Searched for: subject%3A%22Naturalistic%255C+driving%22
(1 - 15 of 15)
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Auerbach, Daniel (author)
The human-machine interfaces (HMIs) in passenger cars have become more complex over the years, with touch screens replacing physical buttons and more options becoming available. This can result in multiple layers of menus that have to be navigated to perform simple tasks and therefore increase distraction. In addition to this, there is no...
master thesis 2024
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Al Haddad, Christelle (author), Alam, Md Rakibul (author), Papadimitriou, E. (author), Brijs, Tom (author), Antoniou, Constantinos (author)
Naturalistic driving studies (NDS) have recently gained attention as a way of instrumenting vehicles in an unobtrusive way and collecting driving data over long periods of time. Aiming at eventually modeling driving behavior, NDS are often a part of larger scale studies. These studies involve several stakeholders who are responsible for...
journal article 2024
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Tselentis, D. (author), Papadimitriou, E. (author)
Driver behavior analytics is an important concept that plays a significant role in the understanding of road crashes. This paper investigates the optimal number of driver profiles to understand the most important characteristics that differentiate drivers and extract useful insights on the value of using different clustering approaches in...
journal article 2023
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Tselentis, D. (author), Papadimitriou, E. (author)
This study reviews the Artificial Intelligence and Machine Learning approaches developed thus far for driver profile and driving pattern recognition, representing a set of macroscopic and microscopic behaviors respectively, to enhance the understanding of human factors in road safety, and therefore reduce the number of crashes. It provides a...
journal article 2023
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Varotto, Silvia F. (author), Mons, Celina (author), Hogema, Jeroen H. (author), Christoph, Michiel (author), van Nes, C.N. (author), Martens, Marieke H. (author)
Advanced driver assistance systems such as adaptive cruise control (ACC) and lane keeping system (LKS) potentially contribute to reducing crash rates and traffic congestion. On-road studies based on early ACC systems operational at medium–high speeds only have shown that the system reduces the proportion of short time gaps when activated....
journal article 2022
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Stapel, J.C.J. (author)
Problem Definition According to the World Health Organization, traffic injuries have become the eighth cause of death and the leading cause among children and young adults. Human error, and in particular perceptual error, is among the most frequently reported causes of road fatalities. The desire to reduce traffic fatalities has led to the...
doctoral thesis 2021
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Varotto, Silvia F. (author), Jansen, Reinier (author), Bijleveld, Frits (author), van Nes, C.N. (author)
Traffic congestion and crash rates can be reduced by introducing variable speed limits (VSLs) and automatic incident detection (AID) systems. Previous findings based on loop detector measurements have revealed that drivers reduce their speeds while approaching traffic congestion when the AID system is active. Notwithstanding these behavioural...
journal article 2021
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Varotto, Silvia F. (author), Jansen, Reinier (author), Bijleveld, Frits (author), van Nes, C.N. (author)
Automatic incident detection (AID) systems and variable speed limits (VSLs) can reduce crash probability and traffic congestion. Studies based on loop detector data have shown that AID systems decrease the variation in speeds between drivers. Despite the impact on driver behaviour characteristics, most mathematical models evaluating the...
journal article 2021
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Lu, Chang (author), He, X. (author), van Lint, J.W.C. (author), Tu, Huizhao (author), Happee, R. (author), Wang, M. (author)
Surrogate measures of safety (SMoS) play an important role in detecting traffic conflicts and in traffic safety assessment. However, the underlying assumptions of SMoS are different and a certain SMoS may be adequate/inadequate for different applications. A comprehensive approach to evaluate the validity and applicability of SMoS is lacking...
journal article 2021
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Sheykhfard, A. (author), Haghighi, Farshidreza (author), Papadimitriou, E. (author), van Gelder, P.H.A.J.M. (author)
The importance of investigating pedestrian safety has been evaluated repeatedly in safety studies. The present study attempts to evaluate the various methods used by previous researchers in a hierarchical process, to determine the characteristics, advantages, and limitations of each method. Two general analysis approaches (passive and active)...
review 2021
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Pizzigoni, Edoardo (author)
Advanced Driving Assistance Systems (ADAS) technologies like Adaptive Cruise Control (ACC) are becoming the normality for many users, and many major car manufacturers are introducing SAE level 2 and 3 automation systems into the market. The main advantage of Automated Vehicles (AV) will be the significant decrease in road accidents and...
master thesis 2019
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de Gelder, E. (author), Paardekooper, Jan Pieter (author), Op den Camp, Olaf (author), De Schutter, B.H.K. (author)
Objective: The amount of collected field data from naturalistic driving studies is quickly increasing. The data are used for, among others, developing automated driving technologies (such as crash avoidance systems), studying driver interaction with such technologies, and gaining insights into the variety of scenarios in real-world traffic....
journal article 2019
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Cabrall, C.D.D. (author), Lu, Z. (author), Kyriakidis, M. (author), Manca, L. (author), Dijksterhuis, C. (author), Happee, R. (author), de Winter, J.C.F. (author)
A common challenge with processing naturalistic driving data is that humans may need to categorize great volumes of recorded visual information. By means of the online platform CrowdFlower, we investigated the potential of crowdsourcing to categorize driving scene features (i.e., presence of other road users, straight road segments, etc.) at...
journal article 2018
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Knapper, A.S. (author), Nes, Nicole Van (author), Christoph, Michiel (author), Hagenzieker, Marjan (author), Brookhuis, K.A. (author)
Objective: In this study, we assessed the use of portable navigation systems in everyday driving by applying in-vehicle naturalistic driving. Method: Experienced users of navigation systems, 7 females and 14 males, were provided with a specially equipped vehicle for approximately 1 month. Their trips were recorded using 4 cameras, Global...
journal article 2016
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Hagendoorn, R.G.C. (author)
Mental workload is an important subject in traffic safety research, however workload measurements are expensive and time intensive. To this end a measurement method is developed which uses short video fragments of driving situations to the subject, after which they are asked about their perceived mental effort if they would be driving through...
master thesis 2014
Searched for: subject%3A%22Naturalistic%255C+driving%22
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