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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
Tu Anh Trinh
PILLAR TEAM
Assoc. Prof. Tu Anh Trinh · IMOB Road Safety Experts
SEE Living Lab · Traffic safety and active mobility
Tom Brijs · Kris Brijs · Ariane Cuenen · Thi Tran · Le Phan Truong An
RESEARCH TOPICS

Traffic safety and active mobility

SEE Living Lab develops evidence and interventions for safer road users, safer infrastructure and safer mobility behaviour in Vietnam's mixed-traffic, motorbike-dependent context.

TOPIC 1 · PEOPLE

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.

  • Road-user cognition, psychology, social context and risk perception
  • Adolescents, motorbike riders, older adults and specific mobility groups
  • Safety education, coaching and behaviour-change interventions
TOPIC 2 · RISK

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.

  • Crash, conflict and near-miss analysis from field data
  • Naturalistic observation, smart cameras, drones and simulation
  • Motorbike safety and self-explaining infrastructure design
TOPIC 3 · TECHNOLOGY

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.

  • AI video analytics and early warning for safety risks
  • Interaction with ADAS and safety-support systems
  • Gamification, e-learning, VR/AR and digital coaching
CROSS-CUTTING · EXPOSURE

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.

  • Mobility behaviour and risk exposure across groups, modes, places and times
  • Living Lab testing and international comparison
  • Transfer into education, infrastructure design, policy and safety management
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
SEE PROGRAMME · TOPICS & OPERATING PROJECTS

From research topics to products people can use

Từ chủ đề nghiên cứu đến sản phẩm có thể vận hành

SEE Living Lab is organised as a portfolio: broad research topics define the scientific direction, platform packages translate those topics into measurable tools, and two flagship projects are currently being developed as the first visible products of the lab.

SEE Living Lab được tổ chức như một danh mục nghiên cứu: các chủ đề tổng định hướng khoa học, các gói nền tảng chuyển chủ đề thành công cụ đo lường, và hai dự án phát sáng đang được phát triển như những sản phẩm vận hành đầu tiên của phòng lab.

subtopic 1

Road-user safety, human factors & behaviour change

An toàn người tham gia giao thông, yếu tố con người & thay đổi hành vi

Risk perception, hazard anticipation, rule compliance, adolescent mobility behaviour, education and coaching.

Nhận thức rủi ro, dự báo nguy hiểm, tuân thủ luật, hành vi di chuyển của thanh thiếu niên, giáo dục và huấn luyện.

Research topics · Hướng nghiên cứu
  • Hazard perception & behaviour-change studyActive
  • Traffic-rule compliance trainingActive
  • School-based coaching modulesProposed
subtopic 2

Risk analysis, policy evaluation & infrastructure safety

Phân tích rủi ro, đánh giá chính sách & an toàn hạ tầng

Crash clusters, near-miss evidence, school catchments, safe-route design, intervention evaluation and planning insight.

Cụm tai nạn, bằng chứng suýt va chạm, vùng trường học, thiết kế tuyến an toàn, đánh giá can thiệp và thông tin cho quy hoạch.

Research topics · Hướng nghiên cứu
  • Route-risk exposure evidence through LELPActive
  • R2S Map safe-route analyticsNext
  • Infrastructure and policy evaluationProposed
subtopic 3

AI, safety technologies & persuasive learning systems

AI, công nghệ an toàn & hệ thống học tập thuyết phục

Computer vision, sensor fusion, simulation, gamification, dashboards, digital coaching and evidence-based feedback.

Thị giác máy tính, kết hợp cảm biến, mô phỏng, game hoá, dashboard, huấn luyện số và phản hồi dựa trên bằng chứng.

Research topics · Hướng nghiên cứu
  • Projected-room simulator & telemetryActive
  • LELP dashboard and data backboneActive
  • AI video analytics and digital coachingProposed
PACKAGE ARCHITECTURE

Four platform packages feed one evidence backbone

Bốn gói nền tảng cùng đổ về một lõi dữ liệu bằng chứng

The architecture turns each learning interaction, sensor stream, survey response and spatial record into comparable data. This makes it clear which sub-topics are already operating, and which areas remain open for new proposals.

Kiến trúc này chuyển tương tác học tập, dòng dữ liệu cảm biến, phản hồi khảo sát và dữ liệu không gian thành dữ liệu có thể so sánh. Nhờ vậy người xem biết phần nào đã vận hành, phần nào còn mở để đề xuất thêm.

SEE Living Lab interactive platform architecture
PKG 1 · SENSE

R2S Education

Gamified e-learning for traffic knowledge, rules, risk perception and peer learning.

E-learning game hoá về kiến thức giao thông, luật, nhận thức rủi ro và học tập cùng bạn bè.

subtopic 1subtopic 3Operating
PKG 2 · ENGAGE

R2S Immersive Cycling

Improved VR Cycling: a real bicycle inside a projected/LED room for measurable hazard-response practice.

Bản cải tiến của VR Cycling: xe đạp thật trong phòng chiếu/LED để luyện và đo phản ứng trước nguy hiểm.

subtopic 1subtopic 3Flagship active project
PKG 3 · EVOLVE

R2S Map + LELP Platform

LELP belongs here: it turns route, survey, school and intervention data into the EVOLVE layer, then feeds R2S Map and dashboards.

LELP nằm trong gói này: nó chuyển dữ liệu tuyến đường, khảo sát, trường học và can thiệp thành lớp EVOLVE, rồi đưa vào R2S Map và dashboard.

subtopic 2subtopic 3LELP active · Map next
PKG 4 · EXTENSION

SPSM

Spatial Problem-Solution Mapping for scaling the model across cities, schools and partner countries.

Spatial Problem-Solution Mapping để mở rộng mô hình qua nhiều thành phố, trường học và quốc gia đối tác.

subtopic 2subtopic 3Open for proposals
TWO ACTIVE FLAGSHIPS

The visible products currently being built

Hai sản phẩm phát sáng đang được xây dựng

Other sub-topics can be added as future proposals. For now, the lab gives priority to one controlled-room instrument and one field-learning platform so that education, behaviour, spatial data and policy can be connected.

Các sub-topic khác có thể được bổ sung như đề xuất mới. Hiện tại lab ưu tiên một công cụ trong phòng kiểm soát và một nền tảng học tập ngoài hiện trường để kết nối giáo dục, hành vi, dữ liệu không gian và chính sách.

RESEARCH-TO-LAB FLOW

Why the SEE room is needed before the data can evolve

Vì sao cần phòng SEE trước khi dữ liệu có thể phát triển

Conventional traffic education can teach rules and awareness, but the failure point appears when a learner knows the rule yet lacks the embodied skill to handle an emerging hazard. SEE closes that gap by moving learners from classroom knowledge into instrumented practice, then into PKG 3 evidence through LELP and R2S Map.

Giáo dục giao thông truyền thống có thể dạy luật và nhận biết nguy cơ, nhưng điểm đứt gãy xuất hiện khi người học biết luật mà vẫn thiếu kỹ năng xử lý nguy hiểm đang phát sinh. SEE lấp khoảng trống đó bằng cách đưa người học từ kiến thức lớp học sang thực hành có đo lường, rồi chuyển dữ liệu vào PKG 3 qua LELP và R2S Map.

Problem Statement · Lý do hình thành dự án

Traffic education stops short when knowledge is not converted into safe action.

Giáo dục giao thông bị hụt khi kiến thức chưa chuyển hoá thành hành động an toàn.

01 Know the rule Biết luật Classroom learning can explain regulations and warning signs. Lớp học có thể truyền đạt quy tắc và biển báo.
02 Recognise the risk Nhận biết nguy cơ Videos and examples help learners notice hazards and context. Video và ví dụ giúp người học thấy nguy cơ và bối cảnh.
03 Act under pressure Hành động khi có áp lực This is the gap: signalling, slowing, yielding and steering must be practised, not only explained. Đây là khoảng trống: ra tín hiệu, giảm tốc, nhường đường và đánh lái phải được thực hành, không chỉ nghe giảng.
01 · Behaviour gap

Students may know the rule but still fail in action

Người học có thể biết luật nhưng vẫn thất bại khi xử lý thật

Classroom education can move learners from “no knowledge” to “recognition”. The missing layer is embodied practice: signalling, slowing down, choosing a lane and reacting under pressure.

Lớp học có thể đưa người học từ “chưa biết luật” sang “nhận biết nguy cơ”. Lớp còn thiếu là thực hành bằng cơ thể: ra tín hiệu, giảm tốc, chọn làn và phản ứng khi có áp lực.

02 · Simulation zone

Pathway 4 needs a safe but realistic practice instrument

Pathway 4 cần một công cụ thực hành vừa an toàn vừa thực tế

R2S Immersive Cycling turns dangerous moments into repeatable scenarios. The learner remains visible, so researchers can measure head checks, hand signals, braking, steering and hazard response.

R2S Immersive Cycling biến tình huống nguy hiểm thành kịch bản có thể lặp lại. Người học vẫn hiện diện trong phòng, nên nhóm nghiên cứu đo được quay đầu quan sát, tín hiệu tay, phanh, đánh lái và phản ứng trước nguy cơ.

Cropped E.401 floor plan for SEE Living Lab Zone A and Zone B explanation for E.401
03 · Proposed product

E.401 Simulation Sandbox — a proposed lab-space product

E.401 Simulation Sandbox — sản phẩm không gian lab đề xuất

The proposed product converts Room E.401 into a two-zone research sandbox: Zone A for 180° immersive cycling practice and Zone B for observation, debrief, data review and group discussion.

Sản phẩm đề xuất chuyển phòng E.401 thành sandbox nghiên cứu hai khu: Zone A cho thực hành đạp xe immersive 180° và Zone B cho quan sát, debrief, rà soát dữ liệu và thảo luận nhóm.

ProposedFacility product · supports PKG 2 and feeds PKG 3
Zone A · 32 m²

Virtual Reality / Simulation Zone

Khu mô phỏng / thực tế ảo

A 180° curved screen, SEE Rig Mk1, RGB-D camera system and space for a future motion-platform setup.

Màn hình cong 180°, SEE Rig Mk1, hệ thống camera RGB-D và không gian dự phòng cho motion platform tương lai.

Zone B · 20 m²

Analysis & Observation Area

Khu phân tích & quan sát

A console and group-observation area for live debrief, reflective discussion and rapid data review.

Khu console và quan sát nhóm để debrief trực tiếp, thảo luận phản tư và rà soát dữ liệu nhanh.

LAB SPACE · CONNECTED WORKFLOW

How the room, simulator and LELP connect

Phòng lab, mô phỏng và LELP kết nối như thế nào

E.401 is designed as the controlled room where students experience the immersive cycling task. The session then flows into LELP, where survey data, sensor data, route exposure and school context can be cleaned, compared and visualised through the EVOLVE/R2S Map layer.

E.401 được thiết kế như phòng kiểm soát để học sinh trải nghiệm bài mô phỏng đạp xe. Sau phiên học, dữ liệu đi vào LELP, nơi dữ liệu khảo sát, cảm biến, phơi nhiễm tuyến đường và bối cảnh trường học được làm sạch, so sánh và trực quan hoá qua lớp EVOLVE/R2S Map.

Cropped floor layout of E.401 facilities
Facilities layout
Zone A and Zone B lab-space explanation
Zone A / Zone B
E.401 isometric lab space
Immersive room zoning
SEE Living Lab concept overview
Spatial concept
Comparison of projected room and headset VR
Room-based VR upgrade
Research gap Room / E.401 R2S Immersive Cycling LELP in PKG 3 R2S Map / Dashboard
R2S Immersive Cycling rig concept
Flagship 01 · subtopic 1 + subtopic 3

R2S Immersive Cycling — the improved VR Cycling product

R2S Immersive Cycling — sản phẩm VR Cycling cải tiến

Instead of putting adolescents inside a headset, the improved system places them on a real bicycle inside a 180-degree projected or LED room. Their visible actions — pedalling, steering, braking, head checks, shoulder checks and hand signals — can be observed, measured and mapped to Vietnamese traffic-safety rules.

Thay vì cho học sinh đeo kính VR, hệ thống cải tiến đặt người học trên một chiếc xe đạp thật trong phòng chiếu hoặc LED 180 độ. Các hành vi nhìn thấy được — đạp, đánh lái, phanh, quay đầu quan sát, kiểm tra vai và ra tín hiệu tay — có thể được quan sát, đo lường và đối chiếu với quy tắc an toàn giao thông Việt Nam.

Why it is needed Vì sao cần thiết

Students can practise risky traffic moments safely, with less simulator sickness, shorter familiarisation time and immediate group debrief.

Học sinh được luyện các tình huống nguy hiểm một cách an toàn, giảm say mô phỏng, rút ngắn thời gian làm quen và có thể thảo luận nhóm ngay.

What it measures Đo lường gì

Signal use, speed, lane position, yielding, red-light compliance, near-miss response and scenario-level “diamond” scoring.

Tín hiệu tay, tốc độ, vị trí làn, nhường đường, tuân thủ đèn đỏ, phản ứng trước suýt va chạm và điểm “diamond” theo kịch bản.

Expected impact Tác động kỳ vọng

A safer training environment, richer behavioural evidence and a reusable school-facing demonstration for education and policy partners.

Một môi trường luyện tập an toàn hơn, bằng chứng hành vi phong phú hơn và mô hình trình diễn có thể dùng với trường học và đối tác chính sách.

Flagship 02 · PKG 3 EVOLVE · subtopic 2 + subtopic 3

LELP Platform — the PKG 3 field-learning backbone

LELP Platform — lõi học tập ngoài hiện trường thuộc PKG 3

LELP sits inside PKG 3 — EVOLVE. It connects a learner’s profile, travel mode, school context, survey responses, simulator sessions and route-level risk exposure, then turns them into dashboard-ready evidence for R2S Map.

LELP nằm trong PKG 3 — EVOLVE. Nền tảng này liên kết hồ sơ người học, phương tiện di chuyển, bối cảnh trường học, phản hồi khảo sát, phiên mô phỏng và mức phơi nhiễm rủi ro theo tuyến, rồi chuyển thành bằng chứng sẵn sàng cho dashboard R2S Map.

Core modules Module chính

Participant registry, survey engine, session ingest, researcher dashboard, R2S Map, teacher view and parent view.

Hồ sơ người tham gia, bộ khảo sát, nhận dữ liệu phiên học, dashboard nghiên cứu, R2S Map, giao diện giáo viên và phụ huynh.

Data responsibility Trách nhiệm dữ liệu

Pseudonymised learner records, consent-gated video, separated identity mapping and route coarsening for sensitive home/school areas.

Hồ sơ ẩn danh hoá, video theo đồng ý, tách bảng định danh và làm mờ tuyến gần nhà/trường để bảo vệ dữ liệu nhạy cảm.

Expected impact Tác động kỳ vọng

Comparable evidence across packages, better targeting of interventions and clearer communication with educators, planners and policymakers.

Bằng chứng có thể so sánh giữa các gói, nhắm can thiệp chính xác hơn và truyền đạt rõ hơn với nhà giáo dục, nhà quy hoạch và nhà hoạch định chính sách.

LELP in PKG 3 connected to the SEE Living Lab space
RESEARCH INTERN PROPOSAL

Open proposal streams for research interns

Các hướng đề xuất tuyển Research Intern

Intern topics are designed as proposal streams. Students can join an operating flagship, or propose a focused sub-topic under the SEE research topics where new evidence, prototypes or datasets are still needed.

Các vị trí intern được thiết kế như những hướng đề xuất. Sinh viên có thể tham gia dự án phát sáng đang vận hành, hoặc đề xuất một sub-topic cụ thể trong các chủ đề nghiên cứu SEE còn cần thêm bằng chứng, prototype hoặc dữ liệu.

01

Immersive Systems

Build traffic scenarios, simulator logic, projected-room interaction, smart-trainer control and the rule-based scoring layer for R2S Immersive Cycling.

Phát triển kịch bản giao thông, logic mô phỏng, tương tác phòng chiếu, điều khiển smart trainer và lớp chấm điểm theo luật cho R2S Immersive Cycling.

subtopic 1 + subtopic 3
02

Sensing & Data Engineering

Work on sensor streams, pose/gesture detection, braking and steering telemetry, data cleaning, synchronisation and research-ready datasets.

Xử lý dòng dữ liệu cảm biến, nhận diện tư thế/cử chỉ, dữ liệu phanh và đánh lái, làm sạch, đồng bộ và tạo bộ dữ liệu phục vụ nghiên cứu.

subtopic 2 + subtopic 3
03

Behavioural Research

Design surveys and experiments, support school pilots, analyse hazard perception, behavioural change, situational awareness and transfer-to-road outcomes.

Thiết kế khảo sát và thí nghiệm, hỗ trợ pilot tại trường, phân tích nhận thức nguy hiểm, thay đổi hành vi, nhận thức tình huống và chuyển hoá ra đường thật.

subtopic 1 + subtopic 2
04

LELP Platform

Develop the participant registry, bilingual survey engine, dashboard views, R2S Map layers, school/parent interfaces and privacy-aware data export.

Phát triển hồ sơ người tham gia, bộ khảo sát song ngữ, dashboard, lớp bản đồ R2S Map, giao diện trường/phụ huynh và xuất dữ liệu có kiểm soát riêng tư.

subtopic 2 + subtopic 3
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.

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