Abstract

Road network requires timely maintenance to keep pavement surface in good condition for reduction of fuel consumption with the limited budget. This study focused on development of pavement preservation strategies in the road network considering multi-objective optimization of agency cost and environmental impact (in terms of CO₂ emission). Field data from long-term pavment performance (LTPP) database were used to quantify the impact of pavement preservation treatments (crack seal, chip seal, and thin overlay) on the changes of surface roughness. The emission rate functions of vehicles with respect to speed and pavement surface condition were developed using Motor Vehicle Emission Simulator (MOVES) with the updated tire rolling resistance coefficients. The multi-objective optimization problem was solved using the Simulated Constraint Boundary Model (SCBM) method. The final solution was recommended based on the minimized distance from the utopia point to the Pareto front. The results show that the optimization solutions are affected by the available budget, existing pavement condition, truck traffic, and unacceptable level of pavement roughness. For multi-objective optimization of minimizing both agency cost and CO₂ emission, the recommended preservation treatments among different segments is a combination of crack seal and thin overlay in most cases. These findings can be used by highway agencies to make road maintenance decisions considering the tradeoff between agency cost and environmental impact.

摘要

路网需要及时维护，以保持路面处于良好状态，以在预算有限的情况下减少燃料消耗。本研究的重点是在考虑代理成本和环境影响（就 CO ₂排放）。长期路面性能 (LTPP) 数据库中的现场数据用于量化路面保护处理（裂缝密封、碎屑密封和薄覆盖层）对表面粗糙度变化的影响。使用机动车辆排放模拟器 (MOVES) 和更新的轮胎滚动阻力系数开发了与速度和路面状况相关的车辆排放率函数。使用模拟约束边界模型 (SCBM) 方法解决了多目标优化问题。根据从乌托邦点到帕累托前沿的最小距离推荐最终解决方案。结果表明，优化解决方案受可用预算、现有路面状况、卡车交通和不可接受的路面粗糙度水平的影响。₂排放，不同段之间推荐的保存处理在大多数情况下是裂缝密封和薄覆盖层的组合。考虑到机构成本和环境影响之间的权衡，公路机构可以使用这些发现来做出道路维护决策。