为提升干线交通运行效率并减少有轨电车交叉口停车次数，建立了干线分段绿波协调优化模型，来实现有轨电车与社会车辆的多模式交通协调控制。首先，确定干线各交叉口的信号周期，根据信号周期对交叉口进行聚类，并协调交叉口信号周期与有轨电车发车间隔之间的关系，分类讨论站点位置对有轨电车绿波协调的影响；然后，针对社会车辆分段绿波系统和有轨电车全线绿波系统分别建立约束条件，避免有轨电车在交叉口处停车，并以社会车辆可变绿波带宽最大为优化目标建立混合整数线性规划模型，来对有轨电车和社会车辆多模式干线绿波系统进行协调优化；最后，以南京市有轨电车麒麟线为例对模型进行对比分析。算例结果表明：文中提出的模型协调优化了干线分段绿波内部及带间的信号控制方案，实现了有轨电车在交叉口的优先控制和社会车辆通行效益的兼顾。VISSIM仿真结果显示：与现行的信号控制方案相比，采用文中模型可使各交叉口车辆延误降低20.89%~35.24%；与仅考虑社会车辆的MULTIBAND模型相比，文中提出的模型减少了6.94%的人均延误，提高了交叉口的总体运行效率。

In order to improve the traffic efficiency and reduce the stops of tram in intersections, this paper proposes a coordinated signal control optimized method to realize the multimodal segmented green wave control of tram and general traffic. First of all, the signal cycle of each intersection along the arterial is determined. Based on the cycle length, the intersections are clustered and coordinated with the tram departure interval, and the influence of the station location on the tram green wave coordination is discussed. Secondly, constraints are established for general traffic green wave system and tram green wave system to avoid the tram stopping at the intersection. A mixed integer linear planning model is established based on the goal of optimizing the maximum variable green wave bandwidth of general traffic, so as to coordinate and optimize the multi-mode trunk green wave system of trams and general traffic. Finally, a comparative analysis is carried out by using the Nanjing Qilin tram line as a case study. The results indicate that this model can optimize the signal control scheme of arterial segmented green wave which guarantees the passive priority of tram in intersections and running efficiency of general traffic. VISSIM simulation results indicate that, as compared the current signal control scheme, the proposed model can reduce the vehicle delay of each intersection by 20.89%~35.24%; and that, as compared with the MULTIBAND model, this model reduced the delay of person by 6.94%, which improves the overall operation efficiency of the intersection.