Simulation of Multi-Agent based Cybernetic Transportation System

Wang, Fenghui; Yang, Ming; Yang, Rui

doi:10.1016/j.simpat.2008.08.008

Cited by 16 publications

(9 citation statements)

References 9 publications

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“…Laporte and Smet (1999) and Gillett and Miller (1974) present heuristics for vehicle routing problems. Among these research works, the problems solved in Pasquier et al (2001), Dror et al (1998), Hafez et al (2001) and Wang et al (2006), Wang et al (2008) fall close to the context of our problem.…”

Section: Introductionsupporting

confidence: 68%

“…Pasquier, Quek, Tan, and Chee (2001) propose a heuristic solution to the Dynamic TransportationPlanning Problem using a Blackboard-based approach. Wang, Yang, and Yang (2006), Wang, Yang, and Yang (2008) present agent based models for cybernetic transportation. Dror (1998) and Hafez, Parent, and Proth (2001) present a model for distribution of self-service electric cars.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Centralized fleet management system for cybernetic transportation

Awasthi

Chauhan

Parent

et al. 2011

Expert Systems with Applications

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Section: Introductionsupporting

confidence: 68%

Section: Introductionmentioning

confidence: 99%

Centralized fleet management system for cybernetic transportation

Awasthi

Chauhan

Parent

et al. 2011

Expert Systems with Applications

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“…It is obvious that a "banking system" [11] or a "transport system" [12] as sets of static systems, in turn, consist of many cybernetic systems. Therefore, in relation to such objects it is better to speak about an opportunity of influence on the functioning of such structures, but not about the principles of control.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Principles of cybernetic systems interaction, their definition and classification

Lutsenko

2016

EEJET

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Предметом дослідження є об'єкти, які визначаються поняттям «система», а саме той клас систем, об'єкти якого забезпечують виконання певної функції. Такий клас систем визначено поняттям «кібернетичні системи» (КС). Об'єктом дослідження є процеси взаємодії КС. В результаті досліджен-ня було встановлено властивості КС, особливості їх архітек-турного взаємодії і дано визначення КС. Отримані результати можуть використовуватися при проектуванні автоматичних ліній у вигляді адаптивних, оптимальних об'єктів інтерак-тивної взаємодії Ключові слова: статична система, кібернетична систе-ма, динамічна система, система перетворення, система буферізації Предметом исследования являются объекты, которые определяются понятием «система», а именно тот класс систем, объекты которого обеспечивают выполнение опре-деленной функции. Такой класс систем определен поняти-ем «кибернетические системы» (КС). Объектом исследова-ния являются процессы взаимодействия КС. В результате исследования были установлены свойства КС, особенности их архитектурного взаимодействия и дано определение КС. Полученные результаты могут использоваться при проек-тировании автоматических линий в виде адаптивних, опти-мальних объектов интерактивного взаимодействия Ключевые слова: статическая система, кибернетическая система, динамическая система, система преобразования, система буферизации UDC 007.52

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“…Kailong et al [26] modeled a statedriven passing-through mechanism by combining the physical and kinematic properties of both the environment and driverless vehicles, and proposed centralized reservation-oriented scheduling algorithm. Fenghui et al [27] simulated dynamical fleet planning of driverless vehicles of CTS with multi-agent system theories, and then proposed a planning algorithm to promote cooperation among such vehicles. In practice, most of these studies are typically verified via simulation methods, such as in [25] and [28].…”

Section: B Related Work and Start-of-artmentioning

confidence: 99%

State-Driven Priority Scheduling Mechanisms for Driverless Vehicles Approaching Intersections

Zhang

Fortelle

et al. 2015

IEEE Trans. Intell. Transport. Syst.

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Scheduling driverless vehicles with different priorities to pass through intersections efficiently and safely has been becoming an important passing-through intersection (PTI) problem in the field of novel intelligent traffic systems (ITS), which is increasingly becoming cyber-physical-fused and social-serviceoriented. Considering new emerging features with possible priorities, a novel centralized priority scheduling mechanism is mainly explored in this paper. First, related pivotal aspects of environment and driverless vehicles are modeled by fusing their physical and kinematic characters. Based on these models, PTI-related motions are further abstracted as several reservation-oriented standard states and actions. Then, an event-triggered and state-driven autonomous control procedure is designed. By mapping vehicular relations in spatiotemporal domain into time-distance windows, a universal passing-through principle, rules, and priority-based scheduling mechanisms are proposed and described in detail. Finally, a priority scheduling algorithm sPriorFIFO is proposed and designed. These models and mechanisms are then implemented within an algorithm simulator, through which scheduling performances are verified and evaluated.

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Simulation of Multi-Agent based Cybernetic Transportation System

Cited by 16 publications

References 9 publications

Centralized fleet management system for cybernetic transportation

Centralized fleet management system for cybernetic transportation

Principles of cybernetic systems interaction, their definition and classification

State-Driven Priority Scheduling Mechanisms for Driverless Vehicles Approaching Intersections

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