NSF/USDOT Partnership for Exploratory Research - ICSST: Cooperative Traffic Management and Route Guidance: A Multi-agent Based Approach
NSF/USDOT Partnership for Exploratory Research - ICSST: Cooperative Traffic Management and Route Guidance: A Multi-agent Based Approach
批准号:
0127934
负责人:
Goutam Satapathy
金额:
$10.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-10-01 至 2002-09-30
中文摘要
摘要:本研究将探索一种基于多智能体协商的交通管理和路径引导方法。在提出的多智能体系统合作运输管理和路线引导系统(CTMRGS)中,IRANS(车载路由和导航系统)和isp(信息服务提供商)被表示为智能体。这个想法是让所有司机和他们的伊朗人有能力选择、制造和支付安全、高效、经济的旅行。每个IRANS代理与ISP代理协商行程,以便对首选路线进行最小的更改,从而确保驾驶员将遵守它。ISP代理将预期的道路使用情况告知网络管理员,以换取当前的交通状况,用于ISP的协商模型。提议的谈判是基于一种新的基于原则谈判的方法,与文献中讨论的其他多主体谈判和议价方法(例如合同-网络)有很大不同。因此,谈判并不完全基于个体代理人的效用最大化准则。agent在协商路由之前交换各自的目标标准,使彼此的目标被包含在路由生成和更改函数中。拟议的多智能体系统符合综合交通管理/路线指导的ATIS6市场包,特别侧重于克服当前ATIS6包中存在的驾驶员不合规障碍。
英文摘要
Abstract: This research effort will explore a multi-agent negotiation-based approach to traffic management and route guidance. In the proposed multi-agent system called Cooperative Transportation Management and Route Guidance System (CTMRGS), IRANS (In-vehicle Routing and Navigation Systems) and ISPs (Information Service Providers) are represented as agents. The idea is to allow all drivers and their IRANS to have the ability to choose, make, and pay for a safe, efficient, cost-effective trip. Each IRANS agent negotiates with the ISP agents about the trip for a minimal change in the preferred routes and thus ensures that the driver will comply with it. The ISP agents inform network managers with the anticipated road usages in exchange for the current traffic conditions to be used in the ISP's negotiation model. The proposed negotiation is based on a new principled negotiation based approach that is significantly different from other multi-agent negotiation and bargaining approaches (e.g., contract-net) discussed in the literature. Therefore negotiation is not entirely based on individual agent's utility maximization criteria. The agents exchange their objective criteria before they negotiate for routes so that each other's objectives are included in the route generation and alteration functions. The proposed multi-agent system is compliant with ATIS6 market package for Integrated Transportation Management/Route Guidance with specific focus on overcoming drivers' non-compliance hurdles present in the current ATIS6 package.
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