研究基于跟驰模型的交通流混沌问题。
The chaos of the traffic flow based on the Car following model is studied.
分析了传统车辆跟驰模型的局限性，指出了线性模型推导过程中的缺陷。
This paper analyzes the traditional car following models, indicates that there is a blemish in the reasoning of the linear car following model.
由于实际道路上驾驶员信息的获取困难，建立的车辆跟驰模型难以标定或验证。
Because of the difficult on collection of open road information, car-following models couldn't not be calibrated or validated easily.
方法对现有比较成功的微观模型、元胞自动机模型和跟驰模型进行分析、比较，指出其不足和优点。
Methods Analyze and compare the most successful models, cell automaton and car-following model, and point out their advantage and shortcomings.
针对我国混合交通的特点，提出一个新的车辆行为模型，模型由跟驰模型、邻车影响模型和换道模型共同组成。
The influence of the length and the velocy of vehicles on the mixed traffic flow in one-lane highway;
车辆跟驰模型中的驾驶行为是一个复杂的推理、决策、执行过程，在知识表达和推理机制上存在模糊性和随机性。
Driving decision in the car following model is a complex process of reasoning, deciding and executing. There are a lot of vagueness and randomness in knowledge description and reasoning mechanism.
车辆跟驰模型是微观交通流模拟的一个基本模型，用来分析和描述在无法超车的同一车道上一辆车(驾驶员)跟随另一辆车的方式。
Car following model is a basic model in traffic microscopic simulation, using to analyze and describe the way one vehicle (driver) follows another in a single lane of traffic.
论证了该模型与车辆跟驰理论是统一的。
Last, it proves the congruity between the kinetic model and the car-following theory.
基于经典的跟驰理论，建立理想条件下车辆稳定跟驰行驶时的车头间距模型。
On the basis of the classic car-following theory, under the ideal conditions, a headway model is put up in the paper.
考虑双前车信息对跟驰车辆的影响，建立了改进的新的微观双车跟车模型。
With the consideration of effect of the two front vehicles information to the following car, a new microscopic two cars car-following model was improved.
然后，本论文运用最优化和跟驰理论确定了车辆稳定跟驰行驶速度与车辆在该状态下的车头间距和行驶时间之间的关系，并通过该关系建立了路网临界速度一模型；
The theory of optimization and car-following are adopted to determine the relationship between traveling speed and headway in this dissertation, and a model about critical speed is made.
然后，本论文运用最优化和跟驰理论确定了车辆稳定跟驰行驶速度与车辆在该状态下的车头间距和行驶时间之间的关系，并通过该关系建立了路网临界速度一模型；
The theory of optimization and car-following are adopted to determine the relationship between traveling speed and headway in this dissertation, and a model about critical speed is made.
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