A5020244234- Transportation Planning and Optimization
- Traffic control and management
- Transportation and Mobility Innovations
- Traffic Prediction and Management Techniques
- Urban Transport and Accessibility
- Urban and Freight Transport Logistics
- Simulation Techniques and Applications
- COVID-19 epidemiological studies
- Evacuation and Crowd Dynamics
- Human Mobility and Location-Based Analysis
- Astro and Planetary Science
- COVID-19 Digital Contact Tracing
- Planetary Science and Exploration
- Digital Innovation in Industries
- Cellular Automata and Applications
- Public Administration and Political Analysis
- Health and Medical Studies
- Economic and Environmental Valuation
- Vehicle emissions and performance
- High-Velocity Impact and Material Behavior
- Complex Systems and Time Series Analysis
- Ecology, Conservation, and Geographical Studies
- Data Visualization and Analytics
- Space Exploration and Technology
- Data Management and Algorithms
Technische Universität Berlin
2016-2025
Berliner Verkehrsbetriebe (Germany)
2019-2024
Universität Hamburg
1983-2023
University Medical Center Hamburg-Eppendorf
2023
Entwicklungszentrum für Schiffstechnik und Transportsysteme
2004-2021
Institute of Electrical and Electronics Engineers
2019
ETH Zurich
2000-2016
University of Pretoria
2014
Fraunhofer Institute for Production Systems and Design Technology
2011-2013
Combustion Institute
2011
We introducea stochastic discrete automaton model to simulate freeway traffic.Monte-Carlo simulations of the show a transition from laminar traffic flow start-stopwaves with increasing vehicle density, as is observed in real traffic.For special cases analytical results can be obtained.
We investigate a probabilistic cellular automaton model which has been introduced recently. This describes single-lane traffic flow on ring and generalizes the asymmetric exclusion process models. study equilibrium properties calculate so-called fundamental diagrams (flow versus density) for parallel dynamics. is done numerically by computer simulations of means an improved mean-field approximation takes into account short-range correlations. For cars with maximum velocity 1, simplest...
Microscopic modeling of multilane traffic is usually done by applying heuristic lane changing rules and often with unsatisfying results. Recently, a cellular automaton model for two-lane was able to overcome some these problems generate the density inversion found in many European countries at densities somewhat below maximum flow density. In this paper we summarize different approaches their results propose general scheme, according which realistic can be developed. We test scheme it...
This paper shows how particle hopping models fit into the context of traffic flow theory, that is, it connections between fluid-dynamical models, which derive from Navier-Stokes equations, and models. In some cases, these are exact have long been established, but never viewed in theory. other critical behavior jam clusters can be compared to instabilities partial differential equations. Finally, is shown all this leads a consistent picture dynamics. consequence, starts building foundation...
We study a single-lane traffic model that is based on human driving behavior. The outflow from jam self-organizes to critical state of maximum throughput. Small perturbations the far downstream create emergent jams with power law distribution P(t)\ensuremath{\sim}${\mathit{t}}^{\mathrm{\ensuremath{-}}3/2}$ lifetimes t. On varying vehicle density in closed system, this separates lamellar and jammed regimes exhibits 1/f noise spectrum. Using random walk arguments, conjunction cascade equation,...
Certain aspects of traffic flow measurements imply the existence a phase transition. Models known from chaos and fractals, such as nonlinear analysis coupled differential equations, cellular automata, or maps, can generate behavior which indeed resembles transition in behavior. Other point out that same could be generated by geometrical constraints scenario. This paper looks at some empirical evidence, but mostly focuses on different modeling approaches. The theory jam dynamics is reviewed...
Microsimulation is becoming increasingly important in traffic demand modeling. The major advantage over traditional four-step models the ability to simulate each traveler individually. Decision-making processes can be included for individual. Traffic result of different decisions made by individuals; these lead plans that individuals then try optimize. Therefore, such microsimulation need appropriate initial patterns all given individuals. challenge create individual out general input data....
Abstract. Extreme natural events, like e.g. tsunamis or earthquakes, regularly lead to catastrophes with dramatic consequences. In recent years disasters caused hundreds of thousands deaths, destruction infrastructure, disruption economic activity and loss billions dollars worth property thus revealed considerable deficits hindering their effective management: Needs for stakeholders, decision-makers as well persons concerned include systematic risk identification evaluation, a way assess...
The model toolkit MATSim-T provides a variety of tools and resulting approaches to travel demand traffic flow their interactions. currently preferred configuration is presented in this paper together with detailed information about its computational performance. application small comparison the abilities system, but as computing times scale approximately linearly for system it gives an idea how can be used practical planning studies: 10% sample travellers Greater Zurich Area (190’000...
With more diverse transport policies being proposed and the advent of novel services technologies, system is becoming individualized in many aspects. Transport models, most important tool to assess schemes, need be sufficiently expressive address these developments. Agent-based where travelers with individual properties ability act decide autonomously are resolved individually, allow appropriately model analyze such policies. This paper describes MATSim Open Berlin Scenario, a simulation...
This study proposes and evaluates an efficient real-time taxi dispatching strategy that solves the linear assignment problem to find a globally optimal taxi-to-request at each decision epoch. The authors compare assignment-based with two popular rule-based strategies. They evaluate strategies in detail city of Berlin neighboring region Brandenburg using microscopic large-scale MATSim simulator. produced better results for both drivers (less idle driving) passengers waiting). However,...
Recently, ridesharing services have grown rapidly. In future, fleets of shared and pooled autonomous vehicles may transform urban mobility. this paper, we introduce an approach to dynamically simulate these within a full-stack transport simulation using insertion-based algorithm. first test case, taxi data set from Berlin, the potential for rides is evaluated fleet with capacity between two four ride requests. The suggests that overall vehicle kilometers traveled be reduced by 15–20%, while...
1 Executive summary We use human mobility models, for which we are experts, and attach a virus infection dynamics to it, not experts but have taken it from the literature, including recent publications. This results in spreading model. The should be verified, because of current time pressure, publish them their state. Recommendations improvement welcome. come following conclusions: Complete lockdown works . About 10 days after lockdown, dies down. assumes that is complete, can guaranteed...
Epidemiological simulations as a method are used to better understand and predict the spreading of infectious diseases, for example COVID-19. This paper presents an approach that combines well-established from transportation modelling uses person-centric data-driven human mobility with mechanistic infection model disease progression model. The includes consequences different room sizes, air exchange rates, import, changed activity participation rates over time (coming data), masks, indoors...
Abstract Cities and other human settlements are major contributors to climate change highly vulnerable its impacts. They also uniquely positioned reduce greenhouse gas emissions lead adaptation efforts. These compound challenges opportunities require a comprehensive perspective on the public policy of settlements. Drawing core literature that has driven debate around cities over recent decades, we put forward set boundary objects can be applied connect knowledge epistemic communities support...