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Solving Last Mile Problem as a Personal Service for Citizens

机译：作为公民的个人服务解决最后一英里的问题

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The last mile problem is crucially important for big cities. To solve it you need to find the ideal balance between different criteria: the mobility of people, comfort, unique characteristics of every person, the profit of transport system and other criteria in more complex models. To solve this problem for dynamic (not fixed) routes part, we offer to use the ontological description of citizens and transport system for matching and multi-agent technologies to plan different types of transport. To prove the idea a prototype of an intelligent multiagent transport system matcher was created. Based on a simple model of Person, Transport and Infrastructure description we proved the feasibility of the approach. In this paper for the first time, we present the Smart Transport System as a personal service provided for citizens. The main idea of the work is to take a step towards the new paradigm where not people adjust their plans for transport but smart transport provides personal service to every citizen according to their needs.
机译：最后一英里的问题对于大城市至关重要。为了解决这个问题，您需要在不同标准之间找到理想的平衡：人员流动性，舒适性，每个人的独特特征，运输系统的利润以及更复杂模型中的其他标准。为了解决动态（非固定）路线部分的此问题，我们提供使用市民和运输系统的本体描述进行匹配和多主体技术来规划不同类型的运输。为了证明这一想法，创建了智能多代理传输系统匹配器的原型。基于人员，运输和基础设施描述的简单模型，我们证明了该方法的可行性。在本文中，我们首次提出了智能交通系统，作为为公民提供的个人服务。该工作的主要思想是朝着新的范式迈出一步，在这种新范式中，人们无需调整运输计划，而智能运输则可以根据需要为每个公民提供个性化服务。

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