基于随机退化路网的碳排放收费优化模型

结合随机通行能力退化路网和双参考点累计前景用户择路模型，构建了引导低碳出行的碳排放收费多准则双层优化模型.上层模型以系统碳排放量最少为目标，搜索最优收费路段并识别最优费率.下层模型基于双参考点累积前景用户和随机退化路网，构建综合考虑行程时间、累积到达时间感知价值、过路费和油费的多准则流量分配模型.设计了基于路段碳密度的启发式算法对模型求解，并采用双向 Nguyen Dupuis路网验证了模型和算法的有效性.研究表明，合理设置收费路段和收费标准能够有效降低全网碳排放总量，但若收费标准设置过高，会降低原瓶颈路段的通行能力，并人为制造新的瓶颈，反而使全网碳排放量上升.

Carbon Emissions Pricing Optimization Model with Degradable Transport Network

Considering the random degradable network and the cumulative perceived users with bi- reference points, this paper proposed a multi-criteria bi-level carbon emissions pricing design approach (MBCPDA), which aims to induce users to choose low- carbon travel spontaneously. The upper level problem aims to minimize the total system CO2 emission and design the most effective carbon pricing standard and charge links from the viewpoint of traffic managers, and the lower level problem depicts travelers’route choice behavior based on stochastic degradable network and the cumulative perceived users, which considering travel time, cumulative arrival time perceived value (CATPV), carbon emissions charge and fuel cost simultaneously. The Heuristic algorithm based on link carbon density is developed to find optimal link pricing strategies. And a numerical example based on the Nguyen Dupuis network was conducted to verify the effectiveness of the approach and the algorithm. This paper demonstrates that a reasonable setting of charged links and standards can effectively reduce the total system carbon emission. And overcharge will not only damage the capacity of the existing bottleneck links, but also create new bottlenecks and increase the total system carbon emissions.