A traffic flux maximization method and system to control traffic flow by combining classical computing machine learning to predict traffic flux minimization before its occurrence, with quantum annealing to optimize future positions of vehicles. Vehicles are redirected to minimize the travel time for each vehicle, taking into account other vehicles in the road network.
一种交通流通量最大化方法和系统,通过结合经典计算机器学习与量子退火来控制交通流量,其中,经典计算机器学习用于在交通流通量最小化发生之前预测到它,并且量子退火用于优化车辆的未来位置。考虑到道路网络中的其他车辆,车辆被重定向以最小化每个车辆的行驶时间。
System and method for predicting and maximizing traffic flow
用于预测和最大化交通流量的系统和方法
2020-08-21
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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