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Research on the energy traffic collaborative decision model and interactive pattern for urban region

机译:城市地区能源交通协同决策模型与交互模式研究

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摘要

The problems caused by energy traffic congestion have presently become a severe issue that the urban traffics around the world faces. According to existing road conditions, one of the effective ways to solve these problems is to improve current ways on the energy traffic control and management. Under the background of biological collaborative phenomenon, some regional adjacent signal intersections are connected in to a CAN bus control network, thus a kind of immune co-evolutionary mechanism are designed to optimize regional traffic parameters, moreover, a detailed analysis and discussion is also carried out on a regional energy traffic collaborative decision model, interactive pattern and CAN protocol, so the efficiency of solving the energy traffic problems in urban central regions is effectively improved.
机译:目前,由能源交通拥堵引起的问题已成为世界范围内城市交通面临的严峻问题。根据现有的路况,解决这些问题的有效方法之一就是改进目前的能源交通控制与管理方法。在生物协作现象的背景下,将一些区域相邻的信号交叉口连接到CAN总线控制网络,从而设计了一种免疫协同进化机制来优化区域交通参数,并进行了详细的分析和讨论。通过建立区域能源交通协同决策模型,交互模式和CAN协议,有效提高了解决城市中部地区能源交通问题的效率。

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