首页|平行流交叉口车道控制与信号配时组合优化

平行流交叉口车道控制与信号配时组合优化

Combined optimization of lane-based control and signal timing at parallel flow intersection

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为了提升平行流交叉口实际应用的灵活性,提出车道控制与信号配时组合优化方法,将单向、非对称双向、对称双向、三向、四向设置与布设方向组合共 16 种方案整合到优化模型中,通过修正交通冲突矩阵自动生成相位相序方案.构建混合整数线性规划模型,实现交叉口设置方案选择、车道分配和信号配时的组合优化.结果表明,在各种流量场景下,对称双向、三向、四向设置方案相较于常规交叉口分别能够提升约 20%、20%、50%的通行能力,单向、非对称双向设置方案通行能力与常规交叉口接近,说明平行流交叉口不宜采用单向、非对称双向设置.四向设置方案通行能力的提升幅度最大,最大值能达到 70.51%.对称双向和三向设置方案的通行能力提升相差不大,但三向设置在不对称流量场景中的表现优于对称双向设置.
A combined optimization method for lane control and signal timing was proposed in order to enhance the flexibility of parallel flow intersections in practical application.Sixteen configurations including one-way,asymmetric two-way,symmetric two-way,three-way,and four-way settings with directional arrangements were integrated into an optimization model,and phase sequences were automatically generated by modifying the traffic conflict matrix.A mixed integer linear programming model was developed to optimize the intersection setting selection,lane allocation,and signal timing in combination.Results show that the symmetric two-way,three-way,and four-way settings increase traffic capacity by approximately 20%,20%,and 50%respectively compared to conventional intersections under various traffic scenarios.The capacities of the one-way and asymmetric two-way settings are close to those of conventional intersections,indicating that one-way and asymmetric two-way settings are not suitable for parallel flow intersections.The four-way setting exhibits the largest increase in capacity,with a maximum improvement of 70.51%.The traffic capacities of symmetric two-way and three-way settings are similar,while the three-way setting performs better in asymmetric traffic scenarios than the symmetric two-way setting.

traffic engineeringcontrol methodmixed integer linear programmingparallel flow intersectiondisplaced left-turn

宋浪、王健、杨璐、安实

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哈尔滨工业大学交通科学与工程学院,黑龙江哈尔滨 150090

国家山区公路工程技术研究中心,重庆 400067

哈尔滨工业大学经济与管理学院,黑龙江哈尔滨 150001

交通工程 控制方法 混合整数线性规划 平行流交叉口 移位左转

重庆市自然科学基金资助项目重庆市技术创新与应用发展专项重点资助项目国家自然科学基金重大研究计划资助项目

CSTB2023NSCQ-MSX0387CSTB2022TIAD-KPX010491846301

2024

10.3785/j.issn.1008-973X.2024.08.012

浙江大学学报(工学版)
浙江大学

浙江大学学报(工学版)

CSTPCD北大核心
影响因子：0.625
ISSN：1008-973X
年,卷(期)：2024.58(8)
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