根据车辆的时空轨迹以及对应交叉口信号相位的参数信息制定速度引导策略可以令驾驶员 更顺利地通过交叉口。为了探究引导策略对排放与能耗的具体影响，以大连市长江路和联合路交 叉口为例，利用微观交通仿真软件VISSIM 与微观排放模型MOVES的集成系统对不同流量与引 导控制下的交通排放进行仿真估计。比较绿波速度引导后的四种驾驶行为，结果表明，加速通过 交叉口会产生更高的车均能耗与排放。为了限制速度引导策略可能带来的更高排放，对加速过程 中的期望速度采用模糊控制，提出一种低排放导向的速度引导策略。分析结果表明，在中低流量 下基于模糊控制的速度引导策略能够在不影响通行效率的前提下有效地减少污染物的排放，且与 绿波速度引导策略相比，减排效果提升了3%~5%，从而论证了低排放导向的速度引导策略在节 能减排方面具有积极效果。

Taking advantage of vehicles′ spatial and temporal trajectories and corresponding signal tim⁃ ing parameters, speed guidance strategy could be provided to drivers for going through the intersection smartly. In order to explore the strategy influence on emissions and energy consumptions, the aggregated system combining traffic simulation software VISSIM and emission model MOVES, was developed to evaluate the traffic emissions under different flows and guidance control. As a case study, the intersec⁃ tion at Lianhe Road crossing Changjiang Road in Dalian was selected for evaluation. Four driving behav⁃ iors under green wave speed guidance strategy were compared. It is found that acceleration behaviors cause much more emissions and energy consumptions. In order to avoid this situation, a low emission ori⁃ ented speed guidance strategy was proposed through introducing fuzzy speed control into the accelera⁃ tion speed guidance. Results show that compared with green wave one, traffic emissions and energy con⁃ sumptions decrease by 3%～5% with the proposed speed guidance strategy in the middle traffic vol⁃ ume. It is proved that the low emission oriented speed guidance strategy plays a positive role on reducing emissions.