Predictive Artificial Potential Field Method and its Application on Robot Soccer Path Planning

Huang, Peng; Miao, Chang Yun; Guo, Li Jin; Liu, Ying

doi:10.4028/www.scientific.net/amm.48-49.840

Cited by 2 publications

(2 citation statements)

References 2 publications

(2 reference statements)

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“…The artificial potential field method [5] is introduced to handle the path planning of evacuees. Under the guidance of the artificial potential field, evacuees move from the location of the high potential value to the location of the low potential value.…”

Section: Model Specificationmentioning

confidence: 99%

Multi-Agent Simulation of Emergency Evacuation on the Sidewalk

Chen

Zhu

et al. 2012

AMM

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Transportation evacuation study has become a research focus in recent years. This paper deals with emergency evacuation on the sidewalk using agent-based simulation. The current study develops a traffic simulator within NetLogo, an agent-based environment. Two sub-models are proposed including facility sub-model to describe global path planning of evacuee and evacuee sub-model to describe the evacuee behavior. We conducted simulations to investigate the effect of generation position of evacuees and the proportion of choosing bus on evacuation through a case study. Simulation results indicate that the proposed model can well address the interaction among evacuees with different evacuation modes, and if evacuees choosing bus evacuate near bus station and evacuees choosing walk evacuate away from bus station, then average walking time of evacuees and maximum density in statistical area are relatively small.

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Section: Model Specificationmentioning

confidence: 99%

Multi-Agent Simulation of Emergency Evacuation on the Sidewalk

Chen

Zhu

et al. 2012

AMM

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“…Prahlad [5] establishes Evolutionary Artificial Potential Field(EAPF) which combines Genetic algorithm with potential field. In addition, there are along wall method [6] , simulated annealing method [7] , grid method [8] , etc.…”

Section: Introductionmentioning

confidence: 99%

A Potential Field Model Avoiding Local Minimum in Pedestrian Simulation

He¹,

Li²,

Lu³

2013

AMM

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For reflecting those behaviors in the simulation that pedestrians choose to wait, scrape or round after being trapped in local minimum, based on the static spatial potential field with big grid, dynamic potential field is obtained after adding in time-consumption potential field and waiting potential field. Time-consumption potential field replaces traditional pedestrian repulsive field and changes with grid space occupancy while waiting potential field has the attribution of attenuation and enhancement together. Simulation experiments are used to verify various selections that pedestrian make when they face different space occupancy. The result shows that this model is not only able to guarantee efficiency and accuracy, but also closer to real walking characteristics.

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Predictive Artificial Potential Field Method and its Application on Robot Soccer Path Planning

Cited by 2 publications

References 2 publications

Multi-Agent Simulation of Emergency Evacuation on the Sidewalk

Multi-Agent Simulation of Emergency Evacuation on the Sidewalk

A Potential Field Model Avoiding Local Minimum in Pedestrian Simulation

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