Dr.ir. H. (Haneen) Farah

Profile

Dr. ir. Haneen Farah is an associate professor in the Department of Transport and Planning and co-director of the Traffic and Transportation Safety Lab . Her research interests include studying the implications of road infrastructure design on road user behaviour and traffic safety. In her research she combines her expertise in transportation engineering, with her curiosity in the fields of human factors and econometrics to study these connections. Before joining TU Delft she was a postdoctoral researcher at KTH - Royal Institute of Technology, Stockholm, Sweden. She received her M.Sc. and Ph.D. in Transportation Engineering from the Technion- Israel Institute of Technology.

Research

The main aim of her research is to develop theories and models for road user behaviour and traffic safety taking into consideration the impacts of the road infrastructure and the technological developments and advancements in transportation. In her current research she investigates the implications of the advances in vehicle technology and automation on the road infrastructure design, road user behaviour and traffic safety in the framework of several national and international projects, such as: STAD (Spatial and Transport Impacts of Automated Driving), MEDIATOR (MEdiating between Driver and Intelligent Automated Transport systems on Our Roads), and SAMEN (Safe and Efficient OperAtion of AutoMated and Human DrivEN Vehicles in Mixed Traffic). 

Her research has been published in well-reputed peer-reviewed international journals in the field, such as Accident Analysis & Prevention, Transportation Research Part B, Part C, and Part F, and presented in leading conferences. See her publications on Google Scholar: Haneen Farah Publications.

Education

In education she is responsible for the Geometric Design of Roads and Railways (CTB3370-18) undergraduate course and the Traffic Safety (CIE-5810-19) graduate course. She is also involved in the Delft Road Safety Course for low and middle income countries and gives lectures in the collaborative teaching program with the School of Traffic and Transportation, Beijing Jiaotong University. She supervises several PhD and Master students working on in her areas of research interests.

Recent Publications

Farah, H., Bhusari, S., van Gent, P., Babu, F. A. M., Morsink, P., Happee, R., & van Arem, B. (2020). An Empirical Analysis to Assess the Operational Design Domain of Lane Keeping System Equipped Vehicles Combining Objective and Subjective Risk Measures. IEEE Transactions on Intelligent Transportation Systems.

Rad, S. R., Farah, H., Taale, H., van Arem, B., & Hoogendoorn, S. P. (2020). Design and operation of dedicated lanes for connected and automated vehicles on motorways: A conceptual framework and research agenda. Transportation Research Part C: Emerging Technologies, 117, 102664.   

Varotto, S. F., Farah, H., Bogenberger, K., van Arem, B., & Hoogendoorn, S. P. (2020). Adaptations in driver behaviour characteristics during control transitions from full-range Adaptive Cruise Control to manual driving: an on-road study. Transportmetrica A: transport science, 16(3), 776-806.

Borsos, A., Farah, H., Laureshyn, A., & Hagenzieker, M. (2020). Are collision and crossing course surrogate safety indicators transferable? A probability based approach using extreme value theory. Accident Analysis & Prevention, 143, 105517.

Silvano, A. P., Koutsopoulos, H. N., & Farah, H. (2020). Free flow speed estimation: A probabilistic, latent approach. Impact of speed limit changes and road characteristics. Transportation Research Part A: Policy and Practice, 138, 283-298.

Farah, H., Bianchi Piccinini, G., Itoh, M., Dozza, M. (2019). Modelling overtaking strategy and lateral distance in car-to-cyclist overtaking on rural roads: A driving simulator experiment. Transportation Research Part F: Traffic Psychology and Behaviour, 63, pp. 226-239.

Lu, X., Madadi, B., Farah, H., Snelder, M., Annema, J. A., & Arem, B. V. Scenario-Based Infrastructure Requirements for Automated Driving. In CICTP 2019 (pp. 5684-5695), 2019.

Xiong, X., Wang, M., Cai, Y., Chen, L., Farah, H., & Hagenzieker, M. (2019). A forward collision avoidance algorithm based on driver braking behaviour. Accident Analysis & Prevention, 129, pp. 30-43.

Cavadas, J., Azevedo, C. L., Farah, H., & Ferreira, A. (2020). Road safety of passing maneuvers: a bivariate extreme value theory approach under non-stationary conditions. Accident Analysis & Prevention, 134, 105315.

Núñez Velasco, P., Farah, H., Van Arem, B., Hagenzieker, M. Studying pedestrians’ crossing behaviour when interacting with automated vehicles using virtual reality. Transportation Research Part F: Traffic Psychology and Behaviour, 66, pp. 1-14, 2019.

Farah, H., Daamen, W., Hoogendoorn, S. How do drivers negotiate horizontal ramp curves in system interchanges in the Netherlands? Safety Science, 119, pp. 58-69, 2019.  

van Gent, P., Farah, H., van Nes, N., van & Arem, B. A conceptual model for persuasive in-vehicle technology to influence tactical level driver behaviour. Transportation Research Part F: Traffic Psychology and Behaviour, 60, pp. 202-216, 2019.

van Gent, P., Farah, H., van Nes, N., & van Arem, B. HeartPy: A novel heart rate algorithm for the analysis of noisy signals. Transportation Research Part F: Traffic Psychology and Behaviour, 66, 368-378, 2019.

Varotto, S. F., Farah, H., Toledo, T., Van Arem, B., & Hoogendoorn, S .P. Modelling decisions of control transitions and speed regulations in full-range adaptive cruise control based on Risk Allostasis Theory. Transportation Research Part B: Methodological, Volume 117, Part A, Pages 318-341, 2018.

Van Beinum, A.S., Farah, H., Wegman, F., Hoogendoorn, S.P. Driving Behaviour at Motorway Ramps and Weaving Segments Based on Empirical Trajectory Data. Transportation Research Part C: Emerging Technologies, 92, 426-441, 2018.

Projects

SAMEN: Safe and Efficient OperAtion of AutoMated and Human DrivEN Vehicles in Mixed Traffic

SAMEN focuses on understanding and modelling the interactions between human-driven and automated vehicles in mixed traffic. Within this project behavioural theories and models will be developed for these interactions. The resulting interaction models will be scaled up in an enhanced traffic flow simulation platform to evaluate the implications of mixed traffic on traffic flow and safety.

MEDIATOR - MEdiating between Driver and Intelligent Automated  Transport systems on Our Roads

MEDIATOR will develop a self-learning mediating system for car drivers, guaranteeing safe, real-time switching between the human driver and automated system based on which is fittest to drive. The objective of the mediator system is to intelligently assess the strengths and weaknesses of both the driver and the automation and mediate between them, while also taking into account the driving context.

MANTRA - Making Full Use of Automation for National Transport and Road Authorities

MANTRA responds to the questions of CEDR Automation Call 2017: How will automation change the core business of NRA’s? In detail this means finding out what are the influences of automation on the core business in relation to road safety, traffic efficiency, the environment, customer service, maintenance and construction processes. Furthermore, how will the current core business on operations & services, planning & building and ICT change in the future?

Dedicated Lanes - Performance and Safety Evaluation of Dedicated Lanes Design for Automated Vehicles

The main objective of this research project is to evaluate the traffic safety and performance of different design configurations of dedicated lanes, taking into account human driver behavioural adaptation when interacting with connected and automated vehicles. This project involves driving simulator experiments as well as microscopic simulations. 

STAD - Spatial and Transport Impacts of Automated Driving

STAD aims to assess the wider, long term transport and spatial implications of advanced levels of automated driving. Particular topics that were taken into account in the research articulation pertain to regional development and accessibility, urban design, pedestrians and cyclists, impacts on public transport and parking.

Taking the Fast Lane: Lane specific Motorway Traffic Control using GNSS Single Frequency Precise Point Positioning

This project aim to optimise lane use with a lane-specific control application. By evening out traffic over the available lanes, we can drastically reduce traffic jams. In addition to this, a more balanced traffic systems leads to increased safety and reduced emissions.

HFAuto Project: Human Factors of Automated Driving

HFAuto bridged the gap between engineers and psychologists through a multidisciplinary research and training programme. It generated knowledge on Human Factors of automated driving towards safer road transportation. Within this project we investigated the authority transitions between manual and automated driving. For this purpose, we collected empirical data from field operational tests and driving simulation experiments.

COST Action TU0903, MULTITUDE

MULTITUDE - Methods and Tools for Supporting the Use Calibration and Validation of Traffic Simulation Models. The project examined issues such as data availability and quality, as well as the relationship between data accuracy and calibration, as well as developing and testing methodologies suitable for calibration and validation of deterministic as well as stochastic models.

COOPERS -  Cooperative Systems for Intelligent Road Safety

COOPERS Vision provides vehicles and drivers with real time individual/local situation based, safety related traffic status and infrastructure status information distributed via dedicated Infrastructure to Vehicle Communication (I2V). This approach extends the concepts of vehicle autonomous systems and vehicle to vehicle communication (V2V) with tactical and strategic traffic information only be provided by the infrastructure operator in real time.

PhD Thesis Co-supervision

Yongqi Dong, On-going
Automated vehicles operational design domain
Delft University of Technology

Nagarjun Reddy, On-going
Human drivers behaviour and modelling in mixed traffic
Delft University of Technology

Paul van Gent, On-going
Your car knows best - Safely maximising driver compliance to a lane-change assistant
Delft University of Technology

Pablo Nunez Velasco, On-going
Interactions between vulnerable road users and automated vehicles
Delft University of Technology 

Solmaz Razmi Rad, On-going
Performance and safety evaluation of dedicated lanes for automated and connected vehicles
Delft University of Technology 

Johan Vos, On-going
Driver expectations in freeway curve driving
Delft University of Technology 

Silvia Varotto, Graduated 2018
Driver behaviour during control transitions between adaptive cruise control and manual driving: empirics and models
Delft University of Technology 

Aries van Beinum, Graduated 2018
Turbulence in traffic at motorway ramps and its Impact on traffic operations and safety
Delft University of Technology 

Ary Pezo Silvano, Graduated 2016
Impacts of speed limits and information systems on speed choice from a safety perspective
KTH Royal Institute of Technology 

Godfrey Mweisge, Graduated 2015
A methodology for operations-based safety appraisal of two-lane rural highways: application in Uganda
KTH Royal Institute of Technology

Haneen Farah

Associate professor


Additional information

Dr.ir. H. (Haneen) Farah

profiel

publicaties
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2016 - Verkeersveiligheid
2017 - Verkeersveiligheid
2017 - Geometrisch ontwerp van wegen en spoorwegen
2016 - Geometrisch ontwerp van wegen en spoorwegen
2018 - Geometrisch ontwerp van wegen en spoorwegen
2018 - Verkeersveiligheid
2015 - Verkeersveiligheid
2015 - Geometrisch ontwerp van wegen en spoorwegen
2019 - Geometrisch ontwerp van wegen en spoorwegen
2019 - Toets
2019 - Practicum
2019 - Tentamen
2019 - Practicum
2020 - Practicum
2019 - Traffic Safety
2019 - Assignment and Presentation
2020 - Traffic Safety
2020 - Assignment and Presentation
2020 - Tentamen
2020 - Toets
2020 - Geometrisch ontwerp van wegen en spoorwegen
2020 - Practicum
2020 - Practicum
2020 - Geometrisch ontwerp van wegen en spoorwegen
2020 - Toets
2020 - Practicum
2018 - Traffic Safety
2018 - Geometrisch ontwerp van wegen en spoorwegen
2018 - Toets
2018 - Practicum
2018 - Practicum
2018 - Geometrisch ontwerp van wegen en spoorwegen
2018 - Toets
2018 - Practicum
2018 - Practicum
2019 - Geometrisch ontwerp van wegen en spoorwegen
2019 - Toets
2019 - Practicum
2019 - Practicum
2019 - Geometrisch ontwerp van wegen en spoorwegen
nevenwerkzaamheden
(Bestuurs) lid commissie, stichting, vereniging, stuur- of klankbordgroep -

2020-01-01 - 2022-01-01

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