Traffic Management & Road Safety

Roadside Infrastructure for AVs - Sensors and Communication Training Course

Introduction

Autonomous Vehicles (AVs) are revolutionizing urban mobility, demanding a robust roadside infrastructure to ensure seamless communication, enhanced safety, and optimal traffic management. Roadside infrastructure, equipped with advanced sensors, V2X (Vehicle-to-Everything) communication, and IoT-enabled devices, acts as the backbone of connected autonomous ecosystems. Roadside Infrastructure for AVs - Sensors and Communication Training Course provides an in-depth exploration of state-of-the-art roadside technologies, emphasizing sensor integration, data-driven decision-making, and intelligent transportation systems (ITS).

The program equips participants with hands-on expertise in AV roadside deployments, real-time monitoring, predictive maintenance, and adaptive communication protocols. Through practical case studies and simulations, learners will gain insights into the challenges and opportunities of building scalable, reliable, and secure roadside infrastructures that support the next generation of autonomous mobility.

Programme Curriculum

Roadside Infrastructure for AVs - Sensors and Communication Training Course

Introduction

Course Duration

5 days

Course Objectives

Understand Autonomous Vehicle (AV) roadside infrastructure architecture and its critical components.
Explore sensor technologies including LiDAR, radar, cameras, and ultrasonic systems for AV communication.
Master V2X (Vehicle-to-Everything) communication protocols for real-time data exchange.
Analyze data collection and processing strategies for roadside AV sensors.
Evaluate Edge Computing and IoT integration in roadside infrastructures.
Learn intelligent traffic management systems leveraging AV sensors.
Understand safety, cybersecurity, and privacy protocols in AV roadside communication.
Study predictive maintenance and diagnostics for roadside sensor networks.
Explore AI and machine learning applications for anomaly detection and traffic prediction.
Gain knowledge of smart city integration and infrastructure scalability for AVs.
Investigate standards and regulations governing AV roadside deployment.
Analyze real-world case studies for successful AV infrastructure projects.
Develop hands-on skills in roadside sensor deployment, calibration, and performance optimization.

Target Audience

Transportation engineers and planners
Smart city solution architects
AV and connected vehicle developers
IoT and edge computing professionals
Traffic management authorities
Automotive OEM engineers
Infrastructure project managers
Researchers and academicians in intelligent transportation systems

Course Modules

Module 1: Introduction to Roadside Infrastructure for AVs

Overview of AV ecosystems and roadside components
Role of roadside sensors in autonomous mobility
V2X communication fundamentals
Infrastructure challenges in urban vs. rural areas
Case Study: Deployment of AV roadside sensors in Singapore

Module 2: Sensor Technologies for Roadside Applications

LiDAR, Radar, Ultrasonic, and Camera technologies
Sensor fusion techniques for accurate detection
Environmental and weather impacts on sensor performance
Calibration and testing protocols
Case Study: LiDAR-based traffic monitoring in Germany

Module 3: Communication Protocols and V2X

DSRC vs. C-V2X communication standards
Low latency and high-reliability data transmission
Vehicle-to-Infrastructure (V2I) communication design
Security and encryption in V2X networks
Case Study: Connected corridors in the USA

Module 4: Data Management and Edge Computing

Real-time data acquisition and processing
Edge vs. cloud computing for roadside sensors
Data analytics for traffic prediction
Integration with IoT networks
Case Study: Edge computing for AV traffic signals in Japan

Module 5: Intelligent Traffic Management Systems

Smart traffic lights and adaptive signaling
AV priority lanes and congestion management
Predictive modeling using traffic data
Simulation tools for traffic optimization
Case Study: AI-based traffic control in the Netherlands

Module 6: Safety, Security, and Cybersecurity

Risk assessment of roadside infrastructure
Cybersecurity protocols for V2X networks
Redundancy and fail-safe system design
Privacy concerns in sensor data collection
Case Study: Security breach mitigation in UK AV pilot projects

Module 7: Smart City Integration and Scalability

Integration of roadside AV infrastructure with smart city initiatives
Scalability challenges for dense urban environments
Policy and regulatory compliance
Sustainable infrastructure deployment
Case Study: Smart city AV corridors in Dubai

Module 8: Hands-On Deployment and Practical Case Studies

Sensor installation, calibration, and testing
Performance monitoring and troubleshooting
Field simulations for AV-roadside interaction
Real-world lessons learned from global deployments
Case Study: Multi-sensor roadside setup in South Korea

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

ms Word

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000