Searched for: author%3A%22Papadimitriou%2C+E.%22
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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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Yannis, George (author), Papadimitriou, E. (author)
contribution to periodical 2024
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Tselentis, D. (author), Papadimitriou, E. (author), van Gelder, P.H.A.J.M. (author)
Recent research in transport safety focuses on the processing of large amounts of available data by means of intelligent systems, in order to decrease the number of accidents for transportation users. Several Machine Learning (ML) and Artificial Intelligence (AI) applications have been developed to address safety problems and improve efficiency...
journal article 2023
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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)
Driving pattern recognition has been applied for the purposes of driving styles identification and harsh driving events detection. However, the evolution of driving behavior around and especially before such events has not been investigated at a microscopic level. The objective of this research is to reveal existing driving patterns around harsh...
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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Afghari, A.P. (author), Vos, J. (author), Farah, H. (author), Papadimitriou, E. (author)
Driver anticipation plays a crucial role in crashes along horizontal curves. Anticipation is related to road predictability and can be influenced by roadway geometric design. Therefore, it is essential to understand which geometric design elements can influence anticipation and cause the road to be (un)predictable. This exercise, however, is not...
journal article 2023
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Song, R. (author), Papadimitriou, E. (author), Negenborn, R.R. (author), van Gelder, P.H.A.J.M. (author)
The safety of maritime autonomous surface ships (MASS) in mixed waterborne transport system (MWTS) depends on effective situational awareness (SA) distribution among MASS, manned ships, and various stakeholders, such as Vessel Traffic Service (VTS), Remote Control Center (RCC) and Fairway Shipping Agency. This paper focuses on the research...
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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Papadimitriou, E. (author), Farah, H. (author), van de Kaa, G. (author), Santoni De Sio, F. (author), Hagenzieker, Marjan (author), van Gelder, P.H.A.J.M. (author)
Automated vehicles (AVs) aim to dramatically improve traffic safety by reducing or eliminating human error, which remains the leading cause of road crashes. However, commonly accepted standards for the ‘safe driving behaviour of machines’ are pending and urgently needed. Unless a common understanding of safety as a design value is achieved,...
journal article 2022
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Afghari, A.P. (author), Papadimitriou, E. (author), Pilkington-Cheney, Fran (author), Filtness, Ashleigh (author), Brijs, Tom (author), Brijs, Kris (author), Cuenen, Ariane (author), De Vos, Bart (author), Dirix, Helene (author), Ross, Veerle (author), Wets, Geert (author), Lourenço, André (author), Rodrigues, Lourenço (author)
Sleepiness is a common human factor among truck drivers resulting from sleep loss or time of day and causing impairment in vigilance, attention, and driving performance. While driver sleepiness may be associated with increased risk on the road, sleepy drivers may drive more cautiously as a result of risk-compensating behaviour. This endogeneity...
journal article 2022
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Song, R. (author), Papadimitriou, E. (author), Negenborn, R.R. (author), van Gelder, P.H.A.J.M. (author)
Many projects related to maritime autonomous surface ships (MASS) have been proceeding to date, which promotes the commercialization of MASS. It is anticipated that there will be ships with different degrees of autonomy coexisting in a waterborne transport system (WTS) in the near future, forming a mixed waterborne transport system (MWTS). To...
journal article 2022
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Song, R. (author), Wen, Yuanqiao (author), Tao, Wei (author), Zhang, Qi (author), Papadimitriou, E. (author), van Gelder, P.H.A.J.M. (author)
Ship behavior is the semantic expression of corresponding trajectory in spatial-temporal space. The intelligent identification of ship behavior is critical for safety supervision in the waterborne transport. In particular, the complicated behavior reflects the long-term intentions of a ship, but it is challenging to recognize it automatically...
journal article 2022
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Papadimitriou, E. (author), Afghari, A.P. (author), Tselentis, D. (author), van Gelder, P.H.A.J.M. (author)
Road safety research is largely focused on prediction and prevention of technical, human or organisational failures that may result in critical conflicts or crashes. Indicators of traffic risk aim to capture the passage to unsafe states. However, research in other industries has shown that it is meaningful to analyse safety along the whole...
journal article 2022
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Berrio, Shyrle (author), Barrero, Lope H. (author), Zambrano, Laura (author), Papadimitriou, E. (author)
Comprehension of traffic signs is important to road safety. This review aims to study the extent to which road users in different countries comprehend traffic signs and to identify which ergonomic principles in traffic sign design can affect the levels of comprehension. We conducted an extensive literature review dealing with comprehension of...
review 2022
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Katrakazas, Christos (author), Theofilatos, Athanasios (author), Islam, Md Ashraful (author), Papadimitriou, E. (author), Dimitriou, Loukas (author), Antoniou, Constantinos (author)
Traffic conflicts are heavily correlated with traffic collisions and may provide insightful information on the failure mechanism and factors that contribute more towards a collision. Although proactive traffic management systems have been supported heavily in the research community, and autonomous vehicles (AVs) are soon to become a reality,...
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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Afghari, A.P. (author), Papadimitriou, E. (author), Li, Xiaomeng (author), Kaye, Sherrie Anne (author), Oviedo-Trespalacios, O. (author)
Intentionally blocking the path of fully automated vehicles is an important dimension of pedestrians’ receptivity towards these vehicles. The monetary value of this behaviour can be obtained by asking pedestrians about their perception of the “fine” for blocking the path of a fully automated vehicle. Econometric modelling of the reported fine...
journal article 2021
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Afghari, A.P. (author), Faghih Imani, Ahmadreza (author), Papadimitriou, E. (author), van Gelder, P.H.A.J.M. (author), Hezaveh, Amin Mohamadi (author)
Despite the proven effectiveness of seatbelt use in reducing traffic casualties, not wearing a seatbelt still contributes to a substantial proportion of fatal crashes worldwide. This problem has raised the need to better understand factors contributing to seatbelt use, particularly in multi-occupant vehicles. Among these factors, behavioural...
journal article 2021
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Economou, Alexandra (author), Pavlou, Dimosthenis (author), Beratis, Ion (author), Andronas, Nikolaos (author), Papadimitriou, E. (author), Papageorgiou, Sokratis G. (author), Yannis, George (author)
Objectives: To examine the driving variables that predict accident probability in mild dementia due to Alzheimer's disease (AD), mild cognitive impairment (MCI) and healthy older control drivers in simulated driving. To compare the three groups in mean performance and in frequency of scores exceeding 1.5 SD from the mean. Methods/Design:...
journal article 2020
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