海底隧道火灾车辆疏散优化模型研究

Research on Optimization of Fire Vehicle Evacuation in Subsea Tunnel

为了提高海底隧道事故车辆疏散效率,降低疏散过程人员遭受CO伤害,针对海底隧道路网结构特点和应用需求,建立多约束条件下的动态交通流车辆疏散模型,并基于改进蚁群算法设计了模型算法实现对模型的求解.翔安海底隧道火灾事故车辆动态交通流疏散的模拟仿真结果表明:车辆在实现时间最短目标的同时,动态分配交通流,充分利用6个应急出口,确保所有路径CO摄入均在阈值内,有效避免人员伤害.

To improve the efficiency of vehicle evacuation in subsea tunnel fire and reduce the damage of CO done to the personnel in the process of evacuation, a dynamic traffic flow evacuation optimization model with multi-constraints is built and an improved Ant Col- ony Algorithm in model solution is designed, targeted at the road network characteristics of subsea tunnel evacuation and application de- mands. The simulation of the dynamic traffic flow evacuation model in Xiang＇ an Subsea Tunnel fire shows that by making full use of the six emergency exits, the model achieves optimal evacuation time and actualizes dynamic assignment for traffic flow, while ensuring CO intake in all path is lower than the threshold value and effectively avoiding damage done to the personnel.