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首页> 外文期刊>Journal of Advanced Transportation >Modeling Bus Drivers' Aberrant Behaviors and the Influences on Fuel and Maintenance Costs
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Modeling Bus Drivers' Aberrant Behaviors and the Influences on Fuel and Maintenance Costs

机译：建模驾驶员的异常行为及其对燃油和维护成本的影响

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摘要

Bus drivers' aberrant behaviors such as errors and violations might bring about extra fuel consumption and mechanic abrading. To investigate how the aberrant behaviors affect the fuel and maintenance costs, seven indexes are proposed and their corresponding threshold values are determined through the field experiments. Nearly six months of en route data are collected from an intercity bus route and the raw data are converted into the proposed index values by a database management system. A collinearity test is performed and three different specifications of simultaneous-equation regression models are attempted. The results show that abnormal engine rotation, unstable speed gradient, remarkable jerk, and speeding are the four independent indexes which can significantly explain the effects of bus drivers' aberrant behaviors on fuel and maintenance costs. Based on the cost importance of these four indexes, the drivers are further clustered into five categories and some practical applications are addressed.
机译：公交车司机的错误行为，例如错误和违规，可能会导致额外的油耗和机械磨损。为了研究异常行为如何影响燃料和维护成本，提出了七个指标，并通过现场实验确定了它们的相应阈值。从城市间公交路线中收集了近六个月的途中数据，原始数据由数据库管理系统转换为建议的索引值。进行共线性测试，并尝试三种不同规格的同时方程回归模型。结果表明，异常的发动机旋转，不稳定的速度梯度，明显的颠簸和超速是四个独立的指标，可以有效地解释公交车司机的异常行为对燃油和维护成本的影响。基于这四个索引的成本重要性，将驱动程序进一步分为五个类别，并讨论了一些实际应用。

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