Benefit-cost Analysis-based Modeling of the Self-driving Freight Line

Dianjun Fang, Zhuoyuan Zheng, Hongyan Jiang, Xiaoxia Ren, Wen-Biaug Yang
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Abstract

China has a massive road freight volume and cargo turnover forming a vast market, but some problems need to be solved urgently. With the rapid development of self-driving systems, the establishment of dedicated freight lines based on self-driving trucks may bring many advantages. An analysis model integrating multiple indexes, including essential operation, time, environment and safety was proposed using the benefit-cost analysis (BCA) method. A case study was carried out according to the actual data of the Beijing-Shanghai Expressway, comparing the diesel-driven and electric-driven self-driving freight lines with the conventional transportation scheme. The analysis result indicates that the diesel-driven self-driving freight line has obvious benefits compared with the conventional scheme. Still, the electric-driven self-driving freight line reflects increased cost on the contrary, which is limited by the current battery technology level.
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基于效益-成本分析的自驾车货运线路建模
中国公路货运量大,货邮周转量大,市场广阔,但也存在一些亟待解决的问题。随着自动驾驶系统的快速发展,建立基于自动驾驶卡车的货运专线可能会带来许多优势。运用效益-成本分析法(BCA),提出了综合必要操作、时间、环境和安全等多个指标的分析模型。根据京沪高速公路的实际数据进行了案例研究,比较了柴油驱动和电动驱动的自动驾驶货运线路与常规运输方案。分析结果表明,与常规方案相比,柴油驱动的自动货运线路具有明显的效益。但是,由于目前的电池技术水平,电动自动驾驶货运线的成本反而有所增加。
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