基于路径交通拥堵指数的危险废物回收模型研究

针对交通拥堵对危险废物运输中的成本和风险的影响，引入路径交通拥堵指数，建立了时变道路系统中基于交通拥堵指数的危险废物回收双目标优化模型，并对传统蚁群算法中启发式因子计算公式进行了改进，提出了改进的蚁群算法对模型求解，最后以某环保公司危险废物回收问题为背景进行了案例分析。结果表明，不同出发时间和车辆使用模式对帕累托最优解有显著影响，最短路径不一定是耗能最少的行车路线。本文提出的模型和算法可为决策者制定调度方案提供参考。

A hazardous waste recycling model based on a route traffic congestion index

In an attempt to understand the impact of traffic congestion on the cost and risk of hazardous waste transportation, a route traffic congestion index is introduced in this paper, and a double-objective optimization model of hazardous waste recovery based on the traffic congestion index in a time-dependent road system is established. The formula for calculation of heuristic factors in a traditional ant colony algorithm is also improved, and the improved ant colony algorithm is used to solve the model. Finally, a case study was carried out on hazardous waste recycling in an environmental protection company. The results show that different departure times and vehicle usage patterns have a significant impact on the Pareto optimal solution and the shortest route does not necessarily involve the lowest energy consumption. The models and algorithms proposed in this paper can assist in the development of more efficient scheduling schemes.