| People | Locations | Statistics |
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| Seuring, Stefan |
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| Nor Azizi, S. |
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| Pato, Margarida Vaz |
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| Kölker, Katrin |
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| Huber, Oliver |
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| Király, Tamás |
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| Spengler, Thomas Stefan |
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| Al-Ammar, Essam A. |
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| Dargahi, Fatemeh |
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| Mota, Rui |
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| Mazalan, Nurul Aliah Amirah |
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| Macharis, Cathy | Brussels |
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| Arunasari, Yova Tri |
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| Nunez, Alfredo | Delft |
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| Bouhorma, Mohammed |
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| Bonato, Matteo |
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| Fitriani, Ira |
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| Autor Correspondente Coelho, Sílvia. |
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| Pond, Stephen |
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| Okwara, Ukoha Kalu |
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| Toufigh, Vahid |
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| Campisi, Tiziana | Enna |
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| Ermolieva, Tatiana |
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| Sánchez-Cambronero, Santos |
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| Agzamov, Akhror |
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Schakel, W. J.
in Cooperation with on an Cooperation-Score of 37%
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Publications (11/11 displayed)
- 2021Impact of radio channel characteristics on the longitudinal behaviour of truck platoons in critical car-following situations
- 2020A generic multi-scale framework for microscopic traffic simulation part II: Anticipation Reliance as compensation mechanism for potential task overloadcitations
- 2019Using advanced adaptive cruise control systems to reduce congestion at sags: An evaluation based on microscopic traffic simulationcitations
- 2019Using advanced adaptive cruise control systems to reduce congestion at sags: An evaluation based on microscopic traffic simulationcitations
- 2018Exploring the effects of perception errors and anticipation strategies on traffic accidents - A simulation studycitations
- 2017Will Automated Vehicles Negatively Impact Traffic Flow?citations
- 2017Will automated vehicles negatively impact traffic flow?citations
- 2017Pleasure in using adaptive cruise control: A questionnaire study in The Netherlandscitations
- 2014Empirical analysis of an in-car speed, headway and lane use Advisory system
- 2014Improving traffic flow efficiency by in-car advice on lane, speed, and Headwaycitations
- 2010Effects of cooperative adaptive cruise control on traffic flow stabilitycitations
Places of action
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conferencepaper
Exploring the effects of perception errors and anticipation strategies on traffic accidents - A simulation study
Abstract
It is remarkable that drivers (on average) can safely navigate through dense traffic at high speeds—conditions in which the time headways between vehicles are in the same order of magnitude as human reaction times. One explanation for this is the ability of drivers to anticipate on the traffic conditions in their surroundings. In this paper, we study, through simulation, the effects of reaction times, errors in perception and anticipation on the probability of accidents on freeways. To this end we extend an existing model for car following and lane changing with a perception and anticipation model inspired by Ensley’s three levels of situational awareness (perception, understanding and projection). By systematically varying driving behavior with different reaction times over a range of perception errors, and anticipation strategies, we compute efficiency effects (capacity and total time spent) and safety effects (the probability density of accidents happening as a function of these different contributing factors and errors). The results provide some evidence that safe driving is robust with respect to perception errors under simple anticipation strategies and small reaction times. When reaction times grow larger, more advanced anticipation strategies are needed to guarantee safe driving. ; Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. ; Transport and Planning ; Policy Analysis
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