Theresa Ziemke

Theresa Ziemke
Technische Universität Berlin | TUB · Department of Land and Sea Transport Systems

Master of Science

About

20
Publications
1,718
Reads
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93
Citations
Citations since 2017
15 Research Items
92 Citations
201720182019202020212022202305101520253035
201720182019202020212022202305101520253035
201720182019202020212022202305101520253035
201720182019202020212022202305101520253035

Publications

Publications (20)
Article
Mathematical approaches for modeling dynamic traffic can be roughly divided into two categories: discrete packet routing models and continuous flow over time models. Despite very vital research activities on models in both categories, their connection was poorly understood so far. We build this connection by specifying a (competitive) packet routin...
Article
Traffic signals strongly influence traffic in cities – in terms of delay but also in terms of the emissions emitted by traffic. This work analyzes the effect of different traffic control strategies on emissions like NOx and PMx. Simulations of an inner-city arterial show that reducing the speed limit leads to a lower production of NOx and PMx, but...
Conference Paper
Full-text available
Traffic signals strongly influence traffic in cities - in terms of delay but also in terms of the emissions emitted by traffic. This work analyzes the effect of different traffic control strategies on emissions like NOx and PMx. Simulations of an inner-city arterial show that reducing the speed limit leads to a lower production of NOx and PMx, but...
Article
Reinforcement learning is an efficient, widely used machine learning technique that performs well in problems with a reasonable number of states and actions. This is rarely the case regarding control-related problems, as for instance controlling traffic signals, where the state space can be very large. One way to deal with the curse of dimensionali...
Preprint
Full-text available
The mathematical approaches for modeling dynamic traffic can roughly be divided into two categories: discrete packet routing models and continuous flow over time models. Despite very vital research activities on models in both categories, the connection between these approaches was poorly understood so far. In this work we build this connection by...
Article
OpenStreetMap (OSM) offers information on traffic networks like the position of intersections and streets, road categories, speed limits, number of lanes etc. Based on this information, network input data for transport simulations, e.g. the agent-based transport simulation MATSim can be generated. A MATSim network is modeled as a graph with nodes (...
Article
Reinforcement learning is an efficient, widely used machine learning technique that performs well when the state and action spaces have a reasonable size. This is rarely the case regarding control-related problems, as for instance controlling traffic signals. Here, the state space can be very large. In order to deal with the curse of dimensionality...
Article
Full-text available
This study examines the connection between an agent-based transport simulation and Nash flows over time. While the former is able to represent many details of traffic and model large-scale, real-world traffic situations with a co-evolutionary approach, the latter provides an environment for provable mathematical statements and results on exact user...
Article
Full-text available
This study provides an open-source implementation of a decentralized, adaptive signal control algorithm in the agent-based transport simulation MATSim, which is applicable for large-scale real-world scenarios. The implementation is based on the algorithm proposed by Lämmer and Helbing (2008), which had promising results, but was not applicable to r...
Article
Full-text available
This paper contributes to the question how to optimize fixed-time traffic signal coordinations for real-world applications. Therefore, two models are combined: An analytically model that optimizes fixed-time plans based on a cyclically time-expanded network formulation, and a coevolutionary transport simulation that is able to evaluate the optimize...
Article
Full-text available
This paper describes the implementation of the fully traffic adaptive signal control algorithm by Lämmer² in the agent-based transport simulation MATSim. The implementation is tested at an illustrative, single intersection scenario and compared to the results of Lammers MATLAB simulation. Plausibility of the self-controlled signals and overall resu...
Article
Full-text available
A variety of approaches exist that model traffic time-dependently. While all approaches have their advantages and disadvantages but have to find a balance between modeling traffic as realistic as possible and being still manageable in combinational terms. While transport simulations are efficient in evaluating user equilibria in large scale scenari...
Article
Full-text available
Abstract Braess's paradox states that adding a link to the network can increase total travel time in a user equilibrium. In this paper, Braess's paradox is analyzed in the agent-based transport simulation MATSim. It can be observed, that two different types of the paradox occur: In the absence of spill back effects, the delay per agent caused by ad...
Thesis
Full-text available
We study the design of traffic networks to influence selfish behavior by introducing speed limits on the streets. To model such a street network, we consider a directed graph in which the latency of an edge experienced by travelers is a function of its congestion. Users want to travel from a source vertex s to a destination vertex t and are assumed...
Technical Report
This paper is a technical report about the spatial interpolation of structured data. There are many di�erent interpolation methods. This report provides a general overview about interpolation methods, discusses three methods bilinear interpolation, bicubic spline interpola- tion and inverse distance weighting in more depth and compares them based o...
Thesis
Full-text available
Wir zeigen auf Grundlage der Ausarbeitung von Fleischer et al. (2004) die Existenz von Maut, welche in Mehrgüternetzwerken mit heterogenen Nutzern das Systemoptimum, das heißt die Minimierung der Gesamtreisezeit, erzwingt. Mit ihrem konstruktiven Beweis geben Fleischer et al. die Möglichkeit, die optimale Maut in polynomieller Zeit in der Anzahl de...

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