INSTITUTE OF SMART CITY & MANAGEMENT · UEH

MOVE System

International Research Group/Lab "MOVE" — a human-centred research group for safe, smart, connected and low-emission mobility systems in Vietnam and developing urban contexts.

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ABOUT

MOVE System

International Research Group/Lab
"MOVE"

MOVE connects people, infrastructure, transport services, network operations, technology and the environment through Living Lab, Sandbox and Field Lab research settings.

MOVE System studies human-centred mobility systems that are safe, intelligent, connected and low-emission, with emphasis on Vietnam and other fast-developing urban contexts.

The research agenda is organised around traffic safety and active mobility; smart, integrated and low-emission mobility; and urban rail systems. It links co-design, simulation, controlled testing and field validation to support policy, education and solution transfer.

MOVE System architecture — three integrated research pillars within the Urban System

Three research pillars  ·  Living Lab, Sandbox and Field Lab  ·  ISCM · UEH

01

Living Lab

Co-identify problems and co-design solutions with researchers, users, public agencies, enterprises and communities.

02

Sandbox

Simulate, test and de-risk new mobility models, technologies and policy options in controlled environments.

03

Field Lab

Validate selected interventions in real-world conditions and feed field evidence back into models, tools and policy.

STRUCTURE

Three research pillars

PEOPLE

International research team

17

research group members

02

group leads across UEH and Hasselt

03

research pillars connected by MOVE

IMOB

international expertise by pillar

Tu Anh Trinh
Group Lead · ISCM

Assoc. Prof. Tu Anh Trinh

Leads MOVE System's academic direction and UEH-based international research group development.

trinhtuanh@ueh.edu.vn
GW
International Co-Lead · Hasselt University

Prof. Geert Wets

Provides strategic guidance, road safety and transport-data expertise through IMOB collaboration.

geert.wets@uhasselt.be
MEMBERSHIP

Research group members

Detailed membership list organised by position, affiliation and role in the research group.

No. Full name Title / degree Affiliation Role in the research group
1Tu Anh TrinhAssoc. Prof. Dr.Institute of Smart City and ManagementGroup Lead
2Geert WetsProf. Dr.Hasselt UniversityInternational Co-Lead
3Pham Nguyen HoaiDr.CNTK · Institute of Smart City and ManagementCore member
4Le Phan Truong AnPhD candidateCNTK · Institute of Smart City and ManagementCore member
5Vuong Tran QuangDr.Institute of Smart City and ManagementCore member
6Le Thi Hanh AnDr.Communication and Partnership Development DepartmentCore member
7Do Tri CuongDr.CNTK · Institute of Intelligent and Interactive TechnologiesCore member
8Nhieu Nhat LuongDr.CNTK · Institute of Intelligent and Interactive TechnologiesCore member
9Pham Tuan AnhDr.CNTK · Institute of Intelligent and Interactive TechnologiesMember
10Tom BrijsProf. Dr.Hasselt UniversityMember
11Kris BrijsProf. Dr.Hasselt UniversityMember
12Wim EctorsProf. Dr.Hasselt UniversityMember
13Davy JanssensProf. Dr.Hasselt UniversityMember
14Ariane CuenenDr.Hasselt UniversityMember
15Thi TranMScHasselt UniversityMember
16Phan Hai DuongPhD candidateFaculty of Business and Commerce, UEH College of BusinessPhD researcher
17Phan Anh TuanPhD candidateSchool of Government, UEH College of Economics, Law and GovernmentPhD researcher
TT Họ và tên Chức danh, học vị Đơn vị công tác Vai trò trong nhóm nghiên cứu
1Trịnh Tú AnhPGS.TS.Viện Đô thị Thông minh và Quản lýTrưởng nhóm
2Geert WetsGS.TS.Hasselt UniversityĐồng trưởng nhóm
3Phạm Nguyễn HoàiTS.CNTK · Viện Đô thị thông minh và quản lýThành viên nòng cốt
4Lê Phan Trường AnNCS.CNTK · Viện Đô thị thông minh và quản lýThành viên nòng cốt
5Vương Trần QuangTS.Viện Đô thị Thông minh và Quản lýThành viên nòng cốt
6Lê Thị Hạnh AnTS.Ban Truyền thông và Phát triển đối tácThành viên nòng cốt
7Đỗ Trí CườngTS.CNTK · Viện Công nghệ Thông minh và Tương tácThành viên nòng cốt
8Nhiêu Nhật LươngTS.CNTK · Viện Công nghệ Thông minh và Tương tácThành viên nòng cốt
9Phạm Tuấn AnhTS.CNTK · Viện Công nghệ Thông minh và Tương tácThành viên
10Tom BrijsGS.TS.Hasselt UniversityThành viên
11Kris BrijsGS.TS.Hasselt UniversityThành viên
12Wim EctorsGS.TS.Hasselt UniversityThành viên
13Davy JanssensGS.TS.Hasselt UniversityThành viên
14Ariane CuenenTS.Hasselt UniversityThành viên
15Thi TranThS.Hasselt UniversityThành viên
16Phan Hải ĐườngNCS.Khoa Kinh doanh - Thương mại, Trường Kinh doanh UEHNghiên cứu sinh
17Phan Anh TuấnNCS.Khoa Quản lý nhà nước, Trường Kinh tế, Luật và Quản lý nhà nước UEHNghiên cứu sinh
IMOB

IMOB roles by research pillar

International expertise is mapped to the safety and smart-mobility pillars.

Pillar 1 · SEE Living Lab

IMOB researcherExpertiseProposed role
Geert WetsRoad safety, data, leadershipStrategic direction and data leadership
Tom BrijsRoad safety, simulator, policy, infrastructureOverall direction; risk and infrastructure
Davy JanssensTravel behaviour, activity-based modelsMobility behaviour and travel models
Kris BrijsBehaviour change, human factorsEducation and behaviour-change intervention
Ariane CuenenBehavioural change, education, fitness-to-driveEducation and behaviour-change intervention
Thi TranRoad safety, AI, ADASAI and safety-support technology

Pillar 2 · Smart Mobility Lab

NameMain expertiseProposed role
Wim EctorsITS, data, AI, Digital TwinTechnology and smart systems
Davy JanssensTravel behaviour, activity-based modelsMobility behaviour and modelling
Thi TranRoad safety, AI, ADASAI applications in smart mobility
Kris BrijsBehaviour changeBehaviour change and service acceptance

Trụ cột 1 · SEE Living Lab

Nhà nghiên cứu IMOBChuyên mônVai trò đề xuất trong Trụ cột 1
Geert WetsRoad safety, data, leadershipĐịnh hướng chiến lược và dữ liệu
Tom BrijsRoad safety, simulator, policy, infrastructureĐịnh hướng tổng thể; Risk & Infrastructure
Davy JanssensTravel behaviour, activity-based modelsPhân tích hành vi di chuyển và mô hình chuyến đi
Kris BrijsBehaviour change, human factorsGiáo dục và can thiệp thay đổi hành vi
Ariane CuenenBehavioural change, education, fitness-to-driveGiáo dục và can thiệp thay đổi hành vi
Thi TranRoad safety & AI, ADASAI và công nghệ hỗ trợ an toàn

Trụ cột 2 · Smart Mobility Lab

Họ và tênChuyên môn chínhVai trò đề xuất trong Trụ cột 2
Wim EctorsITS, data, AI, Digital TwinCông nghệ và hệ thống thông minh
Davy JanssensTravel behaviour, activity-based modelsHành vi di chuyển và mô hình hóa
Thi TranRoad safety & AI, ADASỨng dụng AI trong di chuyển thông minh
Kris BrijsBehaviour changeThay đổi hành vi và chấp nhận dịch vụ
ROADMAP

Four-year research plan and outputs

MOVE's pilot period builds from academic foundation to field testing, knowledge transfer and long-term research infrastructure.

01 Science

Academic outputs

At least five international journal articles, one scholarly book chapter and intermediate academic outputs across the pilot period.

WoSQ1 / ABDC A*Book chapterWorking papers
02 Training

Doctoral and postdoc development

Research-linked dissertations, PhD publications and a pathway for young scholars and postdoctoral researchers to work through the Living Lab-Sandbox-Field Lab cycle.

PhD researchPostdocSeminarsWorkshops
03 Transfer

Policy, data and applied models

Annual policy reports, shared research datasets for the UEH Data Center and at least one applied model or useful solution generated from the research programme.

Policy reportsResearch datasetsApplied model
1 Year 1 · Academic foundation, governance and data plan
2 Year 2 · Initial studies, pilots and publication pipeline
3 Year 3 · Field expansion and mid-term evaluation
4 Year 4 · Transfer, data handover and long-term strategy
TECHNOLOGY & TOOLS

Technology & Tools

The platform combines simulation, AI, immersive interfaces, sensing hardware and shared data infrastructure for MOVE's Living Lab, Sandbox and Field Lab research cycle.

Agent-based Model simulation
01

Agent-based Model

Urban and mobility behaviour simulation for testing service adoption, interaction effects, and policy scenarios before field deployment.

NetLogo / ABM Scenario logic Behaviour rules
Machine Learning AI and Big Data
02

Machine Learning, AI – Big Data

Data-driven prediction, classification, and insight generation across safety, mobility demand, and rail operations.

Machine learning AI analytics Big data
AR VR and Hologram training environment
04

AR, VR and Hologram

Immersive training and interactive simulation for hazard perception, driver response, smart corridor testing, and professional capacity building.

Unity / Unreal Eye-tracking VISSIM / AIMSUN 360 camera
Digital Twin hologram table model Digital Twin interactive platform Hologram demonstration
03

Digital Twin, Hologram

Shared spatial models for explaining network operations, street experiments, environmental risk, and infrastructure decisions in a more tangible format.

Digital twin Hologram Spatial visualisation
VR/AR Systems & Interactive Simulation Unity/Unreal · Eyetracking · VISSIM/AIMSUN · Camera 360
Traffic Data Sensors & Simulation AI traffic camera · GoPro · GPS trackers · Analysis sensors · Traffic simulation model