Highly Dynamic and Adaptive Traffic Congestion Avoidance in Real-Time Inspired by Honey Bee Behavior

Wedde, Horst F.; Lehnhoff, Sebastian; Bonn, Bernhard van; Bay, Z.; Becker, Stefan; Böttcher, Sven; Brunner, C.; Büscher, Armin; Fürst, Thomas; Lazarescu, Anca M.; Rotaru, Elisei; Senge, Sebastian; Steinbach, Bastian; Yılmaz, Fatih; Zimmermann, Thomas

doi:10.1007/978-3-540-74837-3_3

Cited by 14 publications

(8 citation statements)

References 6 publications

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“…Wedde et al (2007) presented a completely decentralized multi-agent approach (termed BeeJamA) on multiple layers where car or truck routing are handled through algorithms adapted from the BeeHive algorithms which in turn have been derived from honey bee behavior. They reported superior performance of BeeJamA over conventional approaches (Wedde et al 2008). Navrat (2006) proposed an approach to web search based on a bee hive metaphor comprising of a dance floor, an auditorium, and a dispatch room.…”

Section: Queen Beementioning

confidence: 99%

A survey: algorithms simulating bee swarm intelligence

2009

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Swarm intelligence is an emerging area in the field of optimization and researchers have developed various algorithms by modeling the behaviors of different swarm of animals and insects such as ants, termites, bees, birds, fishes. In 1990s, Ant Colony Optimization based on ant swarm and Particle Swarm Optimization based on bird flocks and fish schools have been introduced and they have been applied to solve optimization problems in various areas within a time of two decade. However, the intelligent behaviors of bee swarm have inspired the researchers especially during the last decade to develop new algorithms. This work presents a survey of the algorithms described based on the intelligence in bee swarms and their applications.

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Section: Queen Beementioning

confidence: 99%

A survey: algorithms simulating bee swarm intelligence

2009

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“…However, problem areas have become increasingly obvious in the course of embedding appropriate management and control processes, which affect the economic and environmental efficiency of the applied solutions. Examples include automatic traffic control systems designed to prevent congestion and shorten individual travel times [Wedde et al, 2007]. Powering electric vehicles with alternative energy sources, in particular solar panels or wind turbines, turned out to be no less difficult.…”

Section: From Socio-technical Systems To Intelligent Infrastructuresmentioning

confidence: 99%

“…This implements the "local activity" principle: the input from a domestic energy source is fed into the grid and contributes to global distribution patterns. Thus, smart grids with integrated communication systems provide a dynamically regulated power supply [Wedde, Lehnhoff, 2007]. This is an example of large and complex structures operating in real time according to the cyber-physical systems' principles.…”

Section: From Socio-technical Systems To Intelligent Infrastructuresmentioning

confidence: 99%

Technology Foresight and Sustainable Innovation Development in the Complex Dynamical Systems View

Mainzer¹

2020

Foresight and STI Governance

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Information and communication technologies (ICT) which are transforming most areas develop non-linearly. Failure to take into account the nonlinear principles of complex dynamic systems hinders development of balanced innovation strategies. Companies and governments lose the ability to effectively respond to “grand challenges”. The linear approach does not allow covering a wide range of critical areas simultaneously in the scope of Foresight projects, prevents from applying an interdisciplinary approach to developing innovation strategies, correct risks assessment, and making informed decisions. The paper proposes a solution: management based on “cyber-physical systems” (CPS) built on dynamic complexity and nonlinearity principles. Such systems not only integrate computing and physical action but are embedded in everyday environment; they are more than the sum of multiple intelligent computing devices. CPS transforms into collective social systems, integrate information, energy, and material flows, and adapt to physical processes. Cyber-physical systems can offer a sustainable information infrastructure which serves as a prerequisite for building up the innovation potential of a company, region, or country. They make it possible to analyse all stages of an innovation project from the technical and organisational points of view simultaneously, cover all possible social consequences and challenges, and identify unexpected promising developments. CPS have a decentralised structure which allows to solve complex problems and manage large and complex structures in real time, such as an energy grid, transport, smart city, healthcare, etc.

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“…The second category in this field (i.e., distributed path recommendation protocols) produces more real‐time and more accurate traffic congestion avoidance recommendations. The path leading toward each destination is recommended through cooperative communication among a set of distributed processors (i.e., RSUs); these are scattered throughout the area of interest . Our previously proposed path recommendation protocol (ICOD) provides vehicles with accurate information concerning recommendations for the least congested path leading toward the respective destinations, in a dynamic and distributed manner.…”

Section: Related Workmentioning

confidence: 99%

Traffic balancing-based path recommendation mechanisms in vehicular networks

Younes

Boukerche

Román-Alonso

2015

Wirel. Commun. Mob. Comput.

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In this paper, we propose both reactive and proactive balancing traffic path recommendation mechanisms, which we refer to as Bal-Traf and Abs-Bal, respectively. Bal-Traf is initiated when a certain output road segment located at any road intersection is detected in an overloaded situation. In the event that the existing traffic density of any output road exceeds its optimal capacity, Bal-Traf recommends that those vehicles that plan to pass over this road segment as next hop choose another, less congested output road segment. On the other hand, Abs-Bal is a proactive balancing traffic mechanism. Its main purpose is to distribute input traffic completely even among all output road segments at intersections. Moreover, Abs-Bal considers the best travel time of vehicles in addition to the goal of balancing traffic. From the experimental results, we can see that Bal-Traf eliminates the number of overwhelmed road segments over the road network in scenarios with only partial network congestion. It also decreases the number of congested road segments in scenarios with complete network congestion. However, it increases the density drastically over the remaining congested road segments in these scenarios. Abs-Bal performs well in decreasing the percentage of congested road segments and balancing traffic among road segments located throughout the road network, in the event of complete network congestion.

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Highly Dynamic and Adaptive Traffic Congestion Avoidance in Real-Time Inspired by Honey Bee Behavior

Cited by 14 publications

References 6 publications

A survey: algorithms simulating bee swarm intelligence

A survey: algorithms simulating bee swarm intelligence

Technology Foresight and Sustainable Innovation Development in the Complex Dynamical Systems View

Traffic balancing-based path recommendation mechanisms in vehicular networks

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