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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%
Topics
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
Empirical analysis of an in-car speed, headway and lane use Advisory system
Abstract
For a recently developed in-car speed, headway and lane use advisory system, this paper investigates empirically advice validity (advice given in correct traffic circumstances), credibility (advice logical to drivers) and frequency. The system has been developed to optimize traffic flow by giving advice on a tactical scale. This scale allows traffic flow improvement and fills a gap as most ITS which aim to optimize traffic flow operate on the operational or strategic scale. Using log files of the actual system for a period of two weeks, the validity, credibility and frequency of advices is determined. Validity is not guaranteed as the advices are determined based on a predicted traffic state due to data delay and as the advices are based on the predicted traffic state 1 minute in the future. Given that the advisory system is a first in its kind, a new methodology was developed to assess the system, based on the use of virtual trajectories and defining indicators to assess, validity, credibility and frequency. The analysis shows that many advices are indeed valid and credible, but some are not, allowing room for improvement. Advice frequency is found to be reasonable. The analysis also shows that in-car filtering of advices, i.e. merging equal advices, is important to lower the frequency. ; Transport & Planning ; Civil Engineering and Geosciences
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