IoT Technology Leads to Lower Car Insurance Premiums and Safer Roads

2023-05-10 21:49:48
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Illustration: © IoT For All

The car insurance industry has traditionally relied on calculating risk and settling claims. The extent to which insurance companies use risk-based pricing can vary significantly but, generally speaking, there are no limits on how much premiums can rise based on an insurer’s perceived risks, such as a driver’s claim history, the driver’s age, the vehicle’s value, and even its sturdiness and speed.

The Internet of Things (IoT) and data sources have given rise to new forms of car insurance, which can provide more personalized pricing based on an individual’s actual driving behavior. In these models, drivers who demonstrate safer driving habits are rewarded with lower premiums, while those who engage in riskier behavior may see their premiums go up.

“The Internet of Things (IoT) and data sources have given rise to new forms of car insurance, which can provide more personalized pricing based on an individual’s actual driving behavior.”

-melita.io

The insurance industry is evolving rapidly in response to these new technologies. IoT technology and telematics have transformed the way car insurers assess risk, particularly for young and inexperienced drivers who have traditionally been considered high risk.

By using sensors and other IoT devices installed in a customer’s car, insurance companies can collect and analyze real-time data on driving behavior, such as speed, acceleration, braking, and cornering. This data can be used to create a more accurate profile of the driver’s risk level and to tailor insurance premiums accordingly.

For young and inexperienced drivers who may have limited driving histories, telematics can provide a more accurate picture of their driving habits than relying solely on demographics or historical records. This can help to reduce the unfair discrimination that young drivers have often faced in the past.

In addition, this IoT solution can also encourage safe driving behavior by providing feedback and coaching to drivers based on their performance data. This can lead to fewer accidents and claims, which in turn can lead to lower premiums for drivers who demonstrate safe driving habits. 

In addition, the psychological consequences of knowing that one’s driving is being monitored can indeed lead to better driving habits. This is often referred to as the “feedback loop” effect, where drivers who receive real-time feedback on their driving behavior are more likely to be aware of their actions on the road and adjust their behavior accordingly.

While the sensors ensure a driver’s privacy by not recording geo-location, they record other pertinent data such as the car’s speed, distance, acceleration, and braking speed. All this is transmitted via a LoRaWAN or Narrowband (NB-IoT) network in real-time to the insurance.

Overall, IoT technology has opened new possibilities for car insurance companies to assess risk and provide more personalized and fair insurance products to customers, including young and inexperienced drivers. Moreover, the use of telematics data in determining fault in accidents can be extremely beneficial for insurance companies, as it provides objective and accurate data that can help to settle claims more efficiently and effectively.

Fleet managers have indeed been among the early testers of this IoT technology, as it provides them with a range of benefits beyond just insurance savings. It can also help them to optimize routes, monitor driver behavior, and improve overall fleet efficiency.

The insurance industry has traditionally been viewed as conservative and slow to adapt to new technologies. However, the advent of IoT and telematics has provided significant incentives for the industry to embrace disruption and develop more innovative and personalized insurance products for customers.

Overall, the use of IoT and telematics technology in the car insurance industry has the potential to improve road safety, reduce insurance costs, and provide more personalized and fair insurance products for customers.

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  • Insurance
  • Sensors
  • Transportation and Mobility

  • Insurance
  • Sensors
  • Transportation and Mobility

参考译文
物联网技术推动汽车保险费用降低与道路更安全
图示:© IoT For All --> 汽车保险行业历来依赖于风险评估和理赔处理。保险公司在基于风险定价方面的使用程度可能差异极大,但总体而言,保险公司可以根据其对风险的判断(如驾驶员的理赔历史、年龄、车辆价值,甚至车辆的坚固性和速度)自由提高保费,没有上限。物联网(IoT)和数据来源催生了新型汽车保险产品,能够根据个人的实际驾驶行为提供更加个性化的定价。在这些模式下,驾驶行为更安全的驾驶员可以获得更低的保费,而行为更危险的驾驶员则可能看到保费上涨。“物联网(IoT)和数据来源催生了新型汽车保险产品,能够根据个人的实际驾驶行为提供更加个性化的定价。” — melita.io面对这些新技术,保险行业正在迅速演变。物联网技术与远程信息处理技术正在改变汽车保险公司评估风险的方式,特别是对于传统上被认为是高风险的年轻和缺乏经验的驾驶员。通过在客户车辆中安装传感器和其他物联网设备,保险公司可以收集并分析驾驶行为的实时数据,如速度、加速、刹车和转弯情况。这些数据可用于更准确地评估驾驶员的风险等级,并据此量身定制保险费用。对于驾驶历史有限的年轻和无经验驾驶员而言,远程信息处理技术可以提供比单纯依赖人口统计信息或历史记录更准确的驾驶行为图谱。这有助于减少过去对年轻驾驶员的不公平歧视。此外,这种物联网解决方案还可以通过根据驾驶员的表现数据提供反馈和指导,鼓励安全驾驶行为。这有助于减少事故和理赔,从而为表现出安全驾驶习惯的驾驶员带来更低的保费。此外,知道自己驾驶行为正在被监控的心理影响,确实有助于改善驾驶习惯。这通常被称为“反馈循环”效应,即在驾驶过程中获得实时反馈的驾驶员更容易意识到自己的行为并做出相应调整。虽然这些传感器不会记录地理位置以确保驾驶员的隐私,但它们会记录与驾驶相关的重要数据,如汽车的速度、行驶距离、加速度和刹车速度。所有这些数据都会通过LoRaWAN或窄带物联网(NB-IoT)网络实时传输到保险公司。总的来说,物联网技术为汽车保险公司提供了新的可能性,使他们能够更准确地评估风险,并为包括年轻和无经验驾驶员在内的客户提供更加个性化和公平的保险产品。此外,将远程信息处理数据用于事故责任判定,对保险公司来说也极具价值,因为这些数据可以提供客观且准确的信息,有助于更高效、更有效地处理理赔。车队管理者实际上也是这项物联网技术的早期测试者,因为它不仅有助于节省保险费用,还能帮助他们优化行驶路线、监测驾驶员行为,并提升车队整体效率。保险行业历来被视为保守且适应新技术的速度较慢。然而,物联网和远程信息处理技术的出现,为行业带来了巨大的变革动力,促使保险公司拥抱创新,为客户提供更加新颖且个性化的保险产品。总体而言,物联网和远程信息处理技术在汽车保险行业的应用,有潜力提升道路安全性、降低保险费用,并为客户带来更加个性化和公平的保险产品。推文分享 邮件分享 保险 传感器 交通与移动性 --> 保险 传感器 交通与移动性
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