MIT Research-Based Education

MIT Deep Learning
Series

Eight comprehensive modules drawing on MIT research across human factors, traffic systems, system safety, distraction, driver behaviour, vulnerable road users, ADAS, and intelligent transport systems. Each module is 20 slides of in-depth, evidence-based content.

🎓 Sources: MIT AgeLab · MIT AVT · MIT CSAIL · MIT LIDS · MIT 16.63J
8Modules
160Slides
MITResearch Based
PDFPrint Ready

8 Modules — Click to Open

All modules — evidence, not opinions

Each module distils peer-reviewed MIT research into clear, print-ready slides. Open in browser and use File → Print → Save as PDF for A4 output.

Module 01 · MIT AgeLab · CSAIL
Human Factors
in Driving

How human perception, cognition, and physiology shape driving performance. Covers reaction time, attention limits, visual processing, situational awareness, and why human error is the root of most crashes.

Perception Reaction Time Visual Processing Situational Awareness Cognitive Load
Module 02 · MIT LIDS · CTESP
Traffic Flow
& Systems

The science of how traffic flows, breaks down, and recovers. Covers flow-density-speed relationships, shockwaves, motorway capacity, merging dynamics, and DynaMIT real-time simulation.

Flow Theory Shockwaves Capacity DynaMIT Motorway Dynamics
Module 03 · MIT 16.63J — System Safety
System Safety &
Accident Analysis

Why crashes are never just "driver error." Swiss Cheese model, STAMP, CAST investigation methodology, Haddon Matrix, Safe System, Vision Zero, and how to investigate and prevent crashes at the systems level.

Swiss Cheese STAMP / CAST Haddon Matrix Safe System Vision Zero
Module 04 · MIT AgeLab — Distraction Research
Driver Distraction
& Technology

The 27-second cognitive residue effect, AAA distraction scale, 23× crash risk from texting in an HGV, phone vs. alcohol comparison, automation complacency, PERCLOS drowsiness research, and evidence-based countermeasures.

27-Second Effect AAA Distraction Scale PERCLOS Inattention Blindness Smartphone Risk
Module 05 · MIT CSAIL · AgeLab
Driver Behaviour
& Psychology

Dual Process Theory, risk homeostasis, Social Value Orientation, aggressive driving psychology, young driver neuroscience (PFC maturity), older driver adaptation, behaviour change science, and the GDE Matrix.

Dual Process Theory Risk Homeostasis Social Value Orientation GDE Matrix Behaviour Change
Module 06 · MIT AVT · CSAIL
Vulnerable
Road Users

Pedestrian biomechanics, MIT CSAIL speed underestimation research, SMIDSY mechanism, cyclist safety, motorcyclist PPE effectiveness, night-time detection distances, VRU AEB effectiveness, speed vs. survival data.

Pedestrian Biomechanics SMIDSY Cyclist Safety Night Detection VRU AEB
Module 07 · MIT AVT · AgeLab
ADAS &
Autonomous Vehicles

SAE L0–L5 automation levels, MIT AVT naturalistic driving data, takeover time research (2s to 5s+ as engagement increases), AEB mechanics and effectiveness, ISA, DMS, Euro NCAP, AV ethics, and correct ADAS use.

SAE L0–L5 Takeover Time AEB Effectiveness ISA / DMS Euro NCAP
Module 08 · MIT CTESP · LIDS
Intelligent
Transport Systems

DynaMIT real-time prediction, variable speed limits (28–36% crash reduction), ramp metering, SCATS signal control, SPECS average speed cameras, V2X C-ITS communications, TMC operations, and ITS in Ireland.

DynaMIT Variable Speed Limits V2X / C-ITS SPECS Cameras Traffic Management

About This Series

Research foundation & how to use

Every module draws on named MIT researchers, specific datasets, and peer-reviewed studies — not generic safety messaging.

Research Foundation

  • MIT AgeLab — distraction, older drivers, ADAS behaviour
  • MIT AVT Consortium — naturalistic driving, ADAS effectiveness
  • MIT CSAIL — pedestrian prediction, AV ethics, Social Value Orientation
  • MIT LIDS — DynaMIT, traffic flow, signal control, AID
  • MIT CTESP — transport policy, sustainability, crash prediction
  • MIT 16.63J System Safety — STAMP, CAST, Leveson

How to Print to PDF

  • Open any module in a browser to view all slides
  • Use File → Print → Save as PDF (Ctrl+P / Cmd+P)
  • Set paper size to A4 portrait, margins to none/minimum
  • Each slide prints as one A4 page — 20 pages per module
  • Source citations appear in each slide footer
  • All modules can be used independently or as a full series

Content Depth

  • Driver level: Practical safety implications for everyday driving in Ireland
  • Instructor level: Full academic depth — named researchers, specific data, mechanisms
  • Named research: Every key finding is attributed to specific MIT researchers and studies
  • Ireland-specific: Each module includes Irish statistics, Irish deployments, and Irish legislation

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