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缓解拥堵项目可减少温室气体排放,但基于单个变量(如仅基于出行距离)的CO2排放预测并不精确。为了准确预测缓堵项目减少的CO2排放量,利用车辆运行检测技术、车辆活动数据库及根据车辆类型设计的排放模型,通过分析速度与排放的关系绘制速度-排放曲线,并结合交通运行检测数据,评价缓堵策略、速度管理策略、交通平滑策略等交通运行管理技术在CO2减排方面的作用。以南加州某高速公路为例进行的研究显示,上述三项交通管理策略中任何一项都可减少7%～12%的CO2排放量;三条策略同时使用可减少大约30%的CO2排放量。
Mitigating congestion projects can reduce greenhouse gas emissions, but CO2 emissions projections based on individual variables (such as travel-based distances alone) are not accurate. In order to accurately predict the CO2 emission reductions of the project, the paper uses the vehicle operation detection technology, the vehicle activity database and the emission model designed according to the type of vehicle to draw the speed-emission curve by analyzing the relationship between speed and emission. Combining with the traffic operation detection data, Evaluate the role of traffic management technologies such as slow-block strategy, speed management strategy and traffic smoothing strategy in reducing CO2 emissions. A case study of an expressway in Southern California shows that any of the above three traffic management strategies can reduce CO2 emissions by 7% to 12%; the simultaneous use of the three strategies can reduce CO2 emissions by about 30%.