市内电动公交道路交通系统规划框架

Yogesh Pandey, Praveen Kumar Agrawal, Nikhil Gupta, K.R. Niazi, Anil Swarnkar
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引用次数: 0

摘要

汽油汽车运输对环境污染起着至关重要的作用,最终导致城市地区出现严重的健康问题。在不久的将来,大规模部署个性化电动汽车的范围可以向这些问题倾斜,但会使当地配电网(LDG)不堪重负,而且这些实体正在生产绿色能源。在这种情况下,电动公共汽车道路交通系统(EBRTS)可以被视为一种有效且前景广阔的方式,尽管它需要大量资金。考虑到电力公司和投资者/运输商之间的利益冲突,通过开发一个量身定制的规划模型,包括友好的解决方案,可以成功部署电动公交道路运输系统。本文提出了一个城市内电动公交道路运输系统的规划模型,尤其适用于大都市,以获得有利于电力公司和私人参与者的切实利益。所提出的框架在空间、技术和财务限制条件下设想了公交车队充电模型和财务模型,但通过从投资者角度提供所有必要信息的暂定解决方案,维护了电力公司和投资者的利益。该方法无需优化,因为现实的约束条件本质上采用了缩小搜索空间的方法。对一个真实公共交通系统的模拟结果表明,所提出的方法简单、合理、适用且灵活。
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A planning framework for intra-city electric bus road transportation systems
Gasoline-based vehicle transportation plays a crucial role in environmental pollution, which eventually leads to serious health issues in urban areas. The scope of large-scale deployment of personalized electric vehicles in the near future can lean towards such issues but can overburden local distribution grids (LDGs), and the entities are producing green energy. In this context, an electric bus road transportation system (EBRTS) can be seen as an effective and promising way, although it is capital-intensive. EBRTs can be successfully deployed by developing a well-tailored planning model that encompasses amicable solutions while considering the conflicting interests of electric utilities and investors/transporters.
This paper proposes a planning model for intra-city EBRTS, especially for metropolitan cities, to extract tangible benefits in favour of electric utilities and private players. The proposed framework envisages a bus fleet charging model and financial model within the spatial, technical, and financial constraints yet preserves the interests of electric utilities and investors by providing tentative solutions with all information necessary from the investor’s perspective. The methodology is free from optimization as the realistic constraints inherently employ search space reduction. The simulation results on a real public transportation system reveal the proposed methodology’s simplicity, rationality, applicability, and flexibility.
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