Sebastian Senge

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

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...