摘要
针对城市快速路控制技术中匝道调节率优化问题,采用宏观动态交通流模型预测实际路网中交通流变化过程,在该模型基础上构建入口匝道最优控制问题,给出基于遗传算法和序列二次规划的混合算法,并对该问题求解。算例结果表明,在最优控制下仿真路段中常发性拥堵问题得到改善,所提出算法能得到较高精度调节率。
When it comes to the problem of how to control the ramp in freeway efficiency. We adopt macroscop- ic dynamic traffic flow model to predict the change process of traffic flow in actual road network. And then we estab- lished a ramp optimal control problem on the basis of the first step. Finally to solve this problem more effective we employed the hybrid optimization algorithm of GA and SQP. as the result shows not only the congestion problem has been improved greatly in the simulation road but also the algorithm works efficiently. Thus high accuracy adjustment rate could direct got by this algorithm adopted.
出处
《电子科技》
2017年第2期49-53,共5页
Electronic Science and Technology
基金
国家自然科学基金资助项目(51008195)
上海市自然科学基金资助项目(15ZR1428100)
上海市一流学科基金资助项目(S1201YLXK)
关键词
智能交通
最优控制
混合算法
城市快速路
宏观动态交通流模型
intelligent transportation
optimal control
hybrid optimization algorithm
expressway
macroscopicdynamic traffic flow model
