Daniel Lückerath

Daniel Lückerath
Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS | IAIS · Adaptive Reflective Teams (ART)

Dr. rer. nat.

About

44
Publications
11,201
Reads
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123
Citations
Introduction
Daniel Lückerath is a senior researcher and project manager at the Adaptive Reflective Teams (ART) department of the Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS.
Additional affiliations
June 2019 - present
Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS
Position
  • Project Manager
March 2017 - June 2019
Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS
Position
  • PostDoc Position
October 2014 - April 2015
Florida International University
Position
  • Research Associate
Education
May 2011 - December 2016
University of Cologne
Field of study
  • Computer Science
October 2005 - March 2011
University of Cologne
Field of study
  • Information Systems

Publications

Publications (44)
Article
Full-text available
Especially suitable for the modeling and simulation of technical systems in a wider sense, discrete-event simulation is one of the most important and most versatile tools of the craft. Both students and practitioners should be familiar with its principles and mechanics, in particular if they are interested to look beyond their favorite modeling too...
Chapter
This chapter gives an introduction to risk-based vulnerability assessment of urban infrastructure regarding the consequences of climate change, by describing an approach developed as part of the EU-funded research and innovation project Climate Resilient Cities and Infrastructures. The approach is modular, widely applicable, and supported by a suit...
Chapter
Full-text available
Consequences of climate change, like more frequent extreme weather events, are major challenges for urban areas. With diverse approaches for adaptation strategy development available to cities, comparability with respect to risks, vulnerabilities, and adaptation options is limited. The lack of standardized methods and approaches to prioritize and s...
Conference Paper
Full-text available
The EU-H2020 project ARCH aims to develop and adapt tools and methods for assessing and improving the resilience of historic areas to climate-related and other natural hazards [1]. One of these tools is CIPCast, a scenario simulation and decision support system for the analysis and forecast of risks and vulnerabilities of critical infrastructure co...
Article
Shifting from effect- towards cause-oriented and systemic approaches in sustainable climate change adaptation requires a solid understanding of the climate-related and societal causes behind climate risks. Thus, capturing, systemizing, and prioritizing factors contributing to climate risks are essential for developing cause-oriented climate risk an...
Article
Full-text available
Risks related to climate change and natural hazards increasingly affect urban areas such as historic towns, old urban quarters, villages, and hamlets. These, as well as historic landscapes, make up a significant part of an urban area’s identity and cannot just be rebuilt or significantly changed without taking into account the historic value, cultu...
Article
Full-text available
Historic areas (HAs) are highly vulnerable to natural hazards, including earthquakes, that can cause severe damage, if not total destruction. This paper proposes methods that can be implemented through a geographical information system to assess earthquake-induced physical damages and the resulting impacts on the functions of HAs and to monitor the...
Book
Full-text available
Atlas dopadov zmeny klímy na území hlavného mesta SR Bratislavy nadväzuje na spoluprácu hlavného mesta v projekte H2020 Mestá a infraštruktúry odolné voči dôsledkom zmeny klímy (Climate resilient cities and infrastructures – RESIN), podporeného grantom zo schémy EÚ pre aplikovaný výskum nazývanej Horizont 2020. Celkovo bolo do projektu, ktorý sa re...
Conference Paper
Full-text available
This paper applies the Tree-Attribute-Matrix (TAM) modelling method to a simplified model of an urban light-rail transportation system. The resulting model is a conceptual model that is beneficial for understanding, management and coordination of the system on a high level, in particular when different (interdisciplinary) stakeholders are involved....
Cover Page
Full-text available
Cover page, preface and table of contents. Proceedings available at https://www.asim-gi.org/fileadmin/user_upload_asim/ASIM_Publikationen_OA/AM174_OA/AM174_AR59_2020_vSST25_Proceedings_OA.pdf
Article
Full-text available
Some discrete simulation models are too large to be executed on a single processor; in other cases, results might be required faster than a sequential execution can provide them. Such models are candidates for parallelization. Here, models are distributed among several processors, and are then executed with careful synchronization.This paper provid...
Conference Paper
In bus transit networks without dedicated bus lanes vehicle traversal times are strongly dependent on the traffic density of the corresponding road segments. This paper takes the first steps towards demonstrating that the traffic density has regular patterns that yield a small number of periodic effects on the traversal time: the current traversal...
Chapter
Extreme weather events resulting from climate change are severe threats to urban population centers with their high density of residents and economic assets. The combination of climate change‐related impacts and the trend towards increasing urbanization necessitates improvements to municipal climate change adaptation planning processes, which are a...
Conference Paper
Full-text available
Public transit networks are critical components of urban infrastructure threatened by climate change and related extreme weather events. These events include sudden, heavy precipitation, pluvial and fluvial flooding, and landslides , which can significantly affect network components like stops, switches, or track segments. The ongoing trend towards...
Chapter
Crisis management is a complex process, handling critical situations caused by natural or human-made hazards. In the response phase, crisis managers often have limited time to react on unexpected events. Hence, sufficient training during the preparedness phase of crisis management plays a vital role for correct behaviours under time pressure. Signi...
Patent
Full-text available
Techniques and systems are disclosed for receiving user input related to three co-optimized objectives, factors, or parameters, and translating the user input into weight factors for a tri-variable weighting function. In various embodiments, a triangular user interface element is displayed that allows a user to assign importance weights to three in...
Article
Full-text available
Urban population centers are especially vulnerable to extreme weather events and climate change. Local decision makers demand standardized processes, methods, and tools enabling them to design and implement climate adaptation strategies for their specific contexts. The project “Climate Resilient Cities and Infrastructures – RESIN” aims at providing...
Article
Timetable regularity, that is, equability of headways, is an important measure for service quality in high frequency public transit systems, assuring an evenly distributed passenger load as well as improving product attractiveness. However, to be feasible during daily operation a timetable may also have to adhere to other planning requirements, suc...
Conference Paper
Full-text available
Urban population centers are especially vulnerable to extreme weather events and climate change. Local decision makers demand standardized processes, methods, and tools enabling them to design and implement climate adaptation strategies for their specific contexts. The project “Climate Resilient Cities and Infrastructures – RESIN” aims at providing...
Article
Full-text available
Once planning and construction will be complete, Cologne’s new subway tunnel will enable fast and direct transportation between the central and southern urban quarters, and the city’s central station. This paper takes a closer look at the project’s four decades spanning history, its characteristics, and the impact of its integration on the overall...
Article
Full-text available
Typically, public transit modeling requires the availability of an extensive data basis to enable detailed modeling, calibration, and validation. Sometimes such data is not available, even though there is demand for a simulation model to examine the impacts of planning decisions and strategies. However, available data may support a simulation model...
Thesis
Full-text available
Until recently the project Computer Aided Traffic Scheduling (CATS) was only concerned with the design and implementation of methods and software tools that enable transport providers to generate, simulate and evaluate tram schedules, assisting them during the tactical planning phase. During the work on the project the desire for a simulation softw...
Article
Full-text available
Described is a simulation model of cruising for garage parking, intended both for the calibration and evaluation of real-time parking recommendation methods, and as a base for predictive guidance to available parking. The model combines the event-based and agent-based simulation approaches to represent the parking garage and the driver behavior. It...
Conference Paper
Parking guidance systems have to be calibrated and evaluated before their application in the field. One step to accomplish this is to evaluate them in a simulated environment. This paper presents a simple model of cruising for parking in a parking garage with focus on individual drivers’ behavior. While the described model itself is too basic to c...
Article
Full-text available
In public transit planning, regularity of timetables is seen as an important means to improve capacity efficiency by assuring an even trip distribution, as well as to improve product attractiveness and appreciation. This paper focuses on examining whether a regular timetable can also help to reduce network delay, especially resulting from inevitabl...
Technical Report
Full-text available
Like many other university courses, University of Cologne's programming class can be attended by differently sized teams, who handle presentations and homework collectively. Because students typically have tight schedules, it is preferable to give individual students the opportunity to weight the available time slot options according to their indiv...
Article
Full-text available
The city of Montpellier in the Languedoc-Roussillon region of France features a fast growing tram network as a central part of its public service infrastructure. Here, as in many other tram networks, resources like tracks and stations are shared between different lines. Because of the resulting dependencies, small inevitable delays can spread throu...
Conference Paper
Full-text available
Nicht in jedem Stadtbahnnetz ist Robustheit als Optimierungskriterium für Fahrpläne gleichsam geeignet. Im Rahmen dieses Beitrags werden deshalb Faktoren für die Netzstruktur bestimmt, die die Wirksamkeit von Robustheit als verspätungsmindernden Faktor beeinflussen. Anhand von Optimierungs- und Simulationsexperimenten auf Basis von Modellen der Sta...
Conference Paper
Full-text available
To be a feasible base for simulation studies of Cologne's tram network, a valid vehicle schedule has to consider several requirements, like multiple vehicle depots and multiple types of vehicles. The local transport provider utilizes both low-floor and high-floor vehicles, with high-floor vehicles being qualified to serve both high-floor and low-fl...
Conference Paper
Full-text available
To re-establish the regular driving operations of a tram network, which was disturbed significantly by unforeseen external events, traffic schedulers apply rescheduling and rerouting strategies. These strategies are usually multi-modal; they consider the interaction of trams, buses, even taxis. Thus, to evaluate the applicability of a given resched...
Article
Full-text available
To re-establish regular operations in a tram traffic network after a large disturbance, e.g. resulting from vehicle breakdown or station closure, the viability of several rescheduling and rerouting strategies has to be evaluated prior to their implementation. Here, a multi-modal traffic simulation system can help to enhance the decision quality. Su...
Conference Paper
Full-text available
Highly utilized tram networks, where multiple lines share tracks and stations, are inevitably affected by disturbances during daily operation. While consequences of small, local perturbations may be counteracted by schedule characteristics, e.g. robustness, long lasting disturbances have to be addressed by dispatchers via schedule adjustments. Seve...
Article
Full-text available
In mid-sized cities, tram networks are major components of public service infrastructure. In those networks with their typically dense schedules, multiple lines share tracks and stations, resulting in a dynamic system behavior and mounting delays following even small disruptions. Robustness is an important factor to keep delays from spreading throu...
Article
Full-text available
In many tram networks multiple lines share tracks and stations, thus requiring robust schedules which prevent inevitable delays from spreading through the network. Feasible schedules also have to fulfill various planning requirements originating from political and economical reasons. In this article we present a tool set designed to generate schedu...

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Projects

Projects (5)
Project
The world is changing at an unprecedented rate, and AI is at the forefront of this change. While providing numerous benefits, many have raised concerns over the impact AI has or will have on matters such as security. The EU-funded ALIGNER project aims to unite European actors who have concerns about AI, law enforcement and policing to jointly identify and discuss how to enhance Europe’s security whereby AI strengthens law enforcement agencies while providing benefits to the public. The project’s work will help pave the way for an AI research roadmap. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 101020574.