As announced, the playgrounds have moved to their own GitHub repository.
Tests are run by Travis and Jenkins – as before, Travis runs Tests, and Jenkins also runs Integration Tests.
A few integration tests are currently failing, probably because of file references to outside the repository. Please check.
Action required for those who have playgrounds:
We are moving them out of the
matsim git repository into their own one. See e.g.
MATSIM-676Getting issue details...
MATSIM-685Getting issue details...
MATSIM-680Getting issue details...
This mostly means that you will have to check out this new repository separately, and put it next to the current repository into your (e.g.) Eclipse workspace. (Don't try to put it inside the current repository.) IDEs like Eclipse don't care much – they resolve dependencies within the same workspace on their own.
On the other hand, it means that if you are developing neither the core nor a contrib, you now probably need to check out only the
I plan to do this on 2017-06-29. I will briefly block pushes to
matsim, create the new
playgrounds repository, and re-open
matsim. It will be easiest if you have everything committed by that time – though it should also be easy to transfer your changes to the newly checked-out
playgrounds repository. After all, the directory structure is not going to change.
IEEE MoD@ITSC 2017
1st Workshop on Modelling, Analysis and Control of
Intelligent Mobility-on-Demand Systems
co-located with IEEE ITSC 2017
October 16-19, 2017, Yokohama, Japan
After decades of little innovation, personal urban mobility is undergoing rapid transformations due to the introduction of disruptive technologies (e.g. connected and driverless cars), new IT applications (e.g. app-based services) but also due to changes in individual preferences and social behaviours, with a growing trend towards a shifting from car ownership to sharing. This gave new life to several mobility on demand (MoD) services which were ideated decades ago but never established themselves as viable mobility solutions and created new variations of them, such as ride-sharing, bike-sharing programs, car-pooling and car-sharing services, on-demand bus and delivery services, etc. The rapid growth and the forecasted (large) scale of these new mobility services is expected to radically change individual travel patterns, and conventional frameworks for the modelling, analysis, simulation and control of transportation systems are not appropriate any more. For instance, novel demand modelling tools are needed for measuring, modelling and predicting behavioural choice and individual preferences for the new mobility solutions, as well as forecasting the level of market uptake of the different mobility services. Similarly, new analytical models and simulation frameworks are required to accurately characterise the peculiar properties of MoD systems. Then, the insights obtained may serve as basic input to advanced optimization frameworks, which can provide decision tools for the planning and optimal operation of such systems. Key issues to address are infrastructure planning, fleet sizing and management, supply rebalancing, and efficient cooperation with other transportation modes (e.g. public transport).
The goal of this workshop session is to provide a forum to exchange ideas, discuss solutions, and share experiences from industry, researchers and the public sector. We solicit original papers covering different aspects of MoD systems, including modelling, optimisation, management systems, field applications and new paradigms.
Topics of interest include, but are not limited to:
- Data mining, machine learning, and data analytics for MoD systems
- Large scale simulation of agent-based models for MoD systems
- Modelling, analysis, and control of MoD systems
- On-demand mobility in Public Transport
- Cooperative Systems and Connected Vehicles for MoD services
- Autonomous driving for MoD services
- ITS technologies for MoD services
- Social and emergent behaviours for MoD services
- Travel behaviour and travel demand for MoD systems
- Discrete choice modelling for MoD systems
- Field tests and implementation of MoD services
- Cooperation between different modes of MoD
- MoD and Smart Cities
- Complex network theory for MoD systems
- Robotic MoD systems
- Electric MoD systems
- Operations research in MoD systems
- Drones as the new frontier for MoD
PAPER FORMAT AND SUBMISSION INSTRUCTIONS
Submitted papers must be no longer than 6 pages, and should adhere to the standard IEEE conference proceedings format. Reviews will be single-blinded. Papers should neither have been published elsewhere nor being currently under review by another conference or journal.
Paper should be submitted via EDAS using the following link: https://edas.info/newPaper.php?c=23861&track=86364
- Submission Deadline: 30 June 2017
- Acceptance Notification: 25 July 2017
- Camera Ready Due: 10 August 2017
PROGRAM COMMITTEE CHAIRS
Chiara Boldrini (IIT, Italian National Research Council)
Raffaele Bruno (IIT, Italian National Research Council)
Francesco Ciari (Institute for Transport Planning and Systems, ETH Zürich)
Hironori Kato (Dept. of Civil Engineering, The University of Tokyo)