期刊论文

Capacity model of road network considering the impact of the autonomous vehicles

中文

长沙理工大学学报(自然科学版)

1672-9331

2018

15

4

45-51

10.3969/j.issn.1672-9331.2018.04.007

国家自然科学基金重点资助项目(51338002).

本校为第一机构

为了研究未来无人驾驶车辆对道路网络容量的影响,将路网上的车辆分为无人驾驶车辆和普通车辆两类,根据两类车辆的不同路径选择行为,构建考虑无人驾驶车辆影响的道路网络容量双层规划模型。上层模型为满足路段容量约束条件下的最大交通需求,其中各OD之间的交通需求采用均一的增长乘子;下层模型为考虑无人驾驶车辆影响的混合路径选择行为模型,其中普通车辆以极小化个体的出行成本为目标,而无人驾驶车辆以系统最优为目标。基于迭代平衡思想设计求解双层规划的启发式算法,并通过算例验证了模型和算法的有效性和可行性。研究结果表明:（1）当无人驾驶车辆的市场渗透率较低时,无人驾驶车辆对普通车辆的...

In order to study the impact of future autonomous vehicles on the road network capacity,the vehicles on the road network were divided into two types:autonomous vehicles and ordinary vehicles.According to the different path selection behaviors of the two types of vehicles,a bi-level programming model of the road network capacity was constructed considering the influence of driverless vehicles.The upper layer model was the maximum demand under the condition of road capacity constraint.The traffic demand between different OD used a uniform growth ...