论文标题
模拟人群和自动驾驶汽车
Simulating Crowds and Autonomous Vehicles
论文作者
论文摘要
了解人们如何看待和与自动驾驶汽车互动对于指导未来的研究方向很重要。一种有助于理解的方式是通过模拟涉及人和自动驾驶汽车的虚拟环境。我们提出了一个模拟模型，该模型将人和自动驾驶汽车纳入共享的城市空间。该模型能够实时模拟数千人和车辆。这是通过使用GPU硬件以及针对GPU上大量问题优化的新型线性程序求解器来实现的。该模型的速度比等效的多核CPU模型快30倍。
Understanding how people view and interact with autonomous vehicles is important to guide future directions of research. One such way of aiding understanding is through simulations of virtual environments involving people and autonomous vehicles. We present a simulation model that incorporates people and autonomous vehicles in a shared urban space. The model is able to simulate many thousands of people and vehicles in real-time. This is achieved by use of GPU hardware, and through a novel linear program solver optimized for large numbers of problems on the GPU. The model is up to 30 times faster than the equivalent multi-core CPU model.
