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Zgonnikov, A. (author), Beckers, N.W.M. (author), George, A. (author), Abbink, D.A. (author), Jonker, C.M. (author)Understanding behavior of human drivers in interactions with automated vehicles (AV) can aid the development of future AVs. Existing investigations of such behavior have predominantly focused on situations in which an AV a priori needs to take action because the human has the right of way. However, future AVs might need to proactively manage...journal article 2024
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Razmi Rad, S. (author)Dedicated lanes have been proposed as a potential scenario for the deployment of connected and automated vehicles (CAVs) on the road network. However, knowledge on the design and operation of DLs and their impacts on the behaviour of drivers of CAVs and manual vehicles is lacking in the literature. This dissertation provides a research agenda on...doctoral thesis 2023
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van der El, Kasper (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)In the design of human-like steering support systems, driver models are essential for matching the supporting automation's behavior to that of the human driver. However, current driver models are very limited in capturing the driver's adaptation to key task variables such as road width and visibility (i.e., 'preview' of the road ahead). This...journal article 2023
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Sevenster, A.L.A. (author), Farah, H. (author), Abbink, D.A. (author), Zgonnikov, A. (author)Overtaking on two-lane roads can lead to increased collision risks due to drivers' errors in evaluating whether or not to accept the gap to the vehicle in the opposite lane. Understanding these gap acceptance decisions can help mitigate the risks associated with overtaking. Previous research on overtaking has focused on the factors...journal article 2023
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Song, Q. (author), Tan, Rui (author), Wang, J. (author)Driver Behavior Modeling (DBM) aims to predict and model human driving behaviors, which is typically incorporated into the Advanced Driver Assistance System to enhance transportation safety and improve driving experience. Inverse reinforcement learning (IRL) is a prevailing DBM technique with the goal of modeling the driving policy by...conference paper 2023
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Sheykhfard, Abbas (author), Haghighi, Farshidreza (author), Papadimitriou, E. (author), Das, Subasish (author), van Gelder, P.H.A.J.M. (author)Although signal countdown timers (SCTs) are likely to enhance efficiency at signalized intersections, there is little research on how they affect road users’ behavior. The present study explores factors associated with driver behavior through two approaches to examine how SCTs influence drivers’ actions toward pedestrians violating red lights....journal article 2023
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Zgonnikov, A. (author), Abbink, D.A. (author), Markkula, Gustav (author)Objective: We aim to bridge the gap between naturalistic studies of driver behavior and modern cognitive and neuroscientific accounts of decision making by modeling the cognitive processes underlying left-turn gap acceptance by human drivers. Background: Understanding decisions of human drivers is essential for the development of safe and...journal article 2022
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Musicant, Oren (author), Farah, H. (author), Shinar, David (author), Collet, Christian (author)Driver behavior and performance have been studied extensively in the last decades. Researchers have developed theories and models of driver situational awareness, driver decision-making and errors, information processing, and mental workload. Meanwhile, other scholars have focused on creating and optimizing in-vehicle technology-based...contribution to periodical 2021
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Sheykhfard, A. (author), Haghighi, Farshidreza (author)A significant portion of pedestrian accidents occurs in the outskirts areas due to the high vehicle speed and lack of safety facilities for pedestrians. Behavioral study on drivers and pedestrians is the key to better understand the causes of pedestrian accidents in order to develop safety models. Despite numerous studies on pedestrian safety...journal article 2020
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Engström, Johan (author), Miller, Andrew (author), Huang, Wenyan (author), Soccolich, Susan (author), Ghanipoor Machiani, Sahar (author), Jahangiri, Arash (author), Dreger, F.A. (author), de Winter, J.C.F. (author)This report gives an overview of the main findings from the Behavior-based Predictive Safety Analytics – Pilot Study project. The main objective of the project was to investigate the possibilities of developing statistical models predicting individual driver crash involvement based on individual driving style, demographic and behavioral history...report 2019
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Cats, O. (author)Urban bus services are subject to high levels of uncertainty and disturbances. Methods to determine the timetable are designed to absorb variations in riding times between stops by allocating additional travel time. The propagation of service unreliability along the route could be restrained by drivers' adjustment at stops and between stops....journal article 2019
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Dreger, F.A. (author), de Winter, J.C.F. (author), Shyrokau, B. (author), Happee, R. (author)Merging sections are challenging for drivers of heavy goods vehicles. Visual support for merging was evaluated in a simulator. Experiment 1 tested HMIs that provided participants (n = 5) driving on the on-ramp with a top view or various forms of speed advice for accelerating behind or in front of a truck platoon on the freeway. Experiment 2...conference paper 2019
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Varotto, S.F. (author), Farah, H. (author), Toledo, T (author), van Arem, B. (author), Hoogendoorn, S.P. (author)Automated vehicles and driving assistance systems such as Adaptive Cruise Control (ACC) are expected to reduce traffic congestion, accidents and levels of emissions. Field Operational Tests have found that drivers may prefer to deactivate ACC in dense traffic flow conditions and before changing lanes. Despite the potential effects of these...conference paper 2017
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Lakerveld, P.R. (author), Damveld, H.J. (author), Pool, D.M. (author), van der El, K. (author), van Paassen, M.M. (author), Mulder, Max (author)This paper investigates the importance of yaw and sway motion cues in curve driving simulation. While such motion cues are known to enhance simulation realism, their function in supporting realistic driver behavior in simulators is still largely unknown. A human-in-the-loop curve driving experiment was performed in the SIMONA Research Simulator...journal article 2016
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Farah, H. (author), Zatmeh, S. (author), Toledo, T. (author)The rapid increase in the availability of smart phones and other infotainment devices, and their widespread use while driving, contributes significantly to car crash rates. This is since the human brain has limited capacity and cannot perform two tasks at the same time, but rather switches from one to another rapidly. Understanding of the impact...conference paper 2015
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Rendón-Vélez, E. (author)One can often hear people discussing the reasons why a road accident has happened: “She had to pick up her kids in the school before four o’clock and she was driving in haste and careless”, “He was stressed, he wanted to reach the beginning of the football match, tried to drive faster and didn't appreciate the red light”. In each of these...doctoral thesis 2014
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Li, J. (author)The high growth rate of vehicle ownership and many novel drivers in China determine the special features of Chinese driver behavior. This thesis introduces a comparative study on driver behavior by the analysis of saturation flow at urban intersections, Driver Behavior Questionnaire surveys, focus group discussion, and in-car tests. The main...doctoral thesis 2014
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Li, J. (author), van Zuylen, H.J. (author), van der Horst, E. (author)Driver behavior in China shows remarkable differences from that in western countries. In this study, six focus groups were organized to investigate Chinese drivers’ attitudes, expectations, intended actions, their preferences, and habits in different situations in urban areas. The outcomes show that there are important opportunities to improve...conference paper 2014
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van Leeuwen, P.M. (author), Happee, R. (author), de Winter, J.C.F. (author)The young driver problem requires remedial measures against speeding and overconfidence. Previous research has shown that increasing the task difficulty during training can enhance subsequent retention performance and prevent overconfidence. In this driving simulator study, we evaluated the training effectiveness of vertical field of view...journal article 2014
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Jie, L. (author), Fangfang, Z. (author), Van Zuylen, H.J. (author), Shoufeng, L. (author)Micro simulation programs are often used to assess the quality of traffic conditions. They are especially suited to evaluate possible control scenarios in advance, so that the scenarios can be selected and optimized before implementation. Of course, the simulation programs should be valid for the traffic situation that has to be modeled with...journal article 2011
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