Keynote Speakers

We are delighted to introduce you to the Key Speakers of the EWGT 2018 in Braunschweig.

Mohamed Mezghani (UITP Secretary General)

»  Monday 17th September 2018, 09:15 am  «

Urban mobility is changing, public transport too

Urban mobility is growing all over the world. Cities need large public transport infrastructure within short timelines. Simultaneously, digitalisation and the sharing economy are changing citizens expectations as far as mobility is concerned: they expect on-demand flexible and shared solutions Electro-mobility and automation are also important trends. In this context, while remaining the backbone in the city, public transport must embrace the new mobility solutions. This is the only way to better use cars and reduce congestion.
This paradigm change is having important challenges. How roles and responsibilities will be distributed between conventional mass transit stakeholders and new mobility players? What are the impacts of digitalisation on jobs and skills? How the growing use of electricity is changing the cost structure of public transport? And will public transport succeed in building a culture of customer excellence to make it the preferred choice for mobility? Important issues that will be analysed and illustrated by examples worldwide showing the need to enlarge the scope of public transport beyond mass transit.

Mohamed Mezghani has been working for more than 25 years in public transport and urban mobility related fields. He has been elected Secretary General of the International Association of Public Transport (UITP) and will be taking office on 1/01/2018. He has been Deputy Secretary General of UITP the since January 2014. Until then, he has worked at UITP as Senior Manager (1999-2001) and Knowledge Director (2001-2006) chairing the department developing knowledge-related services for UITP members: professional training, research projects, thematic studies, technical advice, conferences, networking activities, information centre, etc. From 2006 till 2013, he has worked as independent consultant and Adviser to UITP on several technical assistance and training projects in Africa and the Middle-East and managed a number of projects involving numerous experts and multidisciplinary teams. Before joining UITP, M. Mezghani has been working as consultant in the French group, BCEOM, (from 1990 to 1999) more particularly in the urban mobility field. He has managed and carried out projects including policy definition, technical assistance and research activities in several countries in Europe, sub-Saharan Africa and Arab countries. During his collaboration with the French Agency for Environment and Energy Management, ADEME, (from 1988-1990), M. Mezghani carried out actions aimed at identifying and evaluating transport energy efficiency projects likely to be financed by the Agency in France. He has been graduated in Industrial Engineering (1987) from Ecole Nationale d’Ingénieurs de Tunis, Tunisia and has a Master in Transport (1988) from Ecole Nationale des Ponts et Chaussées, Paris, France.

Research expertise:

  • Urban mobility policies and travel demand management,
  • Trends and innovation in urban transport,
  • Institutional organisation and regulatory framework of public transport,
  • Relationships between public transport stakeholders,
  • Urban transport energy efficiency

Hani Mahmassani

»  Tuesday 18th September 2018, 09:15 am  «

Network Models for the Emerging New Mobility Landscape: Autonomous, Connected, Electric, Shared (ACES)

Transportation is undergoing deep and significant transformation, seeking to fulfill the promise of connected mobility for people and goods, while limiting its carbon footprint. Autonomous vehicles are potentially changing the economics ownership and use of private automobiles, likely accelerating trends towards greater use of app-based ride hailing and/or sharing by private TNCs (Transportation Network Companies). Several potential business models with varying degrees of ride sharing and public vs. private involvement in the delivery of mobility as a service are presented. Algorithms for shared autonomous fleet management are discussed and illustrated on a small case application.  These are then integrated in an intermodal dynamic network modeling framework, which is applied to the Chicago region to evaluate the mobility impact of new services.  Implications for transit agencies and mobility service providers are discussed.

Dr. Hani S. Mahmassani holds the William A. Patterson Distinguished Chair in Transportation at Northwestern University, where he is Director of the Northwestern University Transportation Center, and Professor in Civil and Environmental Engineering, with joint appointments in Industrial Engineering and Management Sciences, and Managerial Economics and Decision Sciences in the Kellogg School of Management. Prior to Northwestern, he served on the faculties of the University of Maryland and the University of Texas at Austin. He has over 35 years of professional, academic and research experience in the areas of intelligent transportation systems, freight and logistics systems, multimodal systems modeling and optimization, pedestrian and crowd dynamics and management, traffic science, demand forecasting and travel behavior, and real-time operation of transportation and distribution systems.

Research expertise:

  • multimodal transportation systems analysis,
  • planning and operations,
  • dynamic network modeling and optimization,
  • autonomous vehicles and connected systems,
  • transit network planning and design,
  • user behavior and telematics,
  • telecommunication-transportation interactions

Constantinos Antoniou

»  Wednesday 19th September 2018, 09:15 am  «

Model-Based Big Data Transportation Analytics or Big data transport analytics 2.0

Big data have been a significant new resource in many fields over the last decade. After the first generation of collecting the low hanging fruit, we are now at a point where we can consolidate what we have learned, and redesign our approach going forward in a more effective way. Combining transportation domain knowledge with machine learning techniques can considerably enhance our ability to model transportation systems. A number of recent developments on transportation systems modelling and analysis will be presented, along with results from recent real-world projects.

Constantinos Antoniou is a Full Professor in the Chair of Transportation Systems Engineering at the Technical University of Munich (TUM), Germany. He holds a Diploma in Civil Engineering from NTUA (1995), a MS in Transportation (1997) and a PhD in Transportation Systems (2004), both from MIT. In his 20+ years of experience he has held key positions in a number of research projects in Europe, the US and Asia, while he has also participated in a number of consulting projects. He has authored more than 300 scientific publications, including more than 90 papers in international, peer-reviewed journals, 200 in international conference proceedings, a book and 17 book chapters. He is a member of several professional and scientific organizations, editorial boards (Member of the Editorial Board of Transportation Research – Part C, Journal of Intelligent Transportation Systems, IET Intelligent Transportation Systems, Transportation Letters), committees (such as TRB committees AHB45 – Traffic Flow Theory and Characteristics and ABJ70 - Artificial Intelligence and Advanced Computing Applications, Steering Committee of hEART – The European Association for Research in Transportation), and a frequent reviewer for a large number of scientific journals, scientific conferences, research proposals and scholarships.

Research expertise:

  • modelling and simulation of transportation systems,
  • big data and data analytics,
  • calibration and optimization applications,
  • road safety and sustainable transport systems
Euro Working Group on Transportation Technische Universität Braunschweig Niedersächsisches Forschungszentrum Fahrzeugtechnik