Intelligent Transportation Systems (ITS), is increasing its footprint, with the introduction of the Big Data, Artificial Intelligence (AI) and IoT. The Intelligent Transportation Systems (ITS) of yesterday are in a way becoming legacy systems as the new technology is rapidly developing and it is creating new opportunities. It is are more and more user centric, and no longer are the drivers at the core of the systems, as the Intelligent Transportation Systems (ITS) is now having vehicles and infrastructure at its core, while all other users are the beneficiaries of the system.
What you’ll learn
- Identify the Intelligent Transportation Systems (ITS) possibilities
- Learn the details of Intelligent Transportation Systems (ITS) innovation streams
- Acquire the knowledge related to IoT and AI in Intelligent Transportation Systems (ITS)
- Learn the data visualization requirements for successful Intelligent Transportation Systems (ITS)
- Adopt the modern technologies across the whole mobility sector
- Recognize the benefits of Intelligent Transportation Systems (ITS) technologies in other areas
- Accelerate their career development
- Adopt the use of data from Intelligent Transportation Systems (ITS) systems to improve road asset management
Requirements
Candidates must;
- Be proficient in English Language
- Have access to either a computer or smartphone with Internet Connectivity.
- Be equipped with quality webcam and headphones
Duration & Fees
- Regular – 8 Weeks – ₦200,000
- Fast-Track – 6 Weeks – ₦300,000
Program Dates
- August – October, 2024
- October – December, 2024
- February – April, 2025
- May – July, 2025
Curriculum
- 5 Sections
- 26 Lessons
- 10
- Module 1: Intelligent Transportation Systems (ITS) and Big Data5
- 1.1Big Data Use in Intelligent Transportation Systems (ITS) Projects
- 1.2Data Visualization for Urban Planning
- 1.3Intelligent Transportation Systems (ITS) Data Collection and Analysis
- 1.4The Data Sources and Its Correlation in Intelligent Transportation Systems (ITS)
- 1.5Data Sharing and Additional Data Sources
- Module 2: Intelligent Transportation Systems (ITS) and Artificial Intelligence (AI)6
- 2.1Artificial Intelligence in Traffic Control and Monitoring Systems
- 2.2Artificial Intelligence in Vehicles
- 2.3Pattern Recognition and Use of Drones
- 2.4Traffic Signs Recognition and Navigation Map Updates
- 2.5Intelligent Transportation Systems (ITS) for Self-driving Cars
- 2.6The Multi-layered Traffic System
- Module 3: Urban Mobility Improvement Through ITS5
- Module 4: The ITS and IoT for User Centric Design5
- Module 5: Intelligent Transportation Systems (ITS) Sustainability5
- 5.1Intelligent Transportation Systems (ITS) Sources of Finance
- 5.2Intelligent Transportation Systems (ITS) Cost Reduction Analysis
- 5.3Intelligent Transportation Systems (ITS) Adaptation for Road Asset Management
- 5.4Intelligent Transportation Systems (ITS) as a Profit Center
- 5.5The future of Intelligent Transportation Systems (ITS)
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