Smart Mobility (Intelligent Transportation Systems for Sustainable Mobility) is a course of the Master Degree in Road Infrastructures and Transport. This degree aims at training a highly professional figure in civil engineering with specific knowledge and skills in road infrastructures design and management and transportation issues.
Within this master's degree program, Smart Mobility course aims to offer students in-depth knowledge of transport systems in relation to recent availability of large amount of data on the mobility of people and vehicles.
Students will acquire the necessary skills to 1) simulate the flow of traffic in a dynamic environment; 2) to process the data acquired by traffic monitoring technologies; 3) designing modern traffic management and control systems; 4) sustainable mobility systems such as car sharing and car pooling.
At the end of the course the students will be able to 1) integrate data from different sources 2) design control systems for access ramps; 3) use automatic accident detection techniques; 4) use advanced transport information systems; 5) estimate travelling times; 6) design a car sharing system.
Within this master's degree program, Smart Mobility course aims to offer students in-depth knowledge of transport systems in relation to recent availability of large amount of data on the mobility of people and vehicles.
Students will acquire the necessary skills to 1) simulate the flow of traffic in a dynamic environment; 2) to process the data acquired by traffic monitoring technologies; 3) designing modern traffic management and control systems; 4) sustainable mobility systems such as car sharing and car pooling.
At the end of the course the students will be able to 1) integrate data from different sources 2) design control systems for access ramps; 3) use automatic accident detection techniques; 4) use advanced transport information systems; 5) estimate travelling times; 6) design a car sharing system.
teacher profile teaching materials
Data Analysis and Monitoring
Traffic Flow Theory
Optimization and Simulation Models
Applications:
- Ramp Metering
- Automitic Incident Detection
- Variable Speed Limit
- Travel Time Estimation
- Examples and case studies on dynamic models and sharing mobility applications
Programme
Introduction on Sustainability and Intelligent Transportation SystemsData Analysis and Monitoring
Traffic Flow Theory
Optimization and Simulation Models
Applications:
- Ramp Metering
- Automitic Incident Detection
- Variable Speed Limit
- Travel Time Estimation
- Examples and case studies on dynamic models and sharing mobility applications
Core Documentation
LECTURE NOTES.Type of delivery of the course
In case of an extension of the health emergency from COVID-19, all the dispositions that regulate the methods of carrying out the teaching activities will be implemented. In particular, the following methods will apply: online streaming and/or audio recording of the teaching material.Type of evaluation
2 intermediate written tests, 1,5 hour long each, with open answers to theoterical questions. Final oral test aimed at assessing acquired skills. teacher profile teaching materials
Travel demand calibration and related applications
Sharing mobility
Programme
Dynamic Traffic Assignment and related Simulation SoftwareTravel demand calibration and related applications
Sharing mobility
Core Documentation
PPT presentations and additional materials made by the lecturerReference Bibliography
PPT presentations and additional materials made by the lecturerType of delivery of the course
Lectures are complemented by presentations of operational examples and case studiesType of evaluation
There are two ongoing evaluations. The oral exam verify the theoretical knowledge.