Option Transport et Véhicules Intelligents ESEO

Elective major - Transport and intelligent vehicles

Cross-disciplinary training in transport and intelligent vehicles

Innovation is the core business of the transport sector. The urban transport industry has to adapt both to ever more advanced technology and to the demands of increasingly congested urban mobility.

The design of an intelligent vehicle requires knowledge of information systems, electrical systems, mechanics and automation. There is a growing need to manage and analyse the functionalities of transport projects.

Apply Download the brochure

Campus : Paris-Vélizy
Prerequisites: Instrumentation, Signal and Data stream

Objective

ESEO places a strong emphasis on software and data dimensioning, but also on new information technologies and embedded systems. The course aims to train engineers with cross-disciplinary skills in the field of transport and intelligent vehicles.

The Intelligent Transport and Vehicles programme focuses mainly on concerns relating to road and urban vehicles, whether or not linked to a communicating and intelligent infrastructure.

To train engineers capable of designing, developing, integrating and implementing intelligent systems for the transport sector, particularly in the fields of Data, Cybersecurity and decision support.

Main areas

Digital vehicle architecture
Vehicle infrastructure
Artificial intelligence
Real-time data analysis
IoT

I am a candidate

Skills

The Vehicle and Intelligent Transport engineering option calls on a wide range of skills.

From year 4 (E4), areas such as project management and the scientific skills acquired in the core curriculum (E3) are developed in greater depth.

At the same time, students are made aware of the professions involved in autonomous vehicles, with modules dedicated to on-board electronics, sensors and cybersecurity linked to on-board systems.

80 hours dedicated to group projects enable them to apply what they have learned.
In the first semester of the final year (E5), technical modules reinforce knowledge:
- ADAS (Advanced Driver Assistance Systems)
- Mechatronics
- Decision support optimisation
The final 168 hours of the course are devoted to the Final Year Project (PFE).

Teaching units

Semester 8

Synthesis project: 8 ECTS – 16h

Networks & Data: 4 ECTS – 30h
- Advanced databases, information systems security
Engineering Sciences: 4 ECTS – 34h
- Basics of optimisation, Introduction to machine learning
Embedded Systems: 2 ECTS – 87.7h
- Vehicle dynamics, cyberSecurity applied to embedded systems, dSpace – RTMaps – Simulation, UTAC TVI Project
Intelligent Vehicle: 7 ECTS – 98h
- ECU and real-time electronics, On-board networks (CAN/FLEXRAY), Sensors (radar, linar, camera), Introduction to TVI systems, Human factor in human-machine interaction.