Evi Koliou

Evi Koliou is a Civil Engineer, currently working as a Research Associate at the Department of Transportation Planning and Engineering at the School of Civil Engineering of the National Technical University of Athens (NTUA). Since 2019, she holds a Civil Engineering Diploma from NTUA majoring in Transportation Engineering. Since 2024, she submitted her PhD, Doctor of Philosophy, from the Department of Civil and Environmental Engineering, at Imperial College London, United Kingdom with research topic on Intelligent Mobility and Transport Planning, and she is waiting its award. The Ph.D. title is: “Vehicle-to-Vehicle Connectivity for Real-time Traffic Incident Detection on Motorways: A Traffic Microsimulation Study”. She has more than five (6) years of experience in several aspects of traffic engineering and road safety and mobility. She has co-supervised, 6 MEng students and 6 MSc students while she worked as a university teacher assistant for four (4) years in courses as Traffic Engineering, and Analytical and Statistical Methods. She has participated in nine (9) research projects (academic and industrial) while she has attended many scientific conferences. She also been part of National Highways since 2019, a government-owned company charged with operating, maintaining and improving motorways and major A, as National Highways funded her Ph.D. and she worked in project of them for four (4) years.

Specialisation areas

Traffic Engineering
Road Safety and Mobility
Driver Behaviour
Crash Analysis
Statistical Analysis and Modelling
Intelligent Mobility / CAVs / CVs
Emissions / NetZero
Traffic Microsimulation
Traffic Incident detection
Vehicle-to-vehicle (V2V) connectivity
Real-time traffic operations

Education

Doctor of Philosophy (PhD), July 2019 – Jan 2024, in the Department of Civil and Environmental Engineering at the Imperial College London of United Kingdom. Topic: “Vehicle-to-Vehicle Connectivity for Real-time Traffic Incident Detection on Motorways: A Traffic Microsimulation Study”.
Master Thesis, M.Eng. July 2019, in the Department of Transportation Planning and Engineering at the School of Civil Engineering of the National Technical University of Athens (NTUA). Topic: “Comparative assessment of factors influencing travel mode choice in three European countries”
Diploma of Civil Engineering, Sep 2013 – March 2019, “Comparative assessment of factors influencing travel mode choice in three European countries”, Option of Transportation Engineer at the School of Civil Engineering of the National Technical University of Athens.

Teaching/Working Experience

Teaching Assistant at Loughborough University in three courses for undergraduate students (Helping and assisting them with their exercises and delivering lab sessions)
Teaching Assistant at Imperial College London in two courses for M.Sc./M.Eng. students
Supervising Assistant in 10 Diploma Theses in the Department of Civil and Environmental Engineering at the Imperial College London of United Kingdom
Research Assistant at National Highways associated with Imperial College London in a project called “REFORMS: RE-Imagining Futuristic Optimal Road Space Allocation for Improved Mobility and Safety”, role traffic and incident data analysis and examine/evaluate potential approaches to capacity enhancements on the Strategic Road Network (SRN) of UK

Research projects

Participation in seven (7) research projects in the field of Transportation Planning and Engineering:

“MobiTool4U” – Development of an Integrated Artificial Intelligence System for Monitoring and Evaluating Sustainable Urban Mobility Interventions in Athens. (2024-ongoing)
“Care4Impair” – Development of Advance/Integrated Support Tools for Drivers with Cognitive Impairment. (2024-ongoing)
“CogniDrive” – Assessment of driving ability in people with cognitive impairment through smartphone and wearable device applications. (2024-ongoing)
“MetaCCAZE” – Flexibly adapted MetaInnovations, use cases, collaborative business and governance models to accelerate shared Zero Emission mobility for passengers and freight”, a HORIZON-MISS-2023-CIT-01-01 – Co-designed smart systems and services for user-centred shared zero-emission mobility of people and freight in urban areas. (2Zero, CCAM and Cities’ Mission) (2024-ongoing)
“CulturalRoad” – Cultural, regional and societal factors to overcome barriers to connected, cooperative and automated mobility deployment, a HORIZON-CL5-2023-D6-01-04: Integrating European diversity in the design, development and implementation of CCAM solutions to support mobility equity (CCAM Partnership). (2024-ongoing)
“PEVE 2021” – Unsafe Traffic Events: Exploring the relationship between unsafe traffic events and crash occurrence for the National Technical University of Athens (2021-2024).
“REFORMS – RE-imagining Futuristic Optimal Road Space Allocation for Improved Mobility and Safety”, industrial project for the National Highways in collaboration with Imperial College London. (2023-2024)

Thesis

Submitted thesis for Doctor of Philosophy (PhD), “Vehicle-to-Vehicle Connectivity for Real-time Traffic Incident Detection on Motorways: A Traffic Microsimulation Study”, Ph.D. thesis, Department of Civil and Environmental Engineering, Imperial College London, United Kingdom, January 2024.
Master Thesis (M.Eng.), “Comparative assessment of factors influencing travel mode choice in three European countries”, Diploma Thesis, Department of Transportation Planning and Engineering, NTUA, School of Civil Engineering, March 2019.

Computer Skills and Software Knowledge

Advanced knowledge of Microsoft Office (Excel, Word, PowerPoint)
Advanced knowledge of computer
Technical Design: AutoCAD, Google SketchUp
Programming: R, R-studio, MATLAB, Python
Statistical Software: IBM SPSS, STATA
Transport modelling: Sumo, Aimsun, VISSIM
Project Management Skills
Excellent knowledge of MapInfo, ArcGIS, QGIS
Experience in vehicle trajectory optimisation, traffic flow modelling and agent-based simulation
Practical experience in a range of techniques including reinforcement learning, model-predictive control and mathematical optimisation
Knowledge of CAVs modelling tools