Information

Scope

The aim of NAPT is to bring together leading researchers and scholars investigating in the area of transport. At NAPT, participants will present and discuss experiences and new software applications for mobility, focusing especially on public transport (PT), multimodality and new ideas about the use of PT in the circular economy.

The effects of mobility in the economy and environmental sustainability of the planet put administrations and Public Transport Operators (PTO) in a situation where there have to be significant changes towards improvement. There is a clear need for better usability to attract passengers, reduction of the effect of greenhouse gases produced, and combination of different uses for PT, including multimodality, shared vehicles and orientation to the circular economy.

There is global awareness of this problem and the actors are willing to change the trend. This willingness is evident in the mobility strategies of some of the most internationally relevant institutions, including the European Commission with all its policies and research programmes, and the governments of the different countries where urgent needs to improve PT arise. Passengers demand a higher quality of service. Also, more attention is being paid to cost efficiency and subsidy allocation. It is becoming common to equip public transport systems with automated data collection systems which are instrumental in finding effective solutions to those problems.

Software plays a key role in improving this sector. In particular, artificial intelligence and big data analytics software which make it possible to extract new knowledge or create innovative uses of PT that we would have deemed impossible a few years ago. This workshop aims to present the most innovative applications developed in this sector and the current lines of research whose results will have a direct impact on the public transport sector in the coming years.


Keywords

Public transport; Mobility; Multimodality; Recommendation algorithms; Routing; Data management; Smart cities; Intelligent systems


Topics

Specific topics for this workshop include, but are not limited to software systems in the following domains (application areas):

  • Public transport
  • Traffic management
  • Smart cities
  • Location based systems
  • Circular economy uses of Public Transport

Technology-based applications include, but are not limited to:

  • Expert systems
  • Routing algorithms
  • Recommender systems
  • Path planning
  • Path finding
  • User profile analysis
  • Distributed systems and platforms
  • Data visualization
  • Cybersecurity
  • Blockchain

Committee

Organizing Committee

  • Joan Guisado, Universitat Politècnica de Catalunya (Spain)
  • Alfonso González, University of Salamanca (Spain)
  • Arnau Prat, Sparsity Technologies (Spain)


Program Committee

(Tentative)

  • Arnau Prat (Chair) Sparsity technologies (Spain)
  • Joan Guisado (Chair) Universitat Politècnica de Catalunya (Spain)
  • Alfonso González (Chair) University of Salamanca (Spain)
  • Josep Lluis Larriba Universitat Politècnica de Catalunya (Spain)
  • Juan M. Corchado University of Salamanca (Spain)
  • Pablo Chamoso University of Salamanca (Spain)
  • Javier Prieto University of Salamanca (Spain)
  • Fernando De La Prieta University of Salamanca (Spain)
  • Yves Perreal (Thales, France)
  • Esther Bravo (S2R, EC, Brussels)
  • Achim von der Embse (Hacon, Germany)
  • Alex Papacharalampou (AETHON, Greece)
  • Antonio Soares (Fertagus, Portugal)
  • Hans van Lint (TUDelft, The Netherlands)
  • Victorya Degeler (University of Groningen, The Netherlands)
  • Marco Ferreira (Thales, Portugal)
  • Mar Alarcon (Socialcar, Spain)
  • Martí Jofre (Pildo Labs, Spain)
  • Carles Labraña (AMTU, Spain)
  • Alex Deloukas (AMETRO, Greece)
  • Ismini STroumpou (AETHON, Greece)

Contact

Joan Guisado
Universitat Politècnica de Catalunya (Spain)
joan@ac.upc.edu

Alfonso González
University of Salamanca (Spain)
alfonsogb@usal.es

Arnau Prat
Sparsity Technologies (Spain)
arnau@sparsity-technologies.com