基于元胞自动机仿真的不同信息场景下交通能源基础设施服务效率分析

2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2019-07-01 DOI:10.1109/ICCICC46617.2019.9146029

Qiguang Lyu, Maozeng Xu, Guangcan Xu, Yong Liu, Xiaoping Zhou

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引用次数: 0

摘要

为了验证交通信息共享技术应用的有效性，缓解一站加油或充电车辆集群的问题，提出了一种基于多服务器多排队系统的主干道多站元胞自动机模型。基于不同信息共享模式的数值实验表明:元胞自动机模型可以模拟车辆的目标站选择过程;通过交通信息共享的应用，可以提高能源站的效率。

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The Analysis of Traffic Energy Infrastructures Service Efficiency based on Different Information Scenarios with Cellular Automata Simulation

To confirm the validity of the application of traffic information sharing technology, which might help alleviate the cluster of the fueling or recharging vehicle at one station, a cellular automata model with multi-stations in trunk road based on the multi-server multi-queuing system was proposed in this paper. The numerical experiment based on different information sharing mode showed that: the cellular automata model could simulate the vehicle's selection process of target station; the efficiency of energy stations could be increased by the application of traffic information sharing.

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来源期刊

2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

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