摘要
为量化智能信控系统应用对碳减排的贡献量,首先基于城市交叉口交通流理论,分析了智能信控系统应用后城市交叉口通行能力和交通流量的变化,提出智能信控系统的碳减排原理。然后,通过开展车辆行驶工况测试,绘制出小汽车车速与碳排放强度之间的关系曲线,以确定相应的碳排放强度,并根据智能信控系统应用前后交叉口范围内车辆的运行状况的变化,从宏观层面计算智能信控系统应用产生的碳减排效益。最后,以保定市智能信控系统项目为例,收集和分析相关数据,运用提出的评估方法得出系统应用后产生的碳减排量。研究表明,该系统应用后可使东风路—阳光大街交叉口、东风路—朝阳大街交叉口等8个交叉口年平均碳减排量达148t/个。若按保定市智能信控系统项目覆盖全部的176个交叉口计算,可实现年碳减排量在2万t以上,表明智能信控系统在提升道路交叉口通行效率及碳减排效益方面效果显著。
In order to quantify the contribution of intelligent signal control system application to carbon emissions reduction,the changes of traffic capacity and traffic volume based on the traffic flow theory at ur‐ban intersection were analyzed,and principle of carbon emissions reduction of intelligent signal control system was proposed.Then,the relationship curve of vehicle speed and carbon emissions intensity was formed by vehicle driving cycle testing to calculate the relevant carbon emissions factors,and the carbon emissions reduction benefits of the intelligent signal control system from the macro level were calculated based on the operating conditions of vehicles within the intersection before and after the application of the system.Finally,taking Baoding intelligent signal control system project as an example,essential data was collected and analyzed,and the carbon emissions reduction was calculated with the proposed method.The result showed that 8 intersections such as Dongfeng road and Yangguang street intersection,Dongfeng road and Chaoyang street intersection could achieve an average carbon emissions reduction of 148 tons annually per intersection,and the annual reduction could reach 20 thousand tons if the intelligent signal management system covers all 176 intersections,which means intelligent signal control system can efficiently improve the traffic efficiency of road intersections and produce significant carbon emissions reduction benefits at the same time.
作者
李振宇
宋伟男
路熙
刘涛
LI Zhen-yu;SONG Wei-nan;LU Xi;LIU Tao(Key Laboratory of Advanced Public Transportation Science,China Academy of Transportation Sciences,Beijing 100029,China;Traffic Police Branch,Baoding Public Security Bureau,Baoding 071000,China)
出处
《交通运输研究》
2022年第3期49-55,共7页
Transport Research
基金
中央级公益性科研院所基本科研业务费项目(20214805)。
关键词
城市交通
智能交通技术
智能信控系统
碳排放
评估方法
urban traffic
intelligent transportation technology
intelligent signal control system
carbon emissions
evaluation method