为了降低高速公路事故对通行能力和行车安全带来的影响，提出了一种涉及高速公路主线、服务区和收费站的精准协同管控策略。首先，对提出的协同管控策略进行了说明。其次，为了更真实地对高速公路事故场景的交通流进行仿真，通过设置大小车不同的随机慢化概率、加减速度和换道条件，对元胞自动机模型进行了改进。最后通过仿真验证了提出管控策略的有效性，结果表明，相比于无管控措施，采用服务区调控，在车均延误、油耗和累积碳排放上，分别能降低62.90%、69.50%和69.50%；采用服务区+收费站的协同管控模式，在3种指标上分别能进一步降低55.76%、59.58%和59.58%；精准管控措施可以显著降低事故的影响。

To mitigate the impact of highway accidents on traffic capacity and driving safety, a coordinated control strategy was proposed involving both service areas and toll stations. Firstly, the proposed coordinated control strategy was described in detail. Secondly, to simulate traffic flow more accurately under highway accident scenarios, the cellular automata model was enhanced by introducing different random deceleration probabilities, acceleration/deceleration rates, and lane-changing conditions for different vehicle types. Finally, the effectiveness of the proposed control strategy was validated through simulation. The results indicate that, compared to scenarios without control measures, implementing service area control can reduce average vehicle delay, fuel consumption, and cumulative carbon emissions by 62.90%, 69.50%, and 69.50% respectively. Moreover, using the coordinated control strategy of service areas and toll stations can further reduce these metrics by 55.76%, 59.58%, and 59.58% respectively. Precise control measures can significantly reduce the impact of accidents.