The autonomous vehicular technology is approaching a level of maturity that gives confidence to end-users in many cities around the world for their usage so as to share the roads with manual vehicles. Autonomous and manual vehicles have different capabilities which may result in surprising safety, security, and resilience impacts when mixed together as a part of the intelligent transportation system (ITS). For example, autonomous vehicles can communicate electronically with one another, make fast decisions and associated actuation, and generally act deterministically. In contrast, manual vehicles cannot communicate electronically, are limited by the capabilities and slow reaction of human drivers, and may show some uncertainty and even irrationality in behavior due to the involvement of humans. At the same time, humans can react properly to more complex situations than autonomous vehicles. Unlike manual vehicles, the security of computing and communications of autonomous vehicles can be compromised thereby precluding them from achieving individual or group goals.

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安全智能交通系统深度学习模型特刊客座编辑介绍

自动驾驶汽车技术正接近成熟水平，这让全球许多城市的最终用户对他们的使用充满信心，以便与手动车辆共享道路。自动驾驶和手动车辆具有不同的功能，当它们混合在一起作为智能交通系统 (ITS) 的一部分时，可能会产生惊人的安全性、安全性和弹性影响。例如，自动驾驶汽车可以相互进行电子通信，做出快速决策和相关驱动，并且通常可以确定性地行动。相比之下，手动车辆无法通过电子方式进行通信，受限于人类驾驶员的能力和反应迟缓，并且可能由于人类的参与而在行为上表现出一些不确定性甚至不合理性。同时，与自动驾驶汽车相比，人类可以对更复杂的情况做出正确的反应。与手动车辆不同，自动驾驶车辆的计算和通信安全可能会受到影响，从而阻止它们实现个人或团体目标。