New Technologies and ITS for Rail

This chapter presents the new technologies which can be applied in Railway Transport Systems to improve the efficiency and facilitate multimodality in the sector. The authors start this discussion with the description of the safety principles and the new technologies from data collection (sensors) to data processing and providing information. A multimodality approach has to be considered to ensure the interoperability and integration of all ITS systems from different transport modes. The main result of applying new technologies and ITS in Railway is the digitalisation of this sector.

[1]  Ramasamy Uthurusamy,et al.  Data mining and knowledge discovery in databases , 1996, CACM.

[2]  Adrian McEwen,et al.  Designing the Internet of Things , 2013 .

[3]  Hakima Chaouchi,et al.  The Internet of things : connecting objects to the web , 2013 .

[4]  Worarat Krathu,et al.  Identifying Inter-organizational Key Performance Indicators from EDIFACT Messages , 2013, 2013 IEEE 15th Conference on Business Informatics.

[5]  Salim Hariri,et al.  Secure and Resilient Cloud Services for Enhanced Living Environments , 2016, IEEE Cloud Computing.

[6]  Jan Fabian Ehmke,et al.  Computational Challenges in Cooperative Intelligent Urban Transport (Dagstuhl Seminar 16091) , 2016, Dagstuhl Reports.

[7]  M. Minea,et al.  The development of its arcidtecture for urban transport new components and new relations , 2005 .

[8]  Rashid Mehmood,et al.  Framework for an Autonomic Transport System in Smart Cities , 2015 .

[9]  Aki Härkönen.  Deployment of the European Rail Traffic Management System / European Train Control System (ERTMS/ETCS) in Finland – Finland’s national implementation plan for the European Commission in 2017 , 2017 .

[10]  Rajkumar Buyya,et al.  Internet of Things: Principles and Paradigms , 2016 .

[11]  Tobias Bolten,et al.  Empowering People with Disabilities Using Urban Public Transport , 2015 .

[12]  Alan Raines,et al.  Coordinated traffic management through data exchange , 2008 .

[13]  Francis Franklin,et al.  Rail infrastructure, ITS and access charges , 2013 .

[14]  Padhraic Smyth,et al.  From Data Mining to Knowledge Discovery in Databases , 1996, AI Mag..

[15]  Rossano Schifanella,et al.  The shortest path to happiness: recommending beautiful, quiet, and happy routes in the city , 2014, HT.

[16]  Fei-Yue Wang,et al.  Traffic Flow Prediction With Big Data: A Deep Learning Approach , 2015, IEEE Transactions on Intelligent Transportation Systems.

[17]  Efraín Mayhua-López,et al.  Vehicle location system and monitoring as a tool for citizen safety using wireless sensor network , 2016, 2016 IEEE ANDESCON.

[18]  Christoph Schroth,et al.  From EDI to UN/CEFACT: An Evolutionary Path Towards a Next Generation e-Business Framework , 2006 .

[19]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[20]  Kenton O'Hara,et al.  Gamification. using game-design elements in non-gaming contexts , 2011, CHI Extended Abstracts.

[21]  Oded Cats,et al.  Improving Public Transport Decision Making, Planning and Operations by Using Big Data: Cases from Sweden and the Netherlands , 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

[22]  Cui Wei,et al.  Research on a DATEX II Based Dynamic Traffic Information Publish Platform , 2008, 2008 Second International Symposium on Intelligent Information Technology Application.