基于决策优化模型的驾驶行为建模方法

为了能在微观交通仿真模型中对复杂交通环境下的驾驶行为进行统一的数学描述，提出一个基于决策优化模型的驾驶行为建模方法.通过扩展Helly跟车模型并将其等式约束变换为不等式约束，建立驾驶员的可行加速度决策空间，再依次求解轨迹最优目标和速度最优目标，得到一个满意的横纵加速度.该建模方法将跟车、换道、超车、穿插、制动等驾驶行为统一地在驾驶行为决策优化模型进行描述中，模型结构灵活，模型参数校正方法简单明了，适用于交通环境复杂的混合交通流微观仿真建模.

Describing driving behaviors based on decision optimization model

A new method of modelling driving behaviors based on a decision optimization model was proposed for formulating uniformly driving behaviors in complex traffic scenarios in a microscopic traffic simulation model Helly's car-following model was extended and transformed into inequality constraints,so as to establish the feasible acceleration decision space.Satisfactory lateral and longitudinal accelerations were obtained by searching the optimal track and the optimal speed respectively in the decision space.In this way,many kinds of driver behaviors,for example car-following,lane-changing,overtaking and braking,can be described with this driving model uniformly.The structure of this driving model is flexible and the calibration of model parameters is straightforward,so it is suitable for microscopic simulation modelling of mixed traffic in complex traffic scenarios.