| 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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Fürbeth, Uwe
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Publications (18/18 displayed)
- 2024Centre of gravity of motor vehiclescitations
- 2023Post-Collision Run-Out Vehicle Deceleration Based on Real-World Datacitations
- 2023Bewertung von Fahrrädern mit elektrischer Tretunterstützung
- 2022Crashworthiness among side pole testing
- 2021Second Generation of Digital Tachographs - Modifications and Accuracy of Data
- 2020Manipulation of electrically power assisted single track vehicles
- 2020Axle load distribution of cars
- 2019Pop-up bonnets in pedestrian collisions
- 2019Roll degree of freedom of the body of two-track vehicles in traffic accidents
- 2018Driving within the sight distance - velocities in this regards for travelling blind bends and plan transition curves
- 2018Comparing On-Vehicle Speed with UDS and GPS Data and Analyzing Latency Times
- 2018Vehicle deceleration in pedestrian accidents
- 2018Expected, calculated and in-field mileage and life period of passenger cars
- 2017Conditions of lower extremities in pedestrian accidents
- 2017Moments of inertia for vehicles of EU-classification L3e, M1(G), N1 and O
- 2016Centre of Gravity Position of Motor Vehicle
- 2015Operational safety of electronic stability programs
- 2015Influence of vehicle's pitch angle in pedestrian collisions
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article
Post-Collision Run-Out Vehicle Deceleration Based on Real-World Data
Abstract
<jats:p><div class="section abstract"><div class="htmlview paragraph">In traffic accidents, the run-out is the phase after impact until reaching afinal rest position. Analyzing and reconstructing this phase is a task leadingsometimes to a broad bandwidth of results. This can be due to the unknowndriver’s reaction and braking behavior. The well-known literature describesrollout decelerations, but these exclude the influence of the driver,particularly with regard to accident situations. Measurement data fromreal-world collisions can help quantifying the vehicle’s deceleration during therun-out and thus at least partially close the existing research gap. Therefore,this study deals with the systematic evaluation of real-world measurement datafrom intersection collisions collected by accident data recorders. Thehigh-frequency acceleration and speed data of 45 accident vehicles with impactvelocities up to 70 kph were processed for this purpose; characteristic valuesfor the run-out phase were calculated in each case and then statisticallyevaluated. Results in terms of mean deceleration rates are presented as well asconclusions about driver’s post-collision behavior. On the one hand, the datareveal that it is extremely unlikely that a vehicle will not be actively brakedby the driver during run-out and, on the other hand, that braking with maximumdeceleration is also unlikely. The results indicate a mean resultant run-outdeceleration with respect to time of 4.5 m/s<sup>2</sup> and with respect todistance of 4.1 m/s<sup>2</sup>. This means more intensive braking by humandrivers after a collision than typical deceleration in normal everyday drivingactivities and is comparable to intervention of advanced driver-assistancesystems. These findings can assist the reconstructionist analyzing intersectionaccidents in quantifying or narrowing down the level of deceleration of avehicle in run-out and for this reason the driver’s post-collision behavior.</div></div></jats:p>
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