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LAB · 01 / SEE

SEE Living Lab

A research-to-society traffic-safety laboratory built on four packages — Sense, Engage, Evolve, and Extension — that equip Vietnamese adolescents, schools, families, and authorities with evidence-based learning, virtual reality practice, and spatial analytics for safer streets.

Road Safety VR Training Eye-Tracking Gamification Spatial Analytics
ROAD SAFETY RESEARCH LAB · ISCM · UEH

Strengthening Road Safety
for Road Users in Vietnam

SEE Living Lab is a pioneering platform dedicated to road safety — using gamification, immersive VR, eye-tracking, and machine learning to help road users identify hazards, build safe behaviours, and create lifelong responsible habits. As one of the first specialised road safety research labs in Vietnam, the lab generates actionable, evidence-based insights that directly support policymakers in designing effective interventions.

Road Safety Behaviours Hazard Perception VR Simulation Gamified E-Learning Safe-Route Mapping Evidence-based Policy
Eye-Tracking · Hazard Perception · VR Simulation — Drag to Orbit · Click Risk Vehicles
SEE LIVING LAB · VR HAZARD PERCEPTION SIMULATOR
Eye-tracking Gaze
High-Risk Vehicle
Normal Traffic
R2S · ROAD TO SAFETY PROGRAMME
CLICK A HIGH-RISK VEHICLE (with white gaze particles & pulsing ring) to see the eye-tracking hazard analysis from SEE Lab research. Drag to orbit.
15+
Publications
5+
Countries
SDG 4
+ SDG 11
4
Research Packages
15+
Publications
5+
Countries
<18
Target Learners
VR
+ Eye-Tracking
2026
Roadmap Start
R2S ROAD SAFETY · SEE LAB RESEARCH FRAMEWORK
SENSE · PKG 01 — GAMIFICATION & E-LEARNING Traffic rule gamification · Knowledge scoring · Peer learning · Adolescent behaviour change Sense ENGAGE · PKG 02 — VR SIMULATION & EYE-TRACKING Immersive hazard scenarios · Gaze fixation analysis · Pupil dilation metrics · Driver response training Engage EVOLVE · PKG 03 — GIS & SPATIAL ANALYTICS Safe-route mapping · Crash cluster analysis · ML hazard classification · Location-aware behaviour data Evolve EXTENSION · PKG 04 — ASEAN SCALE & POLICY TRANSFER School programme deployment · Family engagement · SPSM framework · Cross-border safety evidence Extension SEE PLATFORM Behavioural Research & Safety Training Field Deployment · Impact Measurement Evidence-based Curriculum Design VR TOOLS immersive training hazard scenarios RISK MAPS safe-route data spatial analytics POLICY BRIEF SDG 4 · SDG 11 ROAD SAFETY INTELLIGENCE FOR VIETNAM'S YOUTH AND COMMUNITIES
Phan Le Truong An
LAB LEAD
Phan Le Truong An, PhD Candidate
SEE Living Lab · ISCM–UEH
Senior Researcher
FOUR PACKAGES

From classroom knowledge to street-ready behaviour

Each package layers onto the last: learners sense the risks, engage in immersive practice, evolve their skills through spatial feedback, and extend the model across cities and partner nations.

PACKAGE 1 · SENSE

R2S Education

Virtual learning platform

A gamified e-learning platform teaching traffic rules, risk perception and safe-riding behaviour to secondary-school adolescents. Built on published research and validated with Vietnamese students.

PACKAGE 2 · ENGAGE

R2S VR Cycling

Hybrid VR platform

An immersive virtual-reality cycling simulator lets learners practise scanning, signalling and hazard response in realistic urban scenes — without the risk of real traffic.

PACKAGE 3 · EVOLVE

R2S Map

Spatial analytics platform

A GIS-based dashboard mapping crash clusters, school catchments, and child-friendly walkability — translating behavioural evidence into street-level policy insight.

PACKAGE 4 · EXTENSION

Spatial Problem–Solution Mapping

Cross-city extension

A transferable framework scaling R2S learning and analytics to new cities and partner nations (India, Nepal, ASEAN), turning local evidence into comparable regional policy.

RESEARCH ROADMAP · 2026–2030

Four Work Packages — Sense, Engage, Evolve, Extended

The LELP platform is built across four sequenced work packages, each translating behavioural observation into evidence and technology, culminating in a cross-city living lab by 2030.

2026 — 2027
Package 1 · Sense

R2S Education

Gamified e-learning, baseline surveys, school pilots, and first measurement of students' traffic-safety knowledge and behaviours.

2027 — 2028
Package 2 · Engage

R2S VR Cycling

Hybrid VR simulator for hazard perception, scanning, signalling, and safe route practice in realistic urban traffic scenarios.

2028
Package 3 · Evolve

R2S Map

Spatial analytics connecting school catchments, crash clusters, walkability audits, and LELP location data for route-level insight.

2029 — 2030
Package 4 · Extended

Problem-Solution Mapping

Cross-city living lab expansion across Vietnam and partner contexts, turning local evidence into comparable policy guidance.

Learning Student modules, quizzes, certificates, and school-based implementation evidence.
Behaviour VR performance, hazard response, eye-tracking, and transfer-to-road indicators.
Spatial Data Dashboard layers for risks, school zones, safe routes, and behavioural hotspots.
Policy Replicable intervention toolkit for cities, agencies, schools, and regional partners.
ARCHITECTURE · SLIDE 6

Structure of the Interactive Platform

The SEE Living Lab is built on a unified, scalable architecture that connects four front-end platforms through a shared data backbone — enabling consistent measurement, cross-package comparison, and evidence-based reporting.

Front End — Four R2S Platforms
PKG 1 · SENSE
R2S Education
Gamified e-learning for traffic knowledge & skills
PKG 2 · ENGAGE
R2S VR Cycling
Hybrid VR simulator for hazard perception
PKG 3 · EVOLVE
R2S Map
Spatial analytics & safe-route mapping
PKG 4 · EXTENSION
SPSM
Spatial Problem–Solution Mapping for cross-city scale
Local input
PKG 1 data
Local input
PKG 2 data
Local input
PKG 3 data
Local input
PKG 4 data
Data flow to Back End
Back End — Data Pipeline
Collection Learner interactions, sensor streams, survey responses
Storage Centralised, structured data repository
Cleaning Deduplication, normalisation, quality checks
Analysis Statistical models, spatial analytics, ML inference
Output — Visualization & Reporting
Visualization Dashboard — Evidence-based insights for educators, planners & policymakers
Easy to scale up Interactive platforms Measurement of effectiveness Cross-package comparison
THEORY · SLIDE 7

Theoretical Framework — LELP

The SEE Living Lab is grounded in a Location-based Experiential Learning Platform (LELP) — a conceptual model that situates learners within their real mobility environment and tracks how education shapes behaviour at each stage of development.

LELP
Location-based Experiential Learning Platform
A theory-driven framework connecting where children travel, how they travel, and how evidence-based education — with or without innovative learning — shapes their safety behaviour over time. LELP links spatial context, vehicle type, and developmental stage to targeted educational interventions.

Target Population

Learners under 18 years old who travel to and from school independently — as active road users across multiple vehicle types and travel modes.

Individual Drivers
  • Motorcycles
  • Bicycles
  • Car (with licence)
  • Ride-hailing riders
As Passenger / Active
  • Walking
  • Bicycle passenger
  • Car passenger
  • Ride-hailing passenger

Two Learning Pathways

LELP distinguishes learners who access innovative educational interventions from those who do not — allowing the lab to measure the causal effect of the R2S packages on real-world behaviour change.

  • With Education & Innovative Learning — learners who engage with the R2S Education, VR Cycling, and Map platforms, receiving structured, gamified, and spatially-anchored instruction.
  • Without Education / Innovative Learning — control condition learners, enabling quasi-experimental comparison and effect-size estimation.

Both pathways are tracked through the LELP platform's location-aware data layer, linking behavioural outcomes to real routes, intersections, and risk zones.

Implementation Phases

2026 — 2027
Package 1: Sense

Deploy R2S Education gamified platform. Baseline surveys of learner knowledge, attitudes and travel behaviour across partner schools in Ho Chi Minh City.

2027 — 2028
Package 2: Engage

Build and pilot the R2S VR Cycling hybrid simulator. Measure transfer from virtual hazard-perception practice to real-world scanning behaviour.

2028
Package 3: Evolve

Launch R2S Map spatial analytics dashboard. Link crash data, school catchments and LELP location data to generate route-level safety insights.

2029 — 2030
Package 4: Extended

Scale the LELP model to additional cities and partner nations (India, Nepal, ASEAN) via the Spatial Problem–Solution Mapping framework.

INTERACTIVE · TRY IT

Hazard-Spotting Challenge

A taste of the R2S Education platform. You have 20 seconds to find six hidden hazards in this top-down street scene. Click on anything that looks risky.

Time's up

You found 0/6 hazards. Keep practicing with R2S Education.

Time: 20s · Score: 0/6
PUBLICATIONS

Peer-reviewed work — complete list

All SEE Lab-affiliated publications drawn from the MOVE System research portfolio, spanning gamified e-learning, behavioural science, spatial analytics, and cross-national road-safety education.

2023
Le, H. N., Cuenen, A., Trinh, T. A., Janssens, D., Wets, G., & Brijs, K. Implementation of a gamified e-learning platform focusing on traffic knowledge and skills among Vietnamese adolescents. BUILT — International Journal of Building, Urban, Interior and Landscape Technology, 21. doi:10.56261/built.v21.248560
2023
Le, H. N., Trinh, T. A., Cuenen, A., Janssens, D., Wets, G., & Brijs, K. Identification of beliefs determining wrong lane riding intentions among Vietnamese adolescent two-wheeled riders: An Expectancy–Value approach. Journal of Safety Research, 85, 348–360. doi:10.1016/j.jsr.2023.04.002
2023
Pham, H. N., Cuenen, A., Trinh, T. A., Wets, G., & Janssens, D. A Study of Students' Perceptions toward the Use of Gamification in Traffic Safety Education in Ho Chi Minh City, Vietnam. BUILT — International Journal of Building, Urban, Interior and Landscape Technology, 21(1), 19–34. doi:10.56261/built.v21.248671
2023
Anh, T. T., Hoài, P. N., & Anh, T. T. Tư duy thiết kế trong giáo dục an toàn giao thông cho học sinh trung học phổ thông tại Thành phố Hồ Chí Minh [Design thinking in traffic safety education for high school students in Ho Chi Minh City]. Tạp Chí Khoa Học Đại Học Mở Thành Phố Hồ Chí Minh — Khoa Học Xã Hội, 18(2), 45–62. doi:10.46223/HCMCOUJS.soci.vi.18.2.3011.2023
2024
Le, H. N., Trinh, T. A., Cuenen, A., Janssens, D., Wets, G., & Brijs, K. An Expectancy–Value approach to investigate socio-cognitive determinants of speeding among adolescent powered two-wheeled riders in Vietnam. International Journal of Injury Control and Safety Promotion, 31(1), 61–71. doi:10.1080/17457300.2023.2258851
2024
Borakanavar, M. I., Babu, S., Pham, H. N., Navandar, Y. V., & Krishnamurthy, K. Analysis of Road Safety Behaviour of School Children for Active Transport Modes: A Case Study of India. Journal of the Eastern Asia Society for Transportation Studies, 15, 3055–3074. doi:10.11175/easts.15.3055
2024
Borakanavar, M. I., Babu, S., Pham, H. N., Navandar, Y. V., & Krishnamurthy, K. Empirical Analysis of Road Safety Behaviours of School-going Children Using Structural Equation Modelling: A Perspective from India. European Transport — Trasporti Europei. doi:10.48295/ET.2024.96.2
2025
Le, H. N., Cuenen, A., Trinh, T. A., Janssens, D., Wets, G., Khattak, M. W., & Brijs, K. Investigating the predictors of adolescent learners' continuance intention to engage with a gamified e-learning platform about traffic safety in Vietnam. Transportation Research Part F: Traffic Psychology and Behaviour, 109, 1229–1245. doi:10.1016/j.trf.2025.01.032
2025
Pham, N. H., Trinh, T. A., Cuenen, A., Janssens, D., & Wets, G. Achieving a first detailed understanding of risky (motor) cycling behavior among Vietnamese adolescents: Findings from video elicitation focus groups. Journal of Transport & Health, 44, 102129. doi:10.1016/j.jth.2025.102129
2025
Hoai Pham, N., Trinh, T. A., Navandar, Y. V., Cuenen, A., Wets, G., & Janssens, D. Traffic Safety Education From a Lifelong Learning Perspective: Policy Recommendations for Vietnam, India and Nepal. Children & Society. doi:10.1111/chso.13000
2025
Le, T. H. A., Trinh, T. A., Neven, A., Janssens, D., & Truong, Q. N. Child-friendly walkability for well-being in Ho Chi Minh City, Vietnam: an integrated approach from objective and subjective perspectives. Cities & Health, 1–20. doi:10.1080/23748834.2025.2520113
2025
Pham, N. H., Le, P. T., & Trinh, T. A. An Exploratory Study on Barriers to Walking among Pedestrians in Ho Chi Minh City, Vietnam: Findings from Photo-Elicitation Focus Group Discussions. Journal of the Eastern Asia Society for Transportation Studies, 16, PP4149.
STAKEHOLDERS & BENEFITS

Who benefits, and how

SEE is designed as a shared infrastructure — every actor in the street ecosystem gets something measurable back.

SEE Living Lab

Shared Road Safety Infrastructure

One platform connects learning, behavioural evidence, spatial analytics, and policy action for the school-zone ecosystem.

Learn Measure Act

Schools

SC
Implementation sites
  • Higher quality extracurricular activities
  • Flexible technology-supported safety education
  • Track students' travel behaviour over time
  • Long-term research cooperation and certificates

Students

ST
Road users
  • Stronger traffic-rule knowledge
  • Practice with VR and hazard perception tools
  • Long-term safety awareness
  • Reduced personal crash risk

Parents

PA
Home support
  • Monitor learning progress from home
  • Understand road-risk exposure around school routes
  • Support safer daily mobility habits

Authorities

AU
Policy actors
  • Evidence-based policy design
  • School-zone risk and hotspot intelligence
  • Improved public health outcomes
  • Reduced social and economic crash burden

Business / NGOs

NG
Scaling partners
  • Corporate social responsibility positioning
  • Commercialization and revenue-sharing potential
  • Support for regional replication and outreach
TIMELINE

Roadmap 2026 — 2030

Sequential rollout of the four R2S packages, with each stage informing the next.

2026 — 2027

Package 1 · R2S Education (Sense)

Deploy the gamified e-learning platform across partner schools in Ho Chi Minh City; baseline behavioural surveys.

2027 — 2028

Package 2 · R2S VR Cycling (Engage)

Build and pilot the hybrid VR cycling simulator; measure transfer from virtual practice to real-world scanning behaviour.

2028

Package 3 · R2S Map (Evolve)

Launch the spatial analytics dashboard linking crash data, school catchments and walkability audits for public use.

2029 — 2030

Package 4 · Spatial Problem–Solution Mapping (Extension)

Scale the model to additional Vietnamese cities and partner nations (India, Nepal, ASEAN) via the problem–solution mapping framework.

RESEARCHER PLATFORM · LELP

PhD Research Platform — LELP Dashboard

The LELP (Learning and Engagement for Life and Pedestrian safety) platform is the doctoral research output of Phan Le Truong An (An Le), PhD Candidate at ISCM, UEH — directly powering the data-driven backbone of the SEE Living Lab.

An

Phan Le Truong An

PhD Candidate · Senior Researcher
ISCM, University of Economics
Ho Chi Minh City (UEH)
Traffic Safety Education Behavioural Science Gamification VR & Spatial Analytics LELP Platform
anlpt@ueh.edu.vn

About the LELP Research

The LELP (Location-based Experiential Learning Platform) is An Le's doctoral research project at UEH ISCM. It bridges two critical gaps in Vietnamese road-safety education: the absence of technology-enhanced, evidence-based learning environments for young road users, and the lack of spatially-grounded behavioural outcome data linking educational interventions to real street-level safety.

LELP integrates the four SEE Lab packages — gamified e-learning (R2S Education), immersive VR practice (R2S VR Cycling), GIS-based analytics (R2S Map), and cross-city scaling (SPSM) — into a unified platform that tracks learner trajectories from classroom instruction through to measurable on-road behaviour change. The dashboard below visualises research progress, participant data, and outcomes in real time.

Learning Evidence-based, gamified, multi-modal educational content for adolescents
Engagement VR, location-based, and interactive tools driving sustained participation
Life & Pedestrian Safety Long-term behavioural outcomes measured through spatial and survey data
LELP Research Dashboard — PhD Platform · An Le · ISCM UEH