Smart Mobility

Transportation Engineering and Mobility

Study Plans Common Subjects

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Common Subjects

A significant amount of common topics are shared by all curricula, ensuring that 65% of the teaching schedule is shared. This is an optimal compromise between a solid common transport engineering culture and the flexibility to accommodate your aptitude and professional vision.

Year	Semester	Subject	ETCS
1	1	Language skills	3
1	1	Positioning and location-based services	9
1	1	Systems and Control Fundamentals	9
1	1	Electric Systems in Transportation	9
1	2	Road safety	9
1	2	Intelligent Transportation Systems	9
1	2	Machine Learning and Big Data	9
1	2	Lab Smart Infrastructures	2
2	2	Lab / Internship	7
2	2	MSc Thesis	12

Smart Mobility

Choose Smart Mobility if your attitude is toward digital technologies or if you believe the future of mobility lies in the connection and interoperability of vehicles, infrastructure, and services. We will take you by hand to apply new digital technologies to transportation. Regardless of your engineering background, you will be ready to face new challenges in transportation.

Smart mobility and new technologies are profoundly transforming the transportation industry, offering innovative solutions to longstanding challenges such as congestion, pollution, and inefficiency. Key trends characterize the development of the Smart Mobility paradigm:

Autonomous Vehicles (AVs): Self-driving cars are being developed by companies like Tesla, Waymo, and Uber. These vehicles have the potential to improve safety, reduce traffic congestion, and provide greater accessibility to people who cannot drive.
Ride-Sharing and Mobility as a Service (MaaS): Companies like Uber and Lyft have popularized ride-sharing services, while Mobility as a Service platforms are integrating various transportation options (bikes, scooters, public transit, ride-sharing) into a single, convenient app.
Connected Vehicles: IoT technology allows vehicles to communicate with each other and infrastructure, enhancing safety and optimizing traffic flow. V2X (Vehicle-to-Everything) communication can reduce accidents and improve congestion management.
Smart Traffic Management: Advanced traffic management systems use real-time data to optimize traffic flow, reduce congestion, and enhance safety. This includes adaptive traffic signals and predictive analytics.
AI and Predictive Analytics: Machine learning algorithms are being used to predict traffic patterns, optimize routes for delivery trucks, and provide personalized transportation recommendations.
Urban Planning and Smart Cities: Integrated urban planning and the development of smart cities are crucial for creating efficient and sustainable transportation systems that incorporate the latest technologies.
Regulation and Policy: Governments worldwide are developing rules to address the challenges and opportunities presented by new transportation technologies, balancing innovation with safety and environmental concerns.

Integrating these technologies and trends into transportation systems can reduce congestion, lower emissions, increase accessibility, and improve overall mobility. However, challenges like regulatory hurdles, infrastructure development, and public acceptance will continue to shape the evolution of smart mobility in transportation.

Specific Subjects

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Digital Maps and Geological 3D Models

1st semester, 9 ETCS

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Traffic Control

1st semester, 9 ETCS

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Unmanned Aircraft Systems for Transportation and Mobility

1st semester, 6 ETCS

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Real-time Systems

2nd semester, 9 ETCS

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Railway and Transit Services

2nd semester, 9 ETCS

Key information for entry

Awards	Level 2
Mode of Study	Full Time
Duration	2 years
Location	21, via Claudio - 80125 Napoli (Italy) - https://goo.gl/maps/uy9Tq7ve6jELv5io7

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Entry Requirements:

Candidate students require a level 6 qualification (or above), according to the European Qualifications Framework (EQF). Moreover, they should provide evidence of English language proficiency at level B2 or above (otherwise, individual English proficiency testing could be done immediately after enrolment). For non-EU candidate students, a B2 English certificate is strictly needed. A certificate issued by the bachelor's degree University or an MOI (Medium of Instruction) certificate is also accepted.

The MSc in Transportation Engineering And Mobility preferably requires a bachelor's in Engineering. Otherwise, particular conditions must be checked:

At least 36 ETCS in basic sciences (maths, physics, etc.)
At least 39 ETCS in industrial engineering, information, and communication technology, or civil engineering; of these, at least 18 ETCS in civil engineering.

Non-EU candidates must follow a pre-admission roadmap for obtaining a visa to study in Italy.

For more admission information, see the relevant web page.