Sebastian Senge

Sebastian Senge
  • Dr. rer. nat.
  • Researcher at TU Dortmund University

About

15
Publications
966
Reads
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146
Citations
Current institution
TU Dortmund University
Current position
  • Researcher
Additional affiliations
April 2009 - present
TU Dortmund University
Position
  • Researcher

Publications

Publications (15)
Article
We present and evaluate our distributed and self-adaptive vehicle routing guidance approach, termed BeeJamA, which provides drivers safely with routing directions well before each intersection. Our approach is based on a multiagent system, which is inspired by the honey bee foraging behavior. It relies on a distributed vehicle-to-infrastructure arc...
Conference Paper
In this paper we investigate the effects of marginal cost pricing and multi-criteria routing as an addition of our distributed real-time vehicle guidance protocol BeeJamA. BeeJamA is is honey bee-inspired swarm intelligence approach for minimizing individual travel times based on a vehicle-to-infrastructure architecture. We propose changes to the s...
Article
Full-text available
In this paper we assess the impact of path reservation as an additional feature in our distributed real-time vehicle guidance protocol BeeJamA. Through our microscopic simulations we show that na\"{\i}ve reservation of links without any further measurements is only an improvement in case of complete market penetration, otherwise it even reduces the...
Conference Paper
Physical parts of a system to interacting software components. In many cyber-physical systems considered nowadays, the system's parts form a network structure with concurrent entities and the need of seamless scaling and fault-tolerant information dissemination and decentralized methods. In this contribution we point out that swarm intelligence app...
Conference Paper
We present and evaluate our self-adaptive and distributed vehicle route guidance approach, termed BeeJamA, which provides drivers safely with routing directions well before each intersection. Our approach is based on a multi-agent system which is inspired by the honey bee behavior and relies on a decentralized vehicle-to-infrastructure architecture...
Conference Paper
We present and evaluate our adaptive and distributed vehicle routing approach, termed BeeJamA, which provides drivers safely with routing directions well before each intersection. Our approach is based on a multi-agent system which is inspired by the honey bee behavior and relies on a V2I architecture. We report on our extensive simulation experime...
Conference Paper
Traffic congestions have been a major problem in metropolitan areas worldwide, causing enormous economical as well as ecological damage. At the same time, in densely populated areas with high vehicle traffic, central information gathering and distribution to vehicles takes too long for providing accurate, let alone optimal routing directions (which...
Conference Paper
Full-text available
Traffic in densely populated regions increasingly suffers from congestion problems, to an extent which e.g. sub-stantially affects predictable transport planning. Due to the highly dynamic character of congestion forming and dissolv-ing, no static approach like shortest path finding, applied globally or individually in car navigators, is adequate h...
Chapter
Verkehrsstaus verursachen hohe Kosten — in ökonomischer als auch in ökologischer Hinsicht. Verkehrsstaus können als verteilte und dynamische Probleme betrachtet werden, da keine zentrale Regelinstanz, sondern im Gegenteil jeder Fahrer (im Wesentlichen unabhängig voneinander) über den Beginn und die Strecke der Fahrt selbst entscheidet. Wir argument...
Chapter
Full-text available
Traffic congestions have become a major problem in metropolitan areas world-wide, within and between cities, to an extent where they make driving and transportation times largely unpredictable. Due to the highly dynamic character of congestion building and dissolving this phenomenon appears even to resist a formal treatment. Static approaches, and...
Conference Paper
Full-text available
Commercial transport planning as well as individual intra-city or inter-city traffic in densely populated regions, both in Europe and the US, increasingly suffer from congestion problems, to an extent which e.g. affects predictable transport planning substantially (except - so far - for overnight tours). Due to the highly dynamic character of conge...
Article
Full-text available
Traffic congestions have been a major problem in metropolitan areas worldwide, causing enormous economical as well as ecological damage. We argue that, due to the highly dynamic character of congestion forming and dissolving, any adequate solution for individual online vehicle routing in large traffic systems will require distributed, adaptive coor...

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