Politecnico di Torino
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Politecnico di Torino
Academic Year 2016/17
01QWWBH
ICT in transport systems
Master of science-level of the Bologna process in Ict For Smart Societies - Torino
Teacher Status SSD Les Ex Lab Years teaching
Pronello Cristina ORARIO RICEVIMENTO AC ICAR/05 30 19.5 10.5 1
SSD CFU Activities Area context
ICAR/05
ING-INF/03
4
2
C - Affini o integrative
B - Caratterizzanti
Attività formative affini o integrative
Ingegneria delle telecomunicazioni
Subject fundamentals
The course, through theoretical lessons and practical works using real data and specific case studies, is focused at giving to the students a scientific approach to transport engineering with a special focus on ITS (Intelligent Transport Systems), helping them to acquire an integrated vision among transport and ICT.
After a first brief introduction on the concept of transport systems and transport planning, the monitoring methods of transport systems as well the data collection and the techniques to describe the system demand-supply both through mathematical models and demand-supply interaction models will be presented.
The main part of the course is focussed on the issues related to the implementation of sustainable transport systems and to the transport demand management, considering the interaction between transport and ICT as well the evaluation of the effects of ITS and new technologies on travel behaviour.
The course gives an overview of ITS, technological innovations and their applications to different transport modes. Then, the traveller information systems are presented with a main focus on the data needed to design them and a special attention to big and open data. Case studies and examples of applications will support the full understanding of the field.

N.B.: Il corso prevede un percorso apposito per gli studenti stranieri (Erasmus, Bilateral Agreement, Double Degree), in lingua inglese. Nelle diverse sezioni della scheda, quando necessario, tale percorso è preceduto dalla sigla EN (English). Per la versione in inglese della scheda nel suo complesso si rimanda alla versione in lingua della stessa.
Expected learning outcomes
The knowledge acquired all along the course is both methodological and applied.
The methodological knowledge is based on theories and methods allowing the development of the ability to design "smart" transport systems through the ICT use and to critically analyse the existing transport systems to make them progressing towards a greater sustainability, also thanks to the support of the new technologies. More precisely, the student will be able to explain the main components and technologies of ITS and to relate them with the key concepts and components of the ITS systems architecture and the basic design of traveller information systems, for all transport modes. Furthermore, the study of the data collection methods and the use of big data allows to analyse the mobility under a new perspective, evaluating when and how such data can be used for forecasting and which is their reliability in regards to the traditional methods.
The applied knowledge is acquired through the experimental work carried out during the course that provides the analysis of real cases to which apply the learned theories. For example, the students learn how to calculate the transport costs in different scenarios, allowing the development of the ability to forecast the users’ modal choice and to design information systems facilitating the trips using different transport modes (intermodality).
The theoretical knowledge acquired during the course allows to develop: a) the ability to consider mobility within a complex framework in which ICT interacts with transport systems; b) the ability to carry out applications allowing to decision makers a better management of mobility and to users a better planning of their trips, making them more sustainable; c) the ability to analyse mobility data (also big data), through advanced statistical techniques and data mining, and to use them for giving specific and tailored information to users; d) the ability to evaluate the effects of ICT on travel behaviour and to find out the limits of their development; e) the ability to understand the implementation of ITS applications to public transport, to fleets management, to traveller information systems and to the transport demand management.
Prerequisites / Assumed knowledge
The student must know the basic concept of informatics as well of mathematics and algebra. It is also essential that the student know the basic concepts of statistics. Related to transport field, the student must have acquired the knowledge on demand and supply, fundamental in transport economics.
Contents
INTRODUCTION TO TRANSPORT SYSTEMS (1 hour)
Definition of the transport systems. Concepts of demand and supply. The objectives of the transport planning: the problems of the transport systems, the different geographical and territorial scales, the impact on safety, on environment and on the economics. The relationship between transport and ICT, with particular focus on ITS (Intelligent Transport Systems).

THE NEW TECHNOLOGIES FOR TRANSPORT SYSTEMS MANAGEMENT AND THE INTELLIGENT TRASPORT SYSTEMS (ITS) (9 hours)
The European policies for the development of transport systems. Main European regulations with focus on ITS and the evolution of the transport systems of the future (smart and sustainable mobility).
Fundamentals of ITS, systems standards and architecture. Application of ITS to transport innovation, to mobility management and to transport policies definition.
Presentation of technologies to manage public transport: a) Advanced Communications Systems (ACS); b) Automatic Vehicle Location (AVL) Systems; c) In-Vehicle Diagnostic Systems; d) Automatic Passenger Counter Systems; e) Electronic Payment Systems; f) Real time fleet management systems.
The connected vehicles (V2V, V2I).

THE DATA COLLECTION FOR TRANSPORT DEMAND AND SUPPLY (9 hours)
The data collection and the monitoring of transport demand and supply. The travel surveys: different typologies of travel surveys – quantitative and qualitative – and the surveys’ administration. Example of questionnaire design. The traffic measurement.
The use of big data for transport. The use of social media in the data collection. The open data.

OUTLINE ON TRANSPORT MODELS (6 hours)
The transport supply. The areas considered in a transport plan: individuation and relations with the external areas. Zoning of the transport plan areas. The zones’ size and the centroids. The concept of origin and destination. The graph: nodes and links. The relationships between the cost and the flow on the link: the route.
The operational cost in the transport sector. The generalised cost. The external costs of transport.
The transport demand. Methods to quantify the transport demand.
The transport demand models. General structure of the transport demand models. The four steps models: generation models, distribution models, modal choice and assignment.
The behavioural models: discrete choice models (logit and probit).

ICT SOLUTIONS FOR THE TRANSPORT POLICIES AND MOBILITY MANAGEMENT (SMART MOBILITY AND SMART CITIES) (15 hours)
The transport policies: mobility management and sustainable mobility. Behavioural theories and travel behaviour. How make people involved in the decisional process through the use of new technologies. Evaluation of the effects of ICT on the travel behaviour. Evaluation of ICT effects on travel behaviour.
Decision Support Tools (DST) for the mobility management, definition of Key Performance Indicators (KPIs) and visualization of the indicators through the design of dashboards.
Solutions for the smart mobility and smart liveable cities.
Delivery modes

The module related to the project (about 20 hours) is focused to develop numerical applications related to the theoretical issues acquired during the lessons, notably on the following topics:
 Data collection and extraction from open sources and/or API for the analysis of sharing mobility systems (10 hours).
 Analysis of data related to car and/or bike to define mobility patterns and to measure performance indicators of the systems (parking occupation, costs, etc.) (10 hours).

EN: Tutoring and practical works during the course will be in English for foreign students. Lessons will given in Italian, but slides, specific tutoring and explanations will be given in English. Furthermore, topics of the lessons will be coherent with texts, readings and lecture notes as reported in the course programme.
Texts, readings, handouts and other learning resources

The nature of the course and the available references do not allow to have only one textbook and the attendance to the course is fundamental for an effective learning process.
During the course (at each time) proper textbooks, in English and Italian, will be suggested to complete the training process. As an example, some topics are contained in the following textbooks:
 ICT for transport: opportunities and threats. Thomopoulos N., Givoni M., Rietveld P. (Eds.). NECTAR series on Transportation and Communications Networks Research, Cheltenham: Edward Elgar. 2015. ISBN 978 1 78347 128 7.
 Modelling Transport, 4th Edition. Juan de Dios Ortúzar, Luis G. Willumsen. Wiley 2011. ISBN: 978-0-470-76039-0
 Urban Transportation Planning, MEYER M., MILLER E.J. McGraw-Hill 2001
Concerning specific topics, ad hoc material (articles, reports, etc.) will be uploaded on the Politecnico web site (teaching portal).
Assessment and grading criteria
Evaluation of the interim works that students have prepared during the course and interaction with the professor while working and in debating the topics of the lessons will be the basis for evaluating the student’s learning during the course and at the final exam.
The exam implies an oral communication on the topics dealt with during the course and to carry out, all along the course, some applied works on the topics explained during the lessons. These works are based on the use of data and/or maps given by the professor and they will be evaluated assigning a score. The oral exam will be possible only if the students will get a score greater or equal to 18/30.

Programma definitivo per l'A.A.2016/17
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