News

  • 2th July: Deadline EXTENDED!
  • 24th May: Website on-line

Important Dates

Workshop - Paper Submission: opens 27st May and
closes 15th July 2018

Notification of Acceptance:
23th July, 2018

Camera Ready: 6th August, 2018

Workshop Day:
10-14th Semptember, 2018

Important Links

Submission page here

Workshop Support

SoBigData

Nec

Kdd lab

DTU

About

The recent technological advances on telecommunications create a new reality on mobility sensing. Nowadays, we live in an era where ubiquitous digital devices are able to broadcast rich information about human mobility in real-time and at a high rate. Such fact exponentially increased the availability of large-scale mobility data which has been popularized in the media as the new currency, fueling the future vision of our smart cities that will transform our lives. The reality is that we just began to recognize significant research challenges across a spectrum of topics. Consequently, there is an increasing interest among different research communities (ranging from civil engineering to computer science) and industrial stakeholders on build knowledge discovery pipelines over such data sources. However, such availability also raise privacy issues that must be considered by both industrial and academic stakeholders on using these resources. This workshop intends to be a top-quality venue to bring together transdisciplinary researchers and practitioners working in the related topics from multiple areas such as Data Mining, Machine Learning, Numerical Optimization, Public Transport, Traffic Engineering, Multi-Agent Systems, Human-Computer Interaction and Telecommunications, among others. The ultimate goal of this venue is to evaluate not only the theoretical contribution of the methodology proposed in each research work, but also its potential deployment/impact as well as its advances with respect to the State-of-the-Art/State-of-the-Practice in the domains of the related applications. The venue will take place at ECML/PKDD 2018, the largest and most reputed Machine Learning/Data Mining conference in Europe. The accepted formats are regular papers or demonstrations of production-ready software on related topics (soft max. limi of 20 pages on Springer’s LNCS format for both). Both formats will be presented orally at the workshop. The review process is single-blind. All the accepted regular papers will be invited to submit an Extended version to a Special Issue (edited by the workshop’s organization). The journal that will host this Special Issue is still on discussion with its editorial board.

Keynote Speaker: Oded Cats

Title: Public transport planning and modelling in the era of pervasive passenger flow data

Abstract: Public transport systems are increasingly equipped with sensors that enable the continuous collection of large amount of pervasive data concerning both supply and demand. These data cannot only support the monitoring, control and management, but also unravel the underlying demand patterns. In this talk, I will present a spectrum of planning, operations, and control applications that rely on large-scale vehicle and passenger flow data. The latter have the potential to revolutionize transport assignment and simulation models. How does crowding effect people choice of route? Can passenger flows be fully explained by network topology? Which public transport services need to be coordinated? These are examples of questions that can now be answered by directly analysing passenger trajectories. Related scientific and practical challenges will also be discussed.

Bio: Oded Cats is an Assistant Professor at the Department of Transport & Planning at Delft University of Technology (TU Delft) and KTH Royal Institute of Technology, Sweden. His work develops theories and models of multi-modal metropolitan passenger transport systems by combining advancements from behavioural sciences, operations research and complex network theory. His research focuses on system dynamics and uncertainty in route choice and assignment, service optimization, control, network design and robustness, travel information and reliability. He (co-)authored more than 120 peer-reviewed scientific publications in international journals and conference proceedings. He is a member of PTV Scientific Advisory Board on public transport modelling and member of several TRB committees of the US National Academies. His research activities often support public transport agencies and operators’ decision making as part of the Smart Public Transport Lab which he co-directs.

Topics of Interest

In order to better address the challenges in enabling insightful information in a heterogeneous city environment, we welcome topics grouped in three categories: The first category addresses the specific techniques in different areas of data mining and analytics that enable the discovery of patterns from heterogeneous city data. In the second category, we will focus on innovative techniques for using discovered patterns to enable missioncritical information to various city stakeholders via a seamless information access. Finally, the workshop aims to discuss the usage of the various techniques in particular application scenarios with the aim of revealing specific challenges of each application area. This workshop targets (but is not limited to) the following topics, grouped into these three categories:

  • Different transportation modes and their interactions (road, rail, air and water-based);
  • Intelligent and real-time public transport control and operational management;
  • Transportation planning and management;
  • Trajectory mining and related applications;
  • Failures detection and preventive maintenance;
  • Distributed and ubiquitous transport technologies and policies;
  • Travel demand analysis and prediction;
  • Advanced traveler information systems;
  • Intelligent mobility models and policies for urban environments;
  • Automatic assessment and/or evaluation on the transport reliability (planning, control and other related policies);
  • Human mobility mining and pervasiveness applications;
  • Privacy in collecting, storing and analyzing pervasive mobility/transportation data;
  • Traffic control and demand forecasting for high-speed roadways;
  • Pedestrians traffic analysis, prediction and safety issues;
  • Social impact, land-use and trend analysis;
  • Transit assignment and Activity-Choice models;
  • Human Risk Factor Mining on Driving;

Organizers

Workshop Program

  • 14:00 - 14:10 – Welcome and Introduction
  • 14:10 – 15:10 – Keynote speech: ” Public transport planning and modelling in the era of pervasive passenger flow data”, Oded Cats, Technical University of Delft
  • 15:10 – 15:40 – “Public Transport Vehicles Delay Prediction Using Ensemble Approach”, Piotr Wawrzyniak and Jarosław Legierski
  • 15:40 – 16:00 – Break
  • 16:00 – 16:30 – “STACC - Spatio-Temporal Anomalous Crowd Contextualisation”, Julian Kopp, Haytham Assem and Gavin Shorten
  • 16:30 – 17:00 – “Charging control of electric vehicles using contextual bandits considering the electrical distribution grid”, Christian Römer, Johannes Hiry, Chris Kittl, Thomas Liebig and Christian Rehtanz
  • 17:00 – 17:30 – “Data driven vehicle trajectory forecasting”, Shayan Jawed
  • 17:30 – 17:40 – Closing remarks

Program Committee

  • Achille Fonzone, Edinburgh Napier University, Scotland
  • Angelo Facchini, IMT Lucca, Italy
  • Arun Akkinepally, MIT, US
  • Bernard Pfahringer, U. Waikato, New Zealand
  • Bilal Farooq, Ryerson U., Canada
  • Boris Chidlovskii – Naver Labs, France
  • Constantinos Antoniou - TU Munchen, Germany
  • Francisco Pereira - Technical University of Denmark, DTU, Denmark
  • Gaetano Fusco - U. La Sapienza, Rome
  • Gennady Andrienko - Fraunhofer IAIS, Germany
  • Feras El Zarwi - Uber
  • Filipe Rodrigues - DTU, Danmark
  • Filippo Simini - U. Bristol, UK
  • Haris Koutsopoulos – Northeastern University, USA
  • Jaakko Hollmen – Aalto University, Finland
  • Jakub Marecek – IBM Research, Ireland
  • James Bailey - U. Melbourne, Australia
  • Jihed Khiary - NEC Labs Europe, Germany
  • Joao Gama – University of Porto, Portugal
  • Joao Mendes-Moreira - University of Porto, Portugal
  • Hans Van Lint - TU Delft, Netherlands
  • Latifa Oukhellou - IFSTTAR, France
  • Luca Tesei - U. Camerino, Italy
  • Marcela Munizaga - Universidad de Chile, Chile
  • Marco Fiore – National Research Council of Italy (CNR), Torino, Italy
  • Marco Gramaglia - Universidad Carlos III de Madrid, Spain
  • Mathioudakis Michael – HIIT, Helsinki
  • Michele Berlingerio – IBM Research, Ireland
  • Mirco Nanni – ISTI-CNR, Pisa, Italy
  • Nigel Wilson – MIT, USA
  • Oded Cats, Delft University of Technology, Netherlands
  • Rafael Prieto – UCL, UK
  • Rahul Nair – IBM Research, Ireland
  • Rosaldo Rossetti – University of Porto, Portugal
  • Stefano Cresci – CNR - IIT, Italy
  • Taha Rashidi - U. New South Wales, Australia
  • Thanh Lam Hoang - IBM Research, Ireland
  • Thomas Liebig - TU Dortmund, Germany
  • Timothy Brathwaite - Lyft
  • Zbigniew Smoreda – Orange Labs, Paris

Submission

The accepted submission formats are (i) regular papers and (ii) demonstrations. All submissions should follow the Springer’s LNCS format with a maximum recommended length of 20 pages. The submission page is here (Easychair).

Submitting a paper to the workshop means that if the paper is accepted at least one author commits to presenting the paper at the workshop.

Proceedings

The authors must provided a corrected/improved camera ready version of their papers by August 6th using the same Easychair submission platform.