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An Agent Based Simulation Model Applied to Emergency Vehicles in High Traffic Urban Environments

机译：基于Agent的仿真模型在高交通量城市环境中的应急车辆中的应用

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Advances in information and communication technology offer new tools in managing the ever-growing urban infrastructure. It is non-trivial to design, maintain and expand road networks that insure a safe and fast transport of goods and people while still permitting a quick intervention in emergency situations. The objective of this paper is to present a simulated traffic model application. In this respect, we employ the use of cell agents which are a basic component of CitySCAPE, a Synergic Control Architecture for Protection during Emergencies. The traffic system is modelled and simulated using a multi-agent based solution which will allow emergency responders to go through a group of intersections with minimal waiting time. The purpose of the simulation is to obtain a lower travel time for emergency vehicles than the average value, inside the considered geographical area, taking into account the inherent uncertainties of the drivers' decisions to follow certain urban routes.
机译：信息和通信技术的进步为管理不断增长的城市基础设施提供了新的工具。设计，维护和扩展道路网络，以确保安全，快速地运输货物和人员，同时仍允许在紧急情况下进行快速干预，这并非易事。本文的目的是提出一种模拟交通模型的应用。在这方面，我们使用细胞代理，这是CitySCAPE的基本组成部分，CitySCAPE是在紧急情况下提供保护的协同控制架构。使用基于多代理的解决方案对交通系统进行建模和仿真，该解决方案将使紧急响应人员能够以最少的等待时间通过一组十字路口。模拟的目的是在考虑到驾驶员决定沿着某些城市路线行驶时固有的不确定性的情况下，使紧急车辆的行驶时间比所考虑的地理区域内的平均值要短。

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