A fair and effective driver rating system for developing regions

2017 9th International Conference on Communication Systems and Networks (COMSNETS) Pub Date : 1900-01-01 DOI:10.1109/COMSNETS.2017.7945432

Munshi Yusuf Alam, S. Saurav, Ratna Mandal, Sujoy Saha, S. Nandi, Sandip Chakraborty

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引用次数: 4

Abstract

Rash driving is one of the primary reasons for road fatalities. However, the existing literature seldom talks about precise quantitative measures to assess behaviors like rash driving during traffic analytics. Moreover, the subjective factors like broken road patches, high peak bumps (or some time known as speed breakers in some countries), poor night illumination etc. have not been taken into consideration in the existing driver rating systems. This paper develops a methodology for fair and effective driver rating using a dynamic time warp (DTW) method, based on their behavioral observations as captured by smartphone sensors (GPS, accelerometer, light sensor etc.). The value of the correlation coefficient between the system rating and a manual rating is found to be more than 70% for our proposed system, SafeDrive, when tested extensively for bumps along a 7km city road patch. The system can be extended to provide a comprehensive driving score by including other road features like pot holes, sharp turns etc., in addition to bumps.

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建立公平有效的发展中地区司机评分制度

鲁莽驾驶是造成交通事故死亡的主要原因之一。然而，现有文献很少讨论在交通分析中评估鲁莽驾驶等行为的精确定量措施。此外，在现有的驾驶员评级系统中，主观因素，如破碎的道路斑块、高峰颠簸(在某些国家有时被称为减速带)、夜间照明差等并没有被考虑在内。本文基于智能手机传感器(GPS，加速度计，光传感器等)捕获的驾驶员行为观察，开发了一种基于动态时间扭曲(DTW)方法的公平有效驾驶员评级方法。对我们提出的系统SafeDrive进行了沿着7公里城市道路补丁的颠簸测试，发现系统评级与手动评级之间的相关系数值超过70%。除了颠簸之外，该系统还可以通过包括坑洞、急转弯等其他道路特征来扩展，以提供全面的驾驶评分。

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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2017 9th International Conference on Communication Systems and Networks (COMSNETS)

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