Dr.ir. H. (Haneen) Farah
Profile
Dr. ir. Haneen Farah is an Associate Professor in the Department of Transport and Planning and a co-director of the Traffic and Transportation Safety Lab. Her research interests lie in the fields of road infrastructure design, 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. 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. She is involved in several national and international projects, such as SAMEN (Safe and Efficient OperAtion of AutoMated and Human DrivEN Vehicles in Mixed Traffic) where she focuses on investigating the implications of the advances in vehicle technology and automation on the road infrastructure design, road user behaviour and traffic safety, AfroSAFE (Safe System for radical improvement of road safety in African countries) where she focuses on investigating how to advance the spread of the Safe System mode of operation in the context of road safety initiatives in African nations, and XCARCITY (A sustainable accessible city, without private cars?) where she focuses on safe and improved cycling.
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 teaches as well in the online course Road Safety, and 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
Lingam, S. N., De Winter, J., Dong, Y., Tsapi, A., Van Arem, B., & Farah, H. (2024). eHMI on the Vehicle or on the Infrastructure?: A Driving Simulator Study. European Journal of Transport and Infrastructure Research, 24(2), 1-24.
Mohammad, S. H., Farah, H., & Zgonnikov, A. (2024). In the driver's mind: modeling the dynamics of human overtaking decisions in interactions with oncoming automated vehicles. Transportation research part F: traffic psychology and behaviour, 107, 562-577.
Rad, S. R., Farah, H., Taale, H., van Arem, B., & Hoogendoorn, S. P. (2024). The impact of the presence and utilization policy of a dedicated lane on drivers’ preference to use automation and driving behaviour on motorways. Transportation research part F: traffic psychology and behaviour, 103, 260-272.
de Campos, G. R., Knauss, A., Tanov, N., Mano, D., Bakker, B., Farah, H., ... & Andersson, S. (2024, June). Towards self-aware vehicle automation for improved usability and safer automation mediation. In 2024 IEEE Intelligent Vehicles Symposium (IV) (pp. 3289-3296). IEEE.
Vos, J., Farah, H., & Hagenzieker, M. (2024). Modelling driver expectations for safe speeds on freeway curves using Bayesian belief networks. Transportation Research Interdisciplinary Perspectives, 27, 101178.
Zhang, L., Dong, Y., Farah, H., & van Arem, B. (2023, October). Social-Aware Planning and Control for Automated Vehicles Based on Driving Risk Field and Model Predictive Contouring Control: Driving Through Roundabouts as a Case Study. In 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 3297-3304). IEEE.
Wang, Y., Farah, H., Yu, R., Qiu, S., & van Arem, B. (2023). Characterizing behavioral differences of autonomous vehicles and human-driven vehicles at signalized intersections based on Waymo Open Dataset. Transportation research record, 2677(11), 324-337.
Sevenster, A., Farah, H., Abbink, D., & Zgonnikov, A. (2023). Response times in drivers' gap acceptance decisions during overtaking. Transportation Research Part F: Traffic Psychology and Behaviour, 94, 329-340.
Vos, J., de Winter, J., Farah, H., & Hagenzieker, M. (2023). Which visual cues do drivers use to anticipate and slow down in freeway curve approach? An eye-tracking, think-aloud on-road study. Transportation Research Part F: Traffic Psychology and Behaviour, 94, 190-211.
Dong, Y., Patil, S., van Arem, B., & Farah, H. (2023). A hybrid spatial–temporal deep learning architecture for lane detection. Computer-Aided Civil and Infrastructure Engineering, 38(1), 67-86.
Farah, H., Postigo, I., Reddy, N., Dong, Y., Rydergren, C., Raju, N., & Olstam, J. (2022). Modeling Automated Driving in Microscopic Traffic Simulations for Traffic Performance Evaluations: Aspects to Consider and State of the Practice. IEEE Transactions on Intelligent Transportation Systems.
Reddy, N., Hoogendoorn, S. P., & Farah, H. (2022). How do the recognizability and driving styles of automated vehicles affect human drivers’ gap acceptance at T-Intersections?. Transportation research part F: traffic psychology and behaviour, 90, 451-465.
Soni, S., Reddy, N., Tsapi, A., van Arem, B., & Farah, H. (2022). Behavioral adaptations of human drivers interacting with automated vehicles. Transportation research part F: traffic psychology and behaviour, 86, 48-64. https://doi.org/10.1016/j.trf.2022.02.002
Raju, N., Schakel, W. J., Reddy, N., Dong, Y., & Farah, H. (2022). Car-Following Properties of a Commercial Adaptive Cruise Control System-A Pilot Field Test. Transportation Research Record.
Berge, S. H., Hagenzieker, M., Farah, H., & de Winter, J. (2022). Do cyclists need HMIs in future automated traffic? An interview study. Transportation research part F: traffic psychology and behaviour, 84, 33-52.
Rad, S. R., Farah, H., Taale, H., van Arem, B., & Hoogendoorn, S. P. (2021). The impact of a dedicated lane for connected and automated vehicles on the behaviour of drivers of manual vehicles. Transportation Research Part F: Traffic Psychology and Behaviour, 82, 141-153.
Vos, J., Farah, H., & Hagenzieker, M. (2021). How do Dutch drivers perceive horizontal curves on freeway interchanges and which cues influence their speed choice?. IATSS research, 45(2), 258-266.
Tafidis, P., Farah, H., Brijs, T., & Pirdavani, A. (2021). “Everything Somewhere” or “Something Everywhere”: Examining the Implications of Automated Vehicles’ Deployment Strategies. Sustainability, 13(17), 9750.
Núñez Velasco, J. P., de Vries, A., Farah, H., van Arem, B., & Hagenzieker, M. P. (2021). Cyclists’ Crossing Intentions When Interacting with Automated Vehicles: A Virtual Reality Study. Information, 12(1), 7.
Schoenmakers, M., Yang, D., & Farah, H. (2021). Car-following behavioural adaptation when driving next to automated vehicles on a dedicated lane on motorways: A driving simulator study in the Netherlands. Transportation research part F: traffic psychology and behaviour, 78, 119-129.
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, 22(5), 2589-2598.
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.
Projects
The fundamental objective of the AfroSAFE project is to significantly advance the spread of the Safe System mode of operation in the context of road safety initiatives in African nations. This is achieved by exposing local practitioners and decision-makers to state-of-the-art knowledge and practices in road safety management based on Safe System principles, and by supporting them by sharing knowledge, tools, and methods for road safety improvement—adapted to African conditions and in close collaboration with local actors.
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.
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.
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
Jinyang Zhao, On-going (CSC Scholarship)
Research on Decision-making Method of Smart Vehicle Driving Behavior
Delft University of Technology
Willem-Jan Gieszen, On-going
Overlapping Turbulence of Motorway Discontinuities. Effects and Countermeasures Within Spatial Constraints
Delft University of Technology
Dennis Andreoli, On-going
The Impact of the Urban Environment on the Perceived Safety and Experience of Cyclists
Eindhoven University of Technology
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
Yiyun Wang, Graduated 2024 (CSC Scholarship)
Safety Evaluation Method and Management Strategies of Mixed Traffic with Human Driven and Automated Vehicles
Tongji University
Johan Vos, Graduated 2024
Drivers’ Behaviour on Freeway Curve Approach: Different Angles, Different Perspectives
Delft University of Technology
Solmaz Razmi Rad, Graduated 2023
Performance and Safety Evaluation of Dedicated Lanes for Automated and Connected Vehicles
Delft University of Technology
Paul van Gent, Graduated 2021
Your Car Knows Best - Safely Maximising Driver Compliance to a Lane-Change Assistant
Delft University of Technology
Pablo Nunez Velasco, Graduated 2021
Should I Stop or Should I Cross? Interactions between Vulnerable Road Users and Automated Vehicles
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
- +31 (15) 27 83401
- h.farah@tudelft.nl
-
Faculty of Civil Engineering and Geosciences
Building 23
Stevinweg 1
2628 CN Delft
Room: 4.20
