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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
http://cnd.iit.cnr.it/mod2017/
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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
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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
IMPORTANT DATES
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- Submission Deadline: 30 June 2017
- Acceptance Notification: 25 July 2017
- Camera Ready Due: 10 August 2017
WORKSHOP CHAIRS
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Chiara Boldrini (IIT, Italian National Research Council)
Raffaele Bruno (IIT, Italian National Research Council)
Francesco Ciari (Institute for Transport Planning and Systems, ETH Zurich)
Hironori Kato (Dept. of Civil Engineering, The University of Tokyo)
TPC
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To be announced
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