1) bicycle-following
自行车跟驰
2) car-following
车辆跟驰
1.
Car-following Behavioral Time-serial Data Collection in Real Traffic Flow;
车辆跟驰时间序列实测数据采集方法研究
2.
Development of a Car-following Model Based on Artificial Neural Networks;
基于神经网络的车辆跟驰模型的建立
3.
Interval Analysis Method for Safety Distance of Car-following
车辆跟驰安全距离的区间分析方法
3) car following
车辆跟驰
1.
The car following model is a basic model for traffic simulation.
车辆跟驰模型是微观交通流仿真的一个基本模型,它是构成许多重要研究领域的基石。
2.
And in particular,this paper proposes that it is important to take into full consideration the influence of digital driving behavior on car following modeling and simulation in intelligent traffic flow research, so as to correctly reveal the.
着重从驾驶行为分析的角度,对车辆跟驰模型中与人的因素有关的GM模型、CA模型、线性Helly模型、AP模型以及基于模糊逻辑和神经网络的车辆跟驰模型进行了详细的评述,提出了未来智能交通流中应充分考虑到数字驾驶行为对智能车辆跟驰建模与仿真的影响,以期正确地揭示出交通流的特性和本质。
3.
A car following decision support model is developed using the artificial neural networks(ANN).
应用神经网络模拟无车道变换行为的单一车道车辆跟驰行产 (加速、减速、不动作 ) 神经网络的自学习特点 ,使得神经网络模型把驾驶员周围的各种信息并行结合起为产生可靠的模拟结
4) car-following
跟驰车流
5) following behavior
跟驰行为
1.
Bicycle following behavior at signalized intersection;
信号交叉口处自行车交通流的跟驰行为
6) Steadily car-following
跟驰行驶
补充资料：车驰
1.驾车奔驰。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条