Search Results - "Nippold, R."

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  1. 1

    USING AIRBORNE REMOTE SENSING TO INCREASE SITUATIONAL AWARENESS IN CIVIL PROTECTION AND HUMANITARIAN RELIEF – THE IMPORTANCE OF USER INVOLVEMENT by Römer, H., Kiefl, R., Henkel, F., Wenxi, C., Nippold, R., Kurz, F., Kippnich, U.

    “…Enhancing situational awareness in real-time (RT) civil protection and emergency response scenarios requires the development of comprehensive monitoring…”
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    Journal Article Conference Proceeding
  2. 2

    Extended Fundamental Diagrams by Wagner, Peter, Nippold, Ronald, Grötsch, Johannes

    Published in Transportation research record (01-04-2020)
    “…By using a large data-base of single vehicle data from a German freeway, the fundamental diagram (FD) can be extended. These types of data allow extraction of…”
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    Journal Article
  3. 3

    Challenges in Applying Calibration Methods to Stochastic Traffic Models by Wagner, Peter, Buisson, Christine, Nippold, Ronald

    Published in Transportation research record (2016)
    “…This paper evaluates calibration and validation as a means to understand traffic flow models better. The paper concentrates on the car-following part of these…”
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    Journal Article
  4. 4
  5. 5

    USING AIRBORNE REMOTE SENSING TO INCREASE SITUATIONAL AWARENESS IN CIVIL PROTECTION AND HUMANITARIAN RELIEF – THE IMPORTANCE OF USER INVOLVEMENT by Römer, H., Kiefl, R., Henkel, F., Wenxi, C., Nippold, R., Kurz, F., Kippnich, U.

    “…Enhancing situational awareness in real-time (RT) civil protection and emergency response scenarios requires the development of comprehensive monitoring…”
    Get full text
    Journal Article
  6. 6

    Calibration of car-following models with single- and multi-step approaches by Nippold, R., Wagner, P.

    “…Microscopic traffic simulation models are applied in the analysis of transportation systems for years. Nevertheless, calibration (and validation) of…”
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    Conference Proceeding
  7. 7

    Presenting the project SekQuaSens3: combining a networked sensor concept with model-based decisions for optimized energy flow in a district by Reininghaus, N., Kroener, M., Schneider, T., Waiz, K., Flötteröd, Y. -P., Díaz, M. L., Nippold, R., Vehse, M.

    “…Battery electric vehicles and heating are the largest energy consumers of a neighbourhood. Therefore, we present the project SekQuaSens 3 of the German…”
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    Conference Proceeding