Optimized Road Status Level Grading Method in Driving Style Evaluation for Pay-How-You-Drive Commercial Vehicle Insurance

Wei Nai, Cong Sheng, Yuhan Liu, Y. Xing, Zan Yang
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Abstract

The premium actuary scheme in pay-how-you-drive (PHYD), which is a promising form of commercial vehicle insurance product, can comprehensively evaluate driving risk of each customer by analyzing data collected from on-board diagnosis (OBD) module, and can give a more objective result than traditional vehicle insurance which fixes the premium only based on past violations and claim records. Such premium actuary process depends mostly on driving risk, which may be affected by driving behavior as well as driving environment, Different geographical condition as well as road status may change the driving habits of each driver to a great extent, thus, it is of great significance to understand the influence of driving environment on drivers and to grade the road status levels. Till now, even if road status evaluation and grading issue have been widely studied by scholars, their purposes to do such studies are rarely based on the application of PHYD commercial vehicle insurance product. In this paper, driving backgrounds has been taken into consideration, and an optimized road status level grading method has been built, which can serve as a correctional tools in the premium actuary process for PHYD commercial vehicle insurance product.
按驾付费商业车辆保险驾驶风格评价中道路状态等级分级优化方法
保费精算师方案通过分析车载诊断(OBD)模块收集的数据,对每个客户的驾驶风险进行综合评估,比传统车险仅根据过往违规和理赔记录确定保费的结果更加客观,是一种很有发展前景的商业车险产品形式。这种保费精算过程主要取决于驾驶风险,驾驶风险受驾驶行为和驾驶环境的影响,不同的地理条件和道路状况可能会在很大程度上改变每个驾驶员的驾驶习惯,因此了解驾驶环境对驾驶员的影响并对道路状况进行分级具有重要意义。到目前为止,即使学者们对道路状态评价和分级问题进行了广泛的研究,但其研究目的很少是基于PHYD商用车保险产品的应用。本文在考虑驾驶背景的基础上,构建了一种优化的道路状态等级分级方法,可作为PHYD商业车险产品保费精算过程中的校正工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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