测光模式
解算器
分段线性函数
细胞传递模型
控制变量
变量(数学)
线性规划
速度限制
数学优化
最优控制
整数规划
交通拥挤
计算机科学
控制(管理)
工程类
模拟
控制理论(社会学)
数学
运输工程
机械工程
机器学习
数学分析
人工智能
几何学
作者
Ying Li,Andy H.F. Chow,Daniela Lichtler Cassel
摘要
Ramp metering, variable speed limits, and hard-shoulder running have been used for managing motorway traffic congestion. The majority of the research in the area of ramp metering strategies is concentrated on local traffic responsive algorithms, such as ALINEA. Recently, researchers have studied the effects of variable speed limits and hard-shoulder running applied on motorways. This paper presents an optimization framework for all these control strategies. The framework was developed on the basis of a macroscopic cell transmission model (CTM), which described traffic dynamics through a piecewise linear fundamental diagram. With the piecewise linear nature of the CTM, the authors formulated optimal control problems that would seek the optimal control policies for minimizing total delays on motorways. The optimal control problems were formulated as linear programming or mixed integer linear programming and were solved by using the IBM CPLEX solver. The performances of different control strategies were tested on real scenarios on the M25 motorway in England, where significant improvements were observed with proper implementation.
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