Vehicle Connectivity

Objectives

The aim of the course is to empower students to understand the motivation and advantages of the connectivity systems present in vehicles.

Vehicle connectivity is still evolving, which is why this course will have a more practical approach, in which students will need to reach the ability to create future vehicle connectivity systems.

Learning outcomes

• Know and apply the principles of buses and communications networks in the design of connectivity and IoT systems for the automotive industry.
• Discover and apply to your vehicle's final electronic equipment (Advanced Driver Assistance Systems (ADAS) Body Electronics a & Lighting, Hybrid, Electric & Powertrain Systems, Infotaiment & Cluster, Passive Safety, etc.)
• It is developed in complex situations or that require the development of new solutions, both in academia and at work or in the professional field.
• Demonstrates skills for critical reflection in the processes linked to the exercise of the profession.
• Communicates to all types of audiences (specialised or not) in a clear and precise way knowledge, methodology, ideas, problems and solutions in the field of their field of study.

Competencies

General skills

• Desire to take part in lifelong learning, innovate, create value and acquire new knowledge.

Specific skills

• Know the principles of analogue and digital electronics, electronic instrumentation and microprocessor-based systems, and this knowledge in the design of embedded systems and electronic instrumentation and control systems for the automotive engineering sector.
• Understand the basic principles of use and programming of computers, operating systems, databases, software applications in engineering, industrial computing and communications networks, and apply this to engineering in general and to the design of connectivity systems in the automotive sector.

Basic skills

• Students can apply their knowledge to their work or vocation in a professional manner and have competencies typically demonstrated through drafting and defending arguments and solving problems in their field of study.
• Students can communicate information, ideas, problems and solutions to both specialists and non-specialists.

Core skills

• Exercise active citizenship and individual responsibility with a commitment to the values of democracy, sustainability and universal design, through practice based on learning, service and social inclusion.
• Interact in international and worldwide contexts to identify needs and and new contexts for knowledge transfer to current and emerging fields of professional development, with the ability to adapt to and independently manage professional and research processes.

Content

1. Theoretical foundations of connectivity
   1. Distributed systems
   2. Databases and Big Data
   3. Cloud computing
   4. Wireless networks
   5. IOT
   6. Software as a service
   7. Artificial intelligence
2. Communication technologies
   1. Short and mid range technologies
   2. TCP/IP communications
   3. Mobile communications
3. Intelligent transport systems (ITS)
4. Current applications of connected vehicles
   1. Focused on the user
   2. Vehicle optimisation and maintenance
   3. Road safety
   4. Fleet and transit management
5. Design of applications for connected vehicles

Evaluation

NF = 25% PC + 15% min (P1, ERP1) + 15% min (P2, ERP2) + 45% min (EF, ERF)

• PC = Participation in class = 5% Observation + 10% Work in class + 10% class exams
• P1 = Project delivery
• P2 = Project exam
• EF = Final exam

Recovery (up to 50% of the subject)

Students will be able to recover up to 50% of the final grade of the subject, as follows:

• Recovering 40% of the final exam (ERF)
  • The mark obtained replaces the grade of the exam that you want to recover: both higher and lower.
  • Date: View schedules (calendar icon, virtual campus)
• Individual evaluation
  Retrieving only one block from the two practice blocks (10% ERP1, 10% ERP2)
  • The mark obtained (10%) replaces the mark of the recovered practice block (ERP1, ERP2 or ERP3).
  • Exam type test
  • Date: View schedules (calendar icon, virtual campus)

Methodology

It is imperative that students bring a personal computer with them to the classroom. This computer must have internet connection and web browser.

Some exercises would be done through edpuzzle, each student must sign for a free account.

The course is taught in 10 theoretical and practical sessions daily for two weeks.

This subject will be taught with the Flipped classroom methodology (inverted learning) where students are the core of learning / research and in class the teacher plans activities to put into practice what they have learned and evaluates them.

At the beginning of each session, the theory that underlies practical work will be presented. The theory and exercises will be presented related to contexts specific to the automotive sector.

During the sessions exercises will be proposed for the students to solve independently, which will have to be delivered. The resolution of these exercises is key to properly follow the course and pass the exams favorably.

Students will have to work in groups to present and defend a project related to the concepts seen in the subject Vehicle Connectivity.

It is recommended to consult the Work Plan uploaded to the UVic-UCC virtual classroom of the subject.

Bibliography

Bibliography

• Juan Antonio Guerrero-ibanez ; Sherali Zeadally ; Juan Contreras-Castillo (2015). Integration challenges of intelligent transportation systems with connected vehicle, cloud computing, and internet of things technologies. Retrieved from https://ieeexplore.ieee.org/abstract/document/7368833
• SIVA R. K. NARLA (2013). The Evolution of Connected Vehicle Technology: From Smart Drivers to Smart Cars to... Self-Driving Cars. Retrieved from https://pdfs.semanticscholar.org/b808/c3a8ca2f70d223e0cdf69867fab0a39473fb.pdf

Reading

Teachers will provide complementary bibliography and compulsory reading throughout the course via the Virtual Campus.