摘要
鉴于交通运输行业在国民经济中的核心地位,确保运输效能的高效与适应性至关重要。为此,深入探讨了新能源车辆在各类场景下的应用适宜性,特别针对其在特殊条件下的应急保障作用进行了详细分析,提出了“宜氢则氢、宜电则电”的多元化动力源匹配策略。为了实现这一策略,基于BP神经网络构建了优化车辆配置模型,旨在实现应急保障运力与区域内车辆需求的最优匹配。这一方法不仅考虑了车辆的动力源选择,还融入了区域特点、经济发展水平和环境条件等多维度因素,从而形成了一套科学、合理的多动力源营运车辆区域适宜性配置方案。
Du to the core position of transportation industry in the national economy,ensuring the efficiency and adaptability of transportation is crucial.Therefore,the in-depth exploration was conducted on the suitability of new energy vehicles in various scenarios,especially the detailed analysis on emergency support role under special conditions.The diversified power source matching strategy of‘hydrogen where suitable,electricity where suitable’was proposed.To implement this strategy,the optimized vehicle configuration model was constructed based on BP neural network,aiming to achieve the optimal match between emergency support capacity and regional vehicle demand.The method not only considers the power source selection for vehicles,but also incorporates the multidimensional factors(e.g.,regional characteristics,economic development levels,and environmental conditions),thus forming the scientific and reasonable regional suitability configuration plan for multi-power source operating vehicles.
作者
赵洪雪
姜森豪
周炜
马彬
李枭
ZHAO Hong-xue;JIANG Sen-hao;ZHOU Wei;MA Bin;LI Xiao(Research Institute of Highway,Ministry of Transport,Beijing 100088,China;Key Laboratory of Transport Industry for Vehicle Operation Safety Technology,Research Institute of Highway,Ministry of Transport,Beijing 100088,China;Beijing Information Science and Technology University,Beijing 100192,China)
出处
《公路交通科技》
CAS
CSCD
北大核心
2023年第S02期315-322,共8页
Journal of Highway and Transportation Research and Development
基金
交通运输部公路科学研究所(院)交通强国试点项目(2021-C321)
运输车辆运行安全技术交通运输行业重点实验室开放基金课题(KFKT2022-06)
关键词
交通工程
运力匹配
BP神经网络
应急保障运力
多动力源
traffic engineering
transport capacity matching
BP neural network
emergency support transport capacity
multiple power sources