Enabling the use of a planning agent for urban traffic management via enriched and integrated urban data

Enabling the use of a planning agent for urban traffic management via enriched and integrated urban data
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通过丰富和集成的城市数据,支持使用规划代理进行城市交通管理

DOI:
10.1016/j.trc.2018.12.005
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发表时间:
2019
期刊:
Emerging Technologies
影响因子:
--
通讯作者:
Antoniou G
Antoniou G
中科院分区:
--
文献类型:
--
作者:
Antoniou G

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改善城市的基础设施被视为其可持续性的重要组成部分,通过技术整合带来效率和机会。一个重要的步骤是支持各种数据的整合和丰富,通常使用最先进的链接数据方法。这种丰富的许多优点之一是,这可能使使用智能过程来自主管理城市设施,如交通信号controls.In本文中,我们试图整合传感器和历史数据集使用数据中心和一组本体的数据。我们认为,这样的高层次的综合数据源的访问导致城市交通运营商的能力的增强。我们通过记录规划代理的开发来证明这一点,该规划代理以逻辑语句的形式使用此类数据作为输入,并且当给定要实现的交通目标时,输出复杂的交通信号策略,帮助交通运营商处理道路封闭或道路交通等异常事件饱和。其目的是创建一个自主代理,该代理在遇到涉及饱和道路的异常事件时对运输运营商的命令做出反应,并创建,执行和监控计划以应对此类事件的影响。我们评估的智能代理在一个区域的一个大的城市地区,城市交通运营商的指导下。
Improving a city’s infrastructure is seen as a crucial part of its sustainability, leading to efficiencies and opportunities driven by technology integration. One significant step is to support the integration and enrichment of a broad variety of data, often using state of the art linked data approaches. Among the many advantages of such enrichment is that this may enable the use of intelligent processes to autonomously manage urban facilities such as traffic signal controls.In this paper we document an attempt to integrate sets of sensor and historical data using a data hub and a set of ontologies for the data. We argue that access to such high level integrated data sources leads to the enhancement of the capabilities of an urban transport operator. We demonstrate this by documenting the development of a planning agent which uses such data as inputs in the form of logic statements, and when given traffic goals to achieve, outputs complex traffic signal strategies which help transport operators deal with exceptional events such as road closures or road traffic saturation. The aim is to create an autonomous agent which reacts to commands from transport operators in the face of exceptional events involving saturated roads, and creates, executes and monitors plans to deal with the effects of such events. We evaluate the intelligent agent in a region of a large urban area, under the direction of urban transport operators.
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