Modelling Driver Behaviour in European Union and International Projects

Πάνου, Μαρία; Bekiaris, Evangelos; Papakostopoulos, Vassilis

doi:10.1007/978-1-84628-618-6_1

Cited by 21 publications

(14 citation statements)

References 16 publications

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“…Previous research suggests that the degree of experience with the system is important in assessing BA (Martens & Jenssen, 2012;Panou et al, 2007). Considering that it has been found that trust in ADAS and mental models grow over periods of weeks or months (Beggiato et al, 2015), it is plausible that the speed difference between Cont and Manual may be even larger than 7 km/h in the long run.…”

Section: Temporal Effects Of Behavioral Adaptationmentioning

confidence: 99%

“…Their results suggest that the taxi drivers misused the fact that ABS reduces the braking distance by driving closer to the vehicle in front. Such adaptation with negative consequences is called Behavioral Adaptation (BA) (OECD, 1990), and has been implicated in many types of ADAS including not only ABS, but also adaptive cruise control (Panou, Bekiaris, & Papakostopoulos, 2007), lane departure warning systems (RudinBrown & Noy, 2002), and collision avoidance systems (Janssen & Nilsson, 1993).…”

Section: Introductionmentioning

confidence: 99%

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Does haptic steering guidance instigate speeding? A driving simulator study into causes and remedies

Melman

Winter

Abbink

2017

Accident Analysis & Prevention

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C o v e r i ma g e a d o p t e d f r o m: F o t o k e r e n ( 2 0 1 5 , No v e mb e r ) . Ni g h t h i g h s p e e d c a r f u n [ Di g i t a l i ma g e ] . Re t r i e v e dMa y 2 3 , 2 0 1 6 , f r o m h t t p : / / f o t o k e r e n . n e t / n i g h t -h i g h -s p e e d -c a r -f u n / Driving a car has become a major part of our life. To assist drivers during this task new Advanced Driver Assistance Systems (ADAS) are developed to increase safety and comfort. In reality, however, these safety benefits are often diminished because of adaptations by the driver, such as adopting a higher speed or driving closer to the vehicle in front. In current literature, I found many theories trying to explain why people adapt, but few studies investigating ways to prevent these negative adaptations from occurring (entire literature study is available at http://repository.tudelft.nl/ for more detail). In this MSc. thesis I took the first step from explaining towards preventing behavioral adaptation, with the aim to make novel ADAS more effective in terms of safety.This thesis report is part of the fulfillment for the Master degree of Biomechanical Design at the Delft University of Technology. The driving simulator code, Matlab code used for the data analysis, and statistical analyses have been submitted to the BioMechanical Engineering depository on a USB stick, which is available on request. T. Melman Delft, May 2016iii Acknowledgments First, I would like to thank both my supervisors David Abbink and Joost de Winter for their enthusiasm and support during my MSc. thesis. David always knew how to motivate me, and was there to oversee the bigger picture, whereas Joost, with his keen eye for details, assisted me with tremendous devotion, especially during the last couple of weeks in order to send my thesis to a journal before my graduation. Although we had many memorable discussions, one moment in particular deserves to be mentioned in this acknowledgment; at Sunday evening prior to my experiment, I had some serious concerns. That very same evening, both helped me out, and took these concerns away. Despite the late hour, both were available to help me when I needed them the most. Abstract-An important issue in road traffic safety is that drivers show adverse behavioral adaptation (BA) to driver assistance systems. Haptic steering guidance is an upcoming assistance system which facilitates lane-keeping performance while keeping drivers in the loop, and which may be particularly prone to BA. Thus far, most experiments on haptic steering guidance have measured driver performance while the vehicle speed was kept constant, and so the degree of BA could not be established. The aim of the present driving simulator study was to examine whether haptic steering guidance causes BA in the form of speeding, and to evaluate two types of haptic steering guidance designed not to suffer from BA. Twenty-four participants drove a 1.8 m wide car for 13.9 km on a curved road, with cones demarcating a single 2.2 m narrow lane. Participants comple...

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Section: Temporal Effects Of Behavioral Adaptationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Does haptic steering guidance instigate speeding? A driving simulator study into causes and remedies

Melman

Winter

Abbink

2017

Accident Analysis & Prevention

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“…Increasing cognitive load on cognitive processes results in delaying and interrupting processing of captured information and therefore issuing the appropriate reaction in a longer time [28]. Some studies also found that cognitive load affects motor skills, such as steering control [29], acceleration and deceleration [30]. While some systems aim to improve the driver SA, they may ignore the driver's cognitive load.…”

Section: Situation Awareness In Driving Domainmentioning

confidence: 99%

Situational Awareness and Systems for Driver-Assistance

Alyamani¹,

Kavakli²

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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“…However, traditionally a typical modeling framework includes inputs from various sensors and vehicle controllers, preprocessing algorithms to filter the data if necessary, the core predictive models for particular tasks (these can follow the various levels discussed below), and feedback. An overview of various models that capture the dynamics between the driver, the vehicle, and the environment is presented in [6,8]. More generically, DBM can be considered to involve (1) a sensing phase, (2) a reasoning phase, and (3) an application layer, as illustrated in Figure 1.…”

Section: Overview and Preliminariesmentioning

confidence: 99%

“…The idea is to monitor driver actions either in a simulator or in a real environment and assess the driver safety and competence levels based on models for ideal driving. There has been particular interest in developing such systems for novice drivers and to retrain elderly drivers by understanding their deficiencies at different levels [8,26].…”

Section: Driver Training and Self-coachingmentioning

confidence: 99%

Driver Behavior Modeling: Developments and Future Directions

Ali

Abou-zeid

2016

International Journal of Vehicular Technology

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The advances in wireless communication schemes, mobile cloud and fog computing, and context-aware services boost a growing interest in the design, development, and deployment of driver behavior models for emerging applications. Despite the progressive advancements in various aspects of driver behavior modeling (DBM), only limited work can be found that reviews the growing body of literature, which only targets a subset of DBM processes. Thus a more general review of the diverse aspects of DBM, with an emphasis on the most recent developments, is needed. In this paper, we provide an overview of advances of in-vehicle and smartphone sensing capabilities and communication and recent applications and services of DBM and emphasize research challenges and key future directions.

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Modelling Driver Behaviour in European Union and International Projects

Cited by 21 publications

References 16 publications

Does haptic steering guidance instigate speeding? A driving simulator study into causes and remedies

Does haptic steering guidance instigate speeding? A driving simulator study into causes and remedies

Situational Awareness and Systems for Driver-Assistance

Driver Behavior Modeling: Developments and Future Directions

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