澳大利亚的老龄化人口使老年驾驶员的问题更加焦点。到2030年，大约四分之一的驾驶员将超过65岁。另一方面，交通状况变得越来越复杂。并非所有年长的驾驶员都不安全，统计数据并不能反映个人的驾驶能力。尽管全世界都非常强调老年人尽可能长时间保持其流动性，但面临的挑战是开发适当的评估方法，以识别那些面临较高道路崩溃风险的老年驾驶员，并尽早提供干预措施。

仅年龄与老年驾驶员的车道维护性能没有显着相关

老年驾驶行为的跨学科研究，使用心理形式信息方法，表明仅年龄与老年驾驶员的车道维护性能没有显着相关。相反，老年驾驶员的认知能力，尤其是视觉关注和执行功能，是其车轮后的车辆控制能力的良好预测指标。

更好地了解老年驾驶员在路上的行为

This study examined older drivers’ mobility and behavior through comprehensive measurements of driver-vehicle-environment interaction and investigated the associations between driving behavior and cognitive functions. Data were collected and analysed for 50 older drivers using eye tracking, global navigation satellite system (GNSS) tracking, and a geographic information system (GIS). Results showed that poor selective attention, spatial ability and executive function in older drivers adversely affect lane keeping, visual search and coordination. Visual-motor coordination measure敏感有效for driving assessment in older drivers.

视觉运动协调措施对于老年驾驶员的驾驶评估有效

We developed models, such as the visual-motor coordination model, which tracks how eye movements change and move in relation to vehicle motor movements. The idea was to understand how motor movements may relate to drivers’ cognitive perception, including how quickly perception can lead to driving actions. Eye movements can be geocoded, while a GNSS can be used to obtain precise car movements to understand each minorchange in a car’s positioning as eye movement change occurs。In fact, for older drivers, differences between car and eye movements have been more noticeable, where研究表明右转交叉路口和回旋处的出口使较旧的驱动因素在感知和在操纵汽车中反应能力之间有更大的困难。

正在调查的视觉协调能力

The psycho-geoinformatics approach provided a more detailed image of older drivers than many other studies. Particularly the measurement of visual-motor coordination is new in driving safety research. The impact of specific cognitive abilities on driving behavior shows that effects are most noticeable in visual-spatial abilities and executive function condition in this group of older drivers.

驾驶场景或任务对老年驾驶员的视觉模式，车道保持和协调性能有重大影响。较差的视觉空间和视觉运动能力似乎与表现不佳的驾驶行为特别相关。强烈建议视觉运动协调是一种敏感有效的措施，可用于驾驶老年人群的驾驶评估。年长的驾驶员必须意识到自己的能力和局限性，以便他们可以通过使用防御性车道行为来增强其驾驶能力来补偿。

这种方法对自动驾驶驾驶有什么影响？

With the advent of automation of the driving task, the topic area of cognitive attention is in fact becoming even more important. When the vehicle is operating under its own control, it is arguably safe for the human in the vehicle to shift attention away from driving and the traffic situation. But some automation designs still require supervisory control by the human and readiness to take over on short notice. Therefore, some level of attention to the external road and traffic scene, and effective visual-motor coordination are still needed and critical for older people.

自主车辆更多的认知和rtificially intelligent, it needs a system that uses certain advanced cognition theories, such as situation awareness theory and visual-motor coordination theory that we have described in our paper. We believe that one of the challenges of autonomous vehicles will be to imitate human behavior in driving interactions. This probably will create a long-term application for psycho-geoinformatics approach in driving research; for example, a psycho-spatial-temporal algorithm may be developed and integrated into the driverless car system architecture.