCL Singapore||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 Stockholm||Work 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 IHOP3, 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 layer||KTH is currently building a MATSim model for Stockholm,||Gunnar Floetteroed|
|Creating a MATSim Model for the City of Stuttgart||University of Würzburg ||Variance in traffic streams based on urban development dynamics utilizing the example of redensification analyses within the City of Stuttgart: analysis of requirements and decisions for traffic mode choice||Alteration of the urban mobility system when newly-built residential or industrial areas are connected to the transport system using the example of the Rosensteinviertel, Stuttgart (the redundant area from the station project Stuttgart 21). The aim of this research project is to understand quantitatively the existing mobility system in dependence to recent and future urban developments with the goal of understanding the detailed relationships between urban development, building utilization and traffic mode choice utilizing an agent-based model including activity chains. The available data are VISUM-data from a traffic model combined with survey data who will be utilized for demand generation and a few other data sources for socio-demographic parameters. After setting up the Status-Quo Model for the city, different scenarios will be conducted. The main focus will be on the variance in traffic mode choice in dependence of different scenarios. For the development of the urban scenarios, architects and urban planners, also from the municipality of Stuttgart, will be firstname.lastname@example.org|
|Transit Optimization||VSP - TU Berlin||An agent-based evolutionary approach for the user-oriented optimization of complex public transit systems http://www.vsp.tu-berlin.de/projects/laufende_projekte/transit_optimization/.|
| Economically consistent simulation of travel behavior with MATSim (IHOP3)||KTH Stockholm||The question addressed in the present project is if and how it is possible to perform consistent CBA with this model system.||We have been developing a strategic transport model system for Stockholm. An uncalibrated but functional prototype is now available. || Gunnar Floetteroed|
|Model Germany||senozon||Together with microm (http://www.microm-online.de), Senozon builds a multimodal MATSim model of all of Germany.||The model currently gets updated with the latest data about infrastructure and population, as well as some minor model improvements after having some experience with the first model built last year.||2017|
|Model Austria||senozon||Senozon is building a multimodal MATSim model covering all of Austria.|
A first model covering all of Austria was built during summer 2016 and is now in productive use. An update with the latest data is planned for later in 2017.
|Investigation of the accessibility of the social infrastructure and the ways to improve it.|| ITMO University OTSlab ||A MATSim model of Saint-Petersburg will be created as a part of a “SmartCity” project. An extension with UrbanSim integration Is possible. ||The PT Smartcard data is used for the generation of the initial demand. The car traffic, subway, tram and urban rail networks are simulated. For the first iteration of the scenario the surface transit (buses, trolleybuses) will be replaced by the synthetic network created using the minibus extension, as there is no GTFS data available for Saint-Petersburg. The synthetic network to be compared with the existing one. The accessibility of the social infrastructure will be analyzed for different modes of transport. The ways to improve the accessibility by public transit will be investigated at the further step of the research. The other possible extension is the integration with an UrbanSim model of the city. ||email@example.com Jaroslav Smirnov firstname.lastname@example.org Timofey Volotskiy email@example.com|
|The global MATSim scenario for the FIFA World Cup 2018 in Russia||ITMO University OTSlab || ITMO University OTSlab The model creates optimal schedule for the charter and additional flights, calculates the capacity bottlenecks of the railway stations, airport terminals and runways of the host cities. ||The scenario covers more than 6 million intercity or international trips during the period of more than 40 days in one simulation. The novel behavior model has been implemented, which covers the behavior of the international spectators of large event and is based on the Markov chains. The scheduled flights and railway departures are parsed from the internet database and simulated in the scenario along with the car traffic. To accomplish the very specific tasks of the transportation masterplan various modifications and extension were written for the MATSim platform, which showcases its great flexibility and versatility. For instance, the existing RAPTOR routing module was used for transit and was rewritten to simulate the intercity transit tickets buyout and to allow for computationally efficient complex routing of agents with several transfers. ||firstname.lastname@example.org Jaroslav Smirnov email@example.com Timofey Volotskiy firstname.lastname@example.org|
|The analysis of the proposed BRT corridors in Moscow based on mobile phone data||ITMO University OTSlab ||The pilot research project aimed to showcase the ability to create an initial demand for MATSim scenario from the aggregated mobilephone data for a large city.||The goal is to compare 9 proposed BRT corridors based on their attractiveness to the PT and car users. The mobile phone user’s travel data for the period of 1 month was obtained from the partner (Peterservis). The OD-Matrix contains information about the number of residents, starting the trip in the 30-minute timeframe from one administrative district to another. For each trip from the OD-matrix 1 agent with simple plan was generated. The scenario covers 1 working day. The algorithm to create the separated bus lanes was created. The ridership on 9 proposed lines was compared for several scenarios (cars and BRT, subway and BRT etc.). The sensitivity analysis for the optimal frequency and the capacity of BRT buses was carried email@example.com Jaroslav Smirnov firstname.lastname@example.org Timofey Volotskiy email@example.com|
|Generic Car Sharing||IIT-CNR, Pisa|
A generic software framework for car sharing modelling in order to:
- Separate the mobility simulation of the car sharing system from its operational model.
- Easily customize and extend the framework.
While the components of the operational model can be aggregated into the following features:
- Station: Conventional & free-floating stations with various power distribution models
- Vehicle: Conventional, electric, purpose-specific vehicle models
- Booking: Early booking and immediate booking
- Rental: Offers, Pricing schemes, monetary incentives (e.g., user-based relocation, free-floating trips, multiple offers)
- Membership: Subscription & User-choice models
- Trips: Direct, Multiple Stops
- Relocation: User-based and operator based relocation policies
|+ Framework: Interface for user/operator based relocation + Project: Designing the operational model of the ESPRIT system (http://www.esprit-transport-system.eu/) as well as the study of its impact (such modal share etc.) upon its deployment in specific study areas.||Ongoing|
Haitam M. Laarabi
|New Data for Social Leisure Travel Forecasting||IVT - ETH Zürich||A data collection effort to improve models of joint leisure activity involvement, and build those models into MATSim to test their ability to improve the forecasts of leisure trips.|
- first stage of survey designed and ready to go
- got access to passively collected data to reconstruct joint activity schedules over one year
|Induced Demand by autonomous vehicles: An Assessment|
IVT - ETH Zürich
Assessment of the induced demand effects of autonomous vehicles in the Zurich area
|Ongoing calibraton of the scenario and development of the AV simulation, starting surveys on behavioral aspects of AV usage||2017-18||Sebastian Hörl|
|Île-de-France Scenario||IVT - ETH Zürich||Development of basic MATSIm Scenario for the Île-de-France region||Population Synthesis||2016-17||Sebastian Hörl|
|Big Data Transport Models||IVT - ETH Zürich||The project will look at using data collected by a mobile telephone operator to extract information relevant to building and calibrating a MATSim scenario, with an application to Road Pricing.|
In the process of designing and extracting the relevant datasets from
the raw GSM network data
|Data Fusion MATSim||FCL Engaging Mobility||Create a MATSim scenario from diverse urban data sources including travel survey, mobile phone and transit smart card data, points of interest, etc.||Activity sequence generation using probabilistic graphical models||2017-2020|
Responsive Urban Design for Driverless Mobility
|FCL Engaging Mobility||The Engaging Mobility team has recently embarked upon a collaborative research project to evaluate the feasibility of AV policies and investigate their land and transport implications, through an iterative design-simulation-design process.||First design workshop done. Population synthesis for 2030 ongoing.||2017-2020|
|Multi-day MATSim and secondary activity scheduling||FCL Engaging Mobility||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.||Creating multi-day contrib and simple multi-day scenario||2014 onwards|
|Transit smart-card-driven MATSim||FCL Engaging Mobility||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.||Pieter presented his thesis in Zurich. Book chapter in Public Transport Planning with Smart Card Data||2014 onwards|
|Distributed simulation||FCL Engaging Mobility||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)||Updated to work 'out-of-the-box' on matsim example scenarios||2014 onwards|