Traffic Management & Road Safety

AV Testing Protocols and Public Safety Considerations Training Course

Introduction

The rapid deployment of Autonomous Vehicles (AVs) has created a critical need for robust AV testing protocols, advanced safety validation frameworks, and standardized approaches to regulatory compliance. As cities evolve into smart mobility ecosystems, transportation agencies, policymakers, engineers, and operators must integrate cutting-edge validation tools, real-world simulation models, and risk-mitigation strategies to ensure public trust. AV Testing Protocols and Public Safety Considerations Training Course provides a comprehensive and timely overview of the latest AV safety assessments, scenario-based testing, sensor reliability evaluation, and human-machine interaction (HMI) safety considerations that define today’s mobility landscape.

Public safety remains at the heart of autonomous technology adoption. Professionals must understand how to evaluate edge-case scenarios, perform failure mode analysis, enforce cyber-physical security safeguards, and uphold ISO 26262, UL 4600, and SAE standards. This intensive program equips industry stakeholders with the skills to design, implement, and audit AV testing environments, apply data-driven safety metrics, and manage community expectations while promoting responsible innovation.

Programme Curriculum

AV Testing Protocols and Public Safety Considerations Training Course

Introduction

Course Duration

5 days

Course Objectives

Participants will be able to:

Apply scenario-based AV testing frameworks aligned with global regulatory standards.
Evaluate sensor fusion reliability using advanced perception validation techniques.
Conduct failure mode & effects analysis (FMEA) for autonomous systems.
Implement simulation-driven safety testing using digital twins and synthetic datasets.
Assess cybersecurity risks in AV safety-critical systems.
Integrate ISO 26262 functional safety requirements into test planning.
Develop AV safety performance indicators (SPIs) and risk-scoring models.
Analyze LiDAR, radar, and camera performance under real-world stress conditions.
Apply operational design domain (ODD) mapping for safe deployment.
Evaluate HMI safety for autonomous passenger and commercial vehicles.
Compare global AV safety regulations, including SAE, EU, and NHTSA frameworks.
Conduct accident reconstruction and root-cause analysis in AV incidents.
Design public safety engagement strategies for AV testing environments.

Target Audience

AV engineers and test operators
Transportation safety regulators
Smart mobility program managers
Automotive OEM and Tier-1 engineers
Public safety and emergency response teams
City planners and transportation policymakers
Risk and compliance officers
Academic researchers in autonomous mobility

Course Modules

Module 1: Foundations of AV Safety & Testing Frameworks

Evolution of AV technology and safety milestones
Overview of safety frameworks (SAE, NHTSA, EU AV regulation)
AV system architecture fundamentals
Core safety metrics and testing benchmarks
Understanding ODD boundaries
Case Study: Waymo ODD expansion strategy and safety validation approach.

Module 2: Sensor Systems & Perception Validation

LiDAR, radar, and camera calibration essentials
Sensor fusion validation workflows
Environmental stress testing
Blind spot and occlusion scenario assessment
Dataset labeling quality requirements
Case Study: Tesla Autopilot perception challenges in low-light scenarios.

Module 3: Scenario-Based Testing & Digital Twin Simulation

Synthetic scenario generation
Digital twin integration for AV modeling
Edge-case simulation and stress testing
Closed-course vs. open-road scenario evaluation
Simulation-to-reality correlation methods
Case Study: NVIDIA DRIVE Sim use in scenario-based safety modeling.

Module 4: Functional Safety & System Failure Analysis

ISO 26262 requirements and safety lifecycle
Safety integrity levels (ASIL)
Hardware and software safety validation
Failure Mode & Effects Analysis (FMEA)
Redundancy and fallback system design
Case Study: Volvo’s redundancy strategy for L4 autonomous trucks.

Module 5: Cybersecurity & Cyber-Physical Safety Risks

AV cybersecurity threat landscape
Secure data pipelines and encryption
Vulnerability assessment frameworks
Over-the-air update risks and mitigations
Incident response and forensics
Case Study: Jeep Cherokee remote hacking and implications for AV safety.

Module 6: Human-Machine Interaction & Passenger Safety

HMI design for autonomous controls
User trust and behavior modeling
In-vehicle alerting systems
Pedestrian communication cues
Accessibility considerations
Case Study: Cruise AV pedestrian interaction experiments.

Module 7: AV Incident Response & Public Safety Coordination

Emergency response procedures for AV crashes
Fire, battery, and hazardous material protocols
Coordination with police, EMS, and DOT
AV crash reporting standards
Community safety communication strategies
Case Study: San Francisco first-responder protocols for robotaxi incidents.

Module 8: Deployment Readiness, Compliance & Safety Documentation

Pre-deployment safety audits
Safety case creation (UL 4600)
Regulatory approval workflows
Public road testing requirements
Continuous monitoring and improvement systems
Case Study: Zoox safety case documentation and approval pathway.

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

Aimsun Next Eclipse SUMO PTV Vissim TRANSYT

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