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可持续的道路网络设计考虑燃料电池车辆

¹Section of Foreign Languages, Department of Basic Studies, Criminal Investigation Police University of China, Shenyang, 110854, China. 13079286059@163.com.

Scientific reports

|December 11, 2023

概括

这项研究优化了燃料电池车辆 (HFCV) 的可持续运输网络. 它提出了一个框架,以平衡网络设计与混合流量流,促进更清洁的运输.

科学领域:

环境科学与工程环境科学与工程
运输工程运输工程
可持续能源系统可持续能源系统

背景情况:

对环境污染和能源短缺的日益担忧正在推动新能源汽车的采用.
燃料电池汽车 (HFCV) 提供了接近零碳排放的解决方案,这对于可持续的运输发展至关重要.
将HFCV集成到现有的运输网络中,带来了复杂的设计和交通管理挑战.

研究的目的:

开发一个可持续的运输网络设计框架,包括燃料电池汽车 (HFCV).
为了解决混合交通流的复杂性,涉及HFCV和常规燃料车辆.
优化网络设计,考虑多个可持续性目标.

主要方法:

问题作为一个双层多目标编程模型的制定.
集成粒子集群优化 (PSO) 进行上层网络设计优化.
应用弗兰克-沃尔夫 (FW) 算法用于较低级别的混合流量分配.

主要成果:

拟议的综合PSO-FW框架有效地解决了多目标可持续网络设计问题.
证明了在考虑HFCV集成的情况下确定最佳网络设计方案的能力.
通过两个数值实验验验证模型的有效性和效率.

结论:

开发的框架为设计HFCV的可持续运输网络提供了一个强有力的方法.
该研究强调了高碳化汽车在运输中显著减少环境影响的潜力.
集成的PSO-FW算法为复杂的流量流和网络设计问题提供了有效的解决方案.

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