A Simulation of Car-following Driving Based on Coordinated Model
The different car-following indexes in different traffic flow states are extracted first. And then a model is advanced to imitate the whole course from collecting information, making decisions to controlling the states of vehicles by using a new method named Information Fusion. One neuron is set, as a perception, in order to show the car-following behavior is discontinues. And different decision-constrain in different traffic flow is set in order to reveal the difference of drivers decision. The results in off-line exam show that the model could reflect the current of vehicles states, and its outputs are accurate. So the ideal and method used in the model is feasible.
Yi-hu Wu Dan Yu Xiaomei Yin
School of Traffic Transportation Engineering, Changsha University of Science and Technology, Changsha, China 410076
国际会议
长沙
英文
1510-1515
2008-10-20（万方平台首次上网日期，不代表论文的发表时间）