考虑车辆尾气污染暴露的系统网络优化模型

为缓解车辆尾气排放对出行者造成的影响，为交通规划与管理部门提供一种新的规划思路，从交通管理者的角度，以出行者为研究对象，集成高斯扩散模型，建立了考虑尾气污染暴露的系统网络优化模型.利用Matlab和MINOS对非线性模型进行求解，并通过算例验证了模型和算法的有效性，研究结果表明，所建立的模型能够以牺牲系统小部分行驶时间为代价(+10.45%)，有效地降低路网中的尾气污染暴露(-41.13%).通过分析比较，系统行驶时间与系统尾气污染暴露之间存在Pareto优化，即决策者可根据规划目的权衡缓解交通拥堵与减少尾气暴露的关系.

Network System Optimal Considering Vehicular Emission Exposure

In order to mitigate the impact of vehicular emission on travelers and apply a new method to manage urban traffic for the traffic planning and management department, this paper focuses on travelers and applies the Gaussian dispersion model to establish a new network system optimization model which considering vehicular emission exposure. The new model is solved using Matlab and MINOS. Per the specific network setting, we find that the new model can effectively reduce the vehicular emission exposure (-41.13%) by sacrificing small part of travel time (+10.45%). And system travel time and vehicular emission exposure exist Pareto optimal, so the policy maker should trade-off between two conflicting objectives to alleviate the vehicular emission exposure and congestion.