MoD@ITSC'17 16 October 2017, Yokohama, Japan
Modelling, Analysis and Control of Intelligent Mobility-on-Demand Systems


13:00 - 13:15 Welcome and opening remarks

13:15 - 14:15 Keynote: Smart move
Prof. Stephan Winter (The University of Melbourne, Australia)

Abstract: In our research we look at demand-responsive urban transportation: next-gen smart mobility. The focus is on concepts of economic feasibility, and on raising its attraction and trust. I'll give an overview of the ongoing work.

Bio: Stephan Winter is Professor and Discipline Leader, Geomatics, at the Department of Infrastructure Engineering, The University of Melbourne. He is a world-wide recognized researcher in spatial information science, specializing in human spatial cognition and interaction, and intelligent mobility / transport. He leads the smart city agenda of the Melbourne School of Engineering. He is member of IEEE.

14:15 - 15:00 Session 1: Demand estimation for MoD
  • Analysis on Supply and Demand of Shared Autonomous Vehicles Considering Household Vehicle Ownership and Shared Use
    Mingyang Hao (Nagoya University, Japan); Toshiyuki Yamamoto (Nagoya University, Japan)

  • A Critical Analysis of Travel Demand Estimation for New One-Way Carsharing Systems
    Reza Vosooghi (Laboratoire Génie Industriel, CentraleSupeléc, Université Paris-Saclay & Institut de Recherche Technologique SystemX, France); Jakob Puchinger (Laboratoire Génie Industriel, CentraleSupeléc, Université Paris-Saclay & Institut de Recherche Technologique SystemX, France); Marija Jankovic (Ecole Centrale Paris - CRSA, France); Goknur Sirin (Ecole Centrale Paris & Renault SAS Techno-Centre, France)
15:00 - 15:30 Coffee Break

15:30 - 16:30 Session 2: Operations of MoD
  • DeepSpeedometer: Vehicle Speed Estimation from Accelerometer and Gyroscope Using LSTM Model
    Qianlong Wang (The University of Tokyo, Japan); Yanlei Gu (The University of Tokyo, Japan); Jingwen Liu (The University of Tokyo, Japan); Shunsuke Kamijo (The University of Tokyo, Japan)

  • Rebalancing Shared Mobility-on-Demand Systems: a Reinforcement Learning Approach
    Jian Wen (MIT, USA); Jinhua Zhao (MIT, USA); Patrick Jaillet (MIT, USA)

  • Stackable VS Autonomous Cars for Shared Mobility Systems: a Preliminary Performance Evaluation
    Chiara Boldrini (IIT-CNR, Italy); Raffaele Bruno (IIT-CNR, Italy)
16:30 - 17:30 Session 3: Simulation of MoD
  • Agent-Based Simulation of a Shared, Autonomous and Electric On-Demand Mobility Solution
    Benedikt Jäger (TUM Create, Singapore & Technical University of Munich, Germany); Fares Agua (Technical University of Munich, Germany); Markus Lienkamp (Technical University of Munich, Germany)

  • Development of a Simulation Platform to Implement Vehicle Routing Algorithms for Large Scale Fleet Management Systems
    Sarat Chandra Nagavarapu (Nanyang Technological University, Singapore); Twinkle Tripathy (Nanyang Technological University, Singapore); Justin Dauwels (Nanyang Technological University, Singapore)

  • City-wide Shared Taxis:A Simulation Study in Berlin
    Joschka Bischoff (TU Berlin, Germany); Michal Maciejewski (Poznan University of Technology, Poland); Kai Nagel (TU Berlin, Germany)
17:30 - 17:35 Closing remarks

Important dates

Submission deadline

Acceptance notification

Camera ready due


Call for papers

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

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

Publicity chair

Elisabetta Biondi (IIT, Italian National Research Council)

Technical program committee

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)
Angelo Furno (LICIT, Université de Lyon)
Francesco Guaraldi (KAITEK)
Hans Hellendoorn (Delft Center for Systems and Control, TU Delft)
Haitam Laarabi (IIT, Italian National Research Council)
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 Davidson Consulting, London)
Susan Shaheen (Transportation Sustainability Research Center & Department of Civil and Environmental Engineering, UC Berkeley)

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).

Submission system

Please use EDAS to submit your papers.

Additional Info

Please send your questions to c (DOT) boldrini (AT) iit (DOT) cnr (DOT) it.

Please follow the instructions provided at