version 0.21.0 released

Dear friends and colleagues,
we proudly present the latest release of SUMO.

The major enhancements include:

) Support for pedestrian dynamics:
Integrated into the previously existing inter-modality model, pedestrians may now have own lanes and use a variable dynamics model to move. Uncontrolled as well as controlled crossings are supported and tools from the suite (mainly netconvert) have been extended to support the new structures accordingly. More information can be found here.
) Support for Amitran file exchange formats:
The Amitran project defined a set of exchange formats for road networks, O/D-matrices, vehicular trajectories, and network states. These file types are now supported by the sumo applications.

) A new emission model has been added to SUMO that is based on the HBEFA v3.1 database. (see HBEFA3)
A slightly more comprehensive list of changes is given below, a complete list can be found at the full Changelog

Bugfixes
- Simulation
– The vehicle class {{XML|ignoring}} now properly ignores edge permissions and is allowed to drive anywhere.
– Fix to the computation of the expected time at which vehicles leave an intersection. This results in a minor increase in junction throughput.

- SUMO-GUI
– The time shown in the gui now matches the time found in simulation outputs for the shown vehicle positions.

Enhancements
- Simulation
– Added improved capabilities for pedestrian simulation
– Added option to allow overtaking on the right
– Added option to randomize departure times and for adding flows with randomly distributed departures
– Vehicles with a specified vClass will now get appropriate default values for some of their parameters
– the option –scale can now also handle values > 1 and inserts more vehicles in this case
– added HBEFA3 emission model
– added outputs conforming to the Amitran standards
- SUMO-GUI
– Lanes are now drawn with smooth shapes regardless of geometry (fixed white gaps at corners)
- NETCONVERT
– Added improved capabilities for pedestrian simulation
– Added improved heuristic for importing traffic lights from OSM data
– Can now set a custom junction shape
– can write networks in the Amitran format
- DUAROUTER
– trips and flows now support specifying intermediate edges to use
- OD2TRIPS
– can now read OD matrices in Amitran format
- Tools
– randomTrips.py gained support for pedestrian simulation
– convert almost arbitrary XML outputs (with a given schema) to CSV and protobuf

Other

- Miscellaneous
– Some vClass were added and others renamed. Old definitions will continue to work but some will cause deprecation warnings.

We thank all contributors and wish you much fun with the new release.

All the best,
Jakob, Michael, Marek, Daniel and Melanie

MT-ITS 2015 – call for papers

From MT-ITS (on Wednesday, the 21st of May 2014):

 

Dear Professor!

after the successful meetings in Rome (2009), in Leuven (2011) and in Dresden (2013) we are very pleased to inform you that the 4th International Conference on Models and Technologies for Intelligent Transport Systems (MT-ITS) will be held in Budapest from the 3rd June to 5th June 2015.

The MT-ITS 2015 conference is organized by the Budapest University of Technology and Economics (BME) and its topics will include many fields of transportation (urban, road, rail, air, water and logistics).

We are pleased to announce the Call for Papers of the MT-ITS 2015 conference, and the website of the conference:

http://mt-its2015.bme.hu/

We are looking forward to your see you in Budapest!

Best regards,

Domokos Esztergár-Kiss (international project coordinator) Dénes Válóczi (local organization) János Tóth (head of department, Transport Technology and Economics) István Varga (dean of faculty, Transportation Engineering and Vehicle Engineering)

CFP Summer School on Autonomous Driving in the Internet of Cars

From Jérôme Härri (Monday, the 26th of May 2014):

—————————————————————————————————————————————-

Call for Student Posters

Summer School on Autonomous Driving in the Internet of Cars

jointly organized by BMW R&D, EURECOM and TU Munich,

with the support of the Bayerisch-Französische Hochschulzentrum (BFHZ),

the Bureau de Coopération Universitaire de Munich (BCU),

and the Franco-German University (pending)

July 27 August 1st, 2014

Venue: Tegernsee, Bavaria, Germany

http://www.bmwsummerschool.com/

Submission Deadline (extended): *June 8th 2014*

Autonomous driving is a paramount endeavor for automotive industry leaders such as BMW. Moving towards fully-automated driving, the advantages in driver comfort and safety are obvious. Complex challenges arise from technological prerequisites: enhanced and cooperative data processing, data security, human machine interaction concepts, geo-localization or environmental perception. Common to all these challenges is the seamless exchange of large amounts of local and global mobility-related data, requiring autonomous vehicles to not only be connected to the Internet, but also exchanging data between vehicle- and backend-systems. The fully networked vehicle embedded in the Internet of Things (IoT) leads to new opportunities and research challenges in the area of connected mobility. This includes technical aspects such as highly scalable vehicle electronics, dependable communication systems, big data fusion and driver assistance systems. But also non-technical disciplines such as psychological-, socio-economic-, legal, and business-oriented challenges have to be addressed.

BMW Research and Technology, EURECOM and the Technische Universität München (TUM) jointly organize a Summer School on “Autonomous Driving in the Internet of Cars” at lake Tegernsee, Bavaria. The objective of this Summer School is to bring together leading experts in connected mobility from both industry and academia, as well as PhD students and junior scientists. We jointly discuss and work on key challenges ahead of us for expected societal, economic, and technological changes that impact life and industry on the topic of ”Autonomous Driving in the Internet of Cars”.

BMW Research and Technology, EURECOM and TUM solicit high quality and highly innovative posters (not full papers) from PhD candidates in the following categories:

  • Vehicular cloud architectures & services
  • Human Machine Interfaces
  • Dependable communication technologies (such as DSRC, LTE/LTE-A, pulse radio, visible light)
  • Scalable on-board electronics
  • Data semantics, data fusion, classification & re-construction
  • Sensor and actuator integration, environmental perception & vehicular control
  • Cognition and driver behavior
  • Security and privacy
  • Business and societal changes, new innovative applications based on autonomous vehicles
  • Legal framework and socio-economic acceptance

Your submission will be reviewed to assess qualification and relevance for the Summer School. Full applications also require a CV, a letter of motivation, master degree certificate and a brief description of your PhD topic. A list of references is also highly appreciated. Travel support will be awarded by BMW for selected applications. Students with accepted posters will have the opportunity to present their work in front of leading experts from industry and academia.

Further details on the Summer School and the Poster submission process may be found on the following website: http://www.bmwsummerschool.com/

Or by contacting:  summerschool2014@bmwgroup.com

 

With Best Regards,

Jérôme Härri

SUMO 2014 Conference Program Online

The final version of the conference program for this years SUMO conference ‘Modeling Mobility with Open Data’ is now online.
The presentations cover a wide range from traffic network preparation to parallelization, traffic lights and even cyclists and railway topics are covered.

If you did not register yet, there are still some places available.

See you in Berlin!

Veranstaltungsankündigung „Krise trifft Verkehr – Wissenschaft trifft Praxis am 30.10.2014 in Köln (german only)

„Krise trifft Verkehr – Wissenschaft trifft Praxis“ ist das Motto eines Workshops, den das Bundesamt für Bevölkerungsschutz und Katastrophenhilfe (BBK) und das Deutsche Zentrum für Luft- und Raumfahrt e.V. (DLR) am 30.10.2014 am DLR-Standort Köln veranstalten. Ziel der Konferenz ist ein intensiver Dialog zwischen Bevölkerungsschützern und Wissenschaftlern. Dabei stehen sowohl Möglichkeiten und Potentiale neuer Forschungsergebnisse und Entwicklungsrichtungen als auch technische und organisatorische Randbedingungen bei der Anwendung im Bevölkerungsschutz im Zentrum der Betrachtung.

Den geplanten Ablauf sowie inhaltliche Details können Sie dem Informationsblatt  entnehmen.

Ansprechpartner:

Frau Nebbo, BBK (Tel.: 0228 99 550 2050, E-Mail: roschan.nebbo@bbk.bund.de) sowie Herr Hohloch, DLR (Tel.: 030 67055 323, E-Mail: marc.hohloch@dlr.de)

 

CFP Summer School on Autonomous Driving in the Internet of Cars, co-organized by BMW R&D, EURECOM, TU Munich

From Jérôme Härri on Wednesday, the 26 of March, 2014:

—————————————————————————————————————————————-

Call for Student Posters

Summer School on Autonomous Driving in the Internet of Cars

jointly organized by BMW R&D, EURECOM and TU Munich,

with the support of the Bayerisch-Französische Hochschulzentrum (BFHZ),

the Bureau de Coopération Universitaire de Munich (BCU),

and the Franco-German University (pending)

July 27 August 1st, 2014

Venue: Tegernsee, Bavaria, Germany

 

http://www.bmwsummerschool.com/

—————————————————————————————————————————————–

Autonomous driving is a paramount endeavor for automotive industry leaders such as BMW. Moving towards fully-automated driving, the advantages in driver comfort and safety are obvious. Complex challenges arise from technological prerequisites: enhanced and cooperative data processing, data security, human machine interaction concepts, geo-localization or environmental perception. Common to all these challenges is the seamless exchange of large amounts of local and global mobility-related data, requiring autonomous vehicles to not only be connected to the Internet, but also exchanging data between vehicle- and backend-systems. The fully networked vehicle embedded in the Internet of Things (IoT) leads to new opportunities and research challenges in the area of connected mobility. This includes technical aspects such as highly scalable vehicle electronics, dependable communication systems, big data fusion and driver assistance systems. But also non-technical disciplines such as psychological-, socio-economic-, legal, and business-oriented challenges have to be addressed.

BMW Research and Technology, EURECOM and the Technische Universität München (TUM) jointly organize a Summer School on “Autonomous Driving in the Internet of Cars” at lake Tegernsee, Bavaria. The objective of this Summer School is to bring together leading experts in connected mobility from both industry and academia, as well as PhD students and junior scientists. We jointly discuss and work on key challenges ahead of us for expected societal, economic, and technological changes that impact life and industry on the topic of ”Autonomous Driving in the Internet of Cars”.

BMW Research and Technology, EURECOM and TUM solicit high quality and highly innovative posters (not full papers) from PhD candidates in the following categories:

  • Vehicular cloud architectures & services
  • Human Machine Interfaces
  • Dependable communication technologies (such as DSRC, LTE/LTE-A, pulse radio, visible light)
  • Scalable on-board electronics
  • Data semantics, data fusion, classification & re-construction
  • Sensor and actuator integration, environmental perception & vehicular control
  • Cognition and driver behavior
  • Security and privacy
  • Business and societal changes, new innovative applications based on autonomous vehicles
  • Legal framework and socio-economic acceptance

Your submission will be reviewed to assess qualification and relevance for the Summer School. Full applications also require a CV, a letter of motivation, master degree certificate and a brief description of your PhD topic. A list of references is also highly appreciated. Travel support will be awarded by BMW for selected applications. Students with accepted posters will have the opportunity to present their work in front of leading experts from industry and academia.

Further details on the Summer School and the Poster submission process may be found on the following website: http://www.bmwsummerschool.com/

Or by contacting:  summerschool2014@bmwgroup.com

With Best Regards,

Jérôme Härri

 

2nd CfP: SIMUL 2014 || October 12 – 16, 2014 – Nice, France

From SIMUL on Sunday, 30th of March, 2014:

 

INVITATION:

 

=================

 

Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to SIMUL 2014.

 

The submission deadline is May 16, 2014.

 

Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org

 

=================

 

 

============== SIMUL 2014 | Call for Papers ===============

 

CALL FOR PAPERS, TUTORIALS, PANELS

 

SIMUL 2014, The Sixth International Conference on Advances in System Simulation

 

October 12 – 16, 2014 – Nice, France

 

 

General page: http://www.iaria.org/conferences2014/SIMUL14.html

 

Call for Papers: http://www.iaria.org/conferences2014/CfPSIMUL14.html

 

- regular papers

 

- short papers (work in progress)

 

- posters

 

Submission page: http://www.iaria.org/conferences2014/SubmitSIMUL14.html

 

 

Submission deadline: May 16, 2014

 

Sponsored by IARIA, www.iaria.org

 

 

Extended versions of selected papers will be published in IARIA Journals:  http://www.iariajournals.org

 

Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html

 

Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org

 

 

Please note the Poster and Work in Progress options.

 

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

 

All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels.

 

Before submission, please check and conform with the Editorial rules: http://www.iaria.org/editorialrules.html

 

 

SIMUL 2014 Topics (topics and submission details: see CfP on the site)

 

 

Simulation models

 

Monte Carlo simulation; Statistical analysis of simulation output; Analytical simulation modeling; Discrete event simulation models; Credible simulation models; Multi-objective simulation models; Multisimulation with multiresolution, multistage multimodels; Verification and validation of simulation models; Simulation metamodels; Executable simulation models; Emulation models; Regression models and experimental designs; Kriging metamodeling; Kriging metamodeling in discrete-event simulation; Kriging modeling for global approximation

 

Simulation methodologies

 

Sensitivity analysis; Rare-event simulation methodology; Agent-based modeling and simulation; Regenerative steady-state simulation; Simulation-based ordinal optimization; Ontology-based simulation methodology; Simulation component reuse methodology; Two-level simulation methodology; Emulation methodologies; System adaptation simulation; Simulation methodologies for autonomic and autonomous systems; Virtual reality simulation methodologies; Virtualization simulation; Construction simulation methodologies

 

Sensitivity analysis

 

Systematic simulation using sensitive analysis; Probabilistic sensitivity analysis; Sensitivity analysis of simulation technologies (Monte Carlo, Streamline, Spatial models, etc.); Domain-oriented sensitivity analysis (optimization, estimation matching, climate); Sensitivity analysis of products features, formalisms, design optimization (systems, code); Assessing the competency of business services (public, health, transportation, etc.); Sensitivity analysis and performance extrapolation; Adjoint transient sensitivity analysis; Causality and sensitivity analysis; Assessing the accuracy of sensitivity analysis

 

Simulation mechanisms

 

Composing simulation models; Reusable simulation model; Uncertainty simulation; Continuous-variable simulation optimization; Approximate zero-variance simulation; Probabilistic processes for simulation; Progressive model fitting; Steady-state simulations with initial transients; Merging simulation and optimization; Simulation optimization, stochastic programming and robust optimization; Overlapping variance estimators; Kriging interpolation in simulation; Kriging versus regression analysis; Interpolation; Random simulation; Prediction and simulation; Interpolation /Kriging, Cokriging, Conditional Simulation, and Inverse Distance Weighting/

 

Model based system prediction

 

Model based prediction of system quality characteristics and their trade-offs; Prediction models; Methods and tools for system quality prediction; Reliability prediction; Security prediction; Risk prediction; Performance prediction; Uncertainty handling in prediction models; Prediction of change impacts on system quality and risk; Quality and trustworthiness of prediction models; Predictability of system quality characteristics; Predictability of dynamic and adaptive systems; Data acquisition methods in system quality prediction; Traceability and maintainability of prediction models; Inference types in prediction models; Experience reports on and application areas for system quality prediction; Empirical studies on system quality prediction

 

Distributed simulation

 

Large-scale simulation experiments; Industrial scale simulation; Time aspects in distributed simulation; Resource constraints in distributed simulation; Distributed disaster decision simulation; Simulation for rapid assessment of distributed impacts; Parallel and distributed simulation; Model-driven distributed simulation engineering

 

Human-in simulation

 

User-in-the-middle simulations; User-feedback in simulations; User-adaptive simulations; Bioterrorism preparedness simulation; Probabilistic risk assessment; Measurement of situation awareness

 

Simulations in advanced environments

 

Simulation in Virtualized systems; Simulation in Cloud environments; Simulations in GRID environments; Simulation in Cognitive systems; Simulation in P2P systems; Simulation in Data Centers; Simulation in Power Distribution Centers; Simulation in micro- and nano-systems; Simulation in Geospatial systems; Geostatistics simulation; Spatial simulation; Simulation in Self-Adaptable systems; Simulation in Ubiquitous systems; Simulation in Underwater Vehicular and Communications systems; Simulations in Mobile and Vehicular systems; Simulation in eHealth systems;Computational fluid dynamics simulations for urban and environmental applications

 

Practical applications on process simulations

 

Uncertainty in industrial practice; Simulation for business planning; Application to finance; Logistics simulation; Supply chain simulation; Software reliability simulation; Simulation in vehicular systems /avionics, satellites, terrestrial/; Simulation models for manufacturing; Climate and weather-related simulations; Biological system simulation; Chemical system simulation; Commercial simulation environments; Healthcare simulation; Hospital planning; Simulation-based scheduling; Simulation in warehouse operations; Manufacturing simulation interoperability; Telecommunications simulations /reliability, queuing, fault spreading, virus contamination/; Cyber-attack modeling and simulation; Sensor fusion simulation

 

Case studies on social simulation

 

Group-work interaction simulation; Behavior analysis in simulations; Social need simulations; Simulating urban open spaces; Social decision simulation; Real-time decision making simulation; e-Polling simulation; Validation of simulated real-world; Simulation to predict market behavior; Predictions via similarity-based data-mining; Simulation of groups in e-Government systems; Simulation of urban mobility

 

Online social simulation

 

Online social models, social networking; Simulation of conflicts, cooperation, persuasions; Simulation of dynamics, group decisions, emerging behavior and situations; Simulation of interactive games, predictions and distributed tasks; Simulation of 3D online communities, massive online multiplayers, virtual social communities; Life problems simulation (sociology, political science, economics, anthropology, geography, archeology and linguistics); Group innovation and consumption simulation; Applications, techniques, tools, computational frameworks, experiments and lessons

 

Building simulation

 

Simulation of building physics; Human simulation of the indoor environment; Civil-oriented and enterprise-oriented simulations; Simulation of building services (lightning, heating, cooling, ventilation, insulation, etc.); Simulation of energy capture and conversion; Simulation of solar buildings, geothermal energy buildings; Simulation for earthquakes, flooding, fire propagation, etc.; Simulation of design practice; Tools and applications to simulate building-related properties and situations

 

Transport simulation

 

Transport system models; Airport simulation; Public transport simulation; Merchandise port simulation; Rural transport simulation during harvest time; Shipping transport simulation; Content and volume-based transport simulation; Simulation of traffic control and synchronization; Prediction accuracy of transport simulations; Simulation of transport projects

 

Warfare simulation

 

Warfare simulation environments and models; Tactical and strategic warfare simulation; Attack warfare simulation; Urban warfare simulation; Warfare simulation in unknown environment; Underwater, terrestrial, and spatial simulations; Hierarchical control simulation; Warfare gaming

 

Simulation tools and platforms

 

Discrete-event simulation software; Commercial off-the-shelf simulation package interoperability; Ontology-based tools for simulation integration; Simulation frameworks for energy-efficient systems; Public system applications; Simulators for business planning; Simulation tools for systems biology; Simulation tools for constructions /bridges, railways, industrial buildings, subways/

 

Experience report on ready-to-use tools

 

ShowFlow and XJ technologies; Rockwell Automation and Frontline Systems; SIMULE-Planner, AutoMOD; PMC-Kanban Simulator, Program Portfolio Simulator and Asprova Scheduler; 3D simulator tool-kits; Wolverine Software-SLX; OPNET; OMNET++; NIIST; NS-2; NS-3; ATDI ICS; Qualnet;  Dymola; Matlab/Simulink; Open source tools

 

 

Committee: http://www.iaria.org/conferences2014/ComSIMUL14.html

 

11th SHORT COURSE 2014 “DYNAMIC TRAFFIC FLOW MODELLING AND CONTROL”

From Prof. Markos Papageorgiou on Wed, 26th of March, 2014

 

Technical University of Crete
Dynamic Systems and Simulation Laboratory
Chania 73100, Greece

11th Short Course 2014

****************************************************
DYNAMIC TRAFFIC FLOW MODELLING AND CONTROL
****************************************************

Lecturer: Prof. Markos Papageorgiou
Date: 3-7 November 2014
Location: Chania (Crete), Greece
Fee: 1.700 € (for graduate students: 1.300 €)
(20% reduction is granted in case of more than one participation from the same institution)

 

Scope

The design, analysis, and evaluation of Intelligent Transportation Systems (ITS) requires a good knowledge of traffic flow modelling and control techniques as well as of powerful methodologies from the areas of optimisation, control, networks and dynamic systems. The purpose of the intensive 5-day course is to cover the basic theory, methods and tools necessary for efficient design and evaluation of ITS on road and freeway networks. After a basic introduction to dynamic systems and control, the course continues with traffic flow modelling and validation issues, covering various traffic flow models, the modelling of traffic networks, dynamic traffic assignment and simulation tools. Measurement devices and estimation problems in traffic networks, including automatic incident detection and OD estimation, are presented and discussed. The state-of-the-art techniques in freeway traffic control, road traffic control and integrated traffic control, employing ramp metering, signal control, variable speed limits and route guidance, together with several field-implemented case studies are presented. Future prospects and challenges related to emerging vehicle automation and communication systems are discussed. Brief accounts of modern optimisation, control and estimation techniques are provided. Some 50 exercises are used for consolidation of the provided knowledge. Extensive written materials, including all transparency copies, are handed out.

Who Should Attend

Graduate students, engineers, researchers, consultants, and government employees who are interested in improving their understanding of advanced traffic flow modelling and control tools and in becoming familiar with their application in ITS.

Please forward the information about the Short Course to any of your colleagues who may be interested.

For more information

For more information (Detailed Course Contents, About the Lecturer, Registration Form, Location, Accommodation, Evaluation of Previous Courses), please visit the site: http://www.dssl.tuc.gr/en/shortcourse/ShortCourseAnnouncement.doc or email shortcourse@dssl.tuc.gr  or contact:

 

**************************************************
Prof. Markos Papageorgiou
Director
Dynamic Systems & Simulation Laboratory
TECHNICAL UNIVERSITY OF CRETE
University Campus
GR-73100 Chania, GREECE
<contact information removed>

Web: http://www.dssl.tuc.gr
**************************************************

Version 0.20.0 released

Dear friends and colleagues,

we are happy to announce the latest release of SUMO. The most prominent
changes are a windows installer for 32bit and 64bit Windows and the
validation of all inputs against XML schemata by default.

Below is a list of further changes since the previous release. You can
find the full list here.

Bugfixes
- Simulation
- Fixed bug in the computation of safe velocities. Sometimes the velocity was too high (causing collisions) but most times it was too low (degrading traffic flow).
- Vehicles now move to the right lane after passing instead of staying on the passing lane. (see #1139)
- SUMO-GUI
- Fixed bug where brake lights were shown even though the vehicle was not braking
- Tools
- Fixed bug which prevented traceExporter.py from running

Enhancements
- Simulation
- Added a first version of the PHEMlight emission model (contribution of TU Graz)
- NETCONVERT
- added option –osm.elevation <BOOL> which imports elevation data from OSM input (default false).
- TraCI
- added additonal bits to the traci command Change Vehicle State/speed mode to configure the behavior at intersections. This can be used to make vehicles ignore right-of-way rules and also to force them to drive across a red light.
- the API to Areal Lane Detectors was added; thanks to Mario Krumnow and Robbin Blokpoel
- it is now possible to retrieve the leading vehicle within a specified range Vehicle API specification
- Tools
- added tool xml2csv.py which converts all of the XML-output files written by SUMO to a flat-file (CSV) format which can by opened with most spread-sheet software
- added tool csv2xml.py for the opposite conversion, requiring an XML schema and also for conversion to Google’s protocol buffers xml2protobuf.py
- osm/osmGet.py now supports retrieving very large areas by bounding box using the option –tiles <INT>. (previously this option was only supported together with option –oldapi which has severe size limitations}}
- added some visualisation tools

Other
- TraCI
- TraCI version is now 8
- All Applications
- Added option –xml-validation <STRING> with possible values never, always and auto defaulting to auto. This causes all input files to be validated against their respective schema, provided the schema-URL is declared in the toplevel XML-Tag (always requires the schema-URL to be present).
- Added option –xml-validation.net <STRING> to all applications which read .net.xml-files which works like option –xml-validation <STRING> but applies only to sumo networks (default never since network validation is computationally expensive).

We thank all contributors and wish you all the best.

Laura, Melanie, Jakob, Michael, Daniel, and Marek

Upcoming Release 0.20

The next sumo release will happen on March, 4th and will follow a new release procedure including a freeze phase starting February, 25th.

There are two major changes in the new release which we would like to bring to your attention because we would appreciate some feedback and testing on them before releasing.

  1. For the first time we will release Windows installers. If you are brave enough , please try the nightly build which is available for 32bit and 64bit.
  2. SUMO 0.20 will validate your inputs against an XML schema, if it is specified in the input file. Please try your scenario with a fresh or nightly build and report any problems related to that, if possible.