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MoD@ITSC 2017 : 1st ITSC Workshop on Modelling, Analysis and Control of Intelligent Mobility-on-Demand Systems


When Oct 16, 2017 - Oct 16, 2017
Where Yokohama, Japan
Submission Deadline Jun 30, 2017
Notification Due Jul 25, 2017
Final Version Due Aug 10, 2017
Categories    transportation   mobility   data mining   control

Call For Papers



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

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. Workshop papers will be included and indexed in the IEEE digital libraries (Xplore) along with papers from the main conference.

Extended versions of the selected workshop papers will be considered for possible publication in a Springer book on Mobility-on-Demand systems (currently under negotiation).

Paper should be submitted via EDAS using the following link:


- Submission Deadline: 30 June 2017
- Acceptance Notification: 25 July 2017
- Camera Ready Due: 10 August 2017


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)
Kara Kockelman (Department of Civil, Architectural and Environmental Engineering, University of Texas at Austin)


Javier Alonso-Mora (Delft Center for Systems and Control, Delft University of Technology)
Gonçalo Homem de Almeida Correia (Transport & Planning Department, TU Delft)
Marco Fiore (CNR - IEIIT)
Dirk C. Mattfeld (Institut für Wirtschaftsinformatik, Technische Universität Braunschweig)
Rahul Nair (Transportation Analytics, IBM Research - Ireland)
John D Nelson (Centre for Transport Research, University of Aberdeen)
Marco Pavone (Department of Aeronautics and Astronautics, Stanford University)
Helen Porter (Peter Davison Consulting)
Susan Shaheen (Transportation Sustainability Research Center & Department of Civil and Environmental Engineering, UC Berkeley)

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