Optimization model for bus priority control considering carbon emissions.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Xinghua Hu, Xinghui Chen, Jianpu Guo, Gao Dai, Bing Long, Xiaoyan Chen
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引用次数: 2

Abstract

To study the impact of bus priority control (BPC) on traffic carbon emissions under the strategies of speed guidance, green extension (GE), and red truncation (RT), with consideration of the main influencing factors such as delay, stopping times, and speed, a combination optimization method was used to develop a bi-level optimization model for BPC. The optimal carbon-emission reductions of buses and social vehicles with different fuel types in the upstream section of the intersection and the intersection control area was the upper-level objective, and the optimal total passenger-delay reduction was the lower-level objective. The Gauss - Seidel iterative algorithm was used to solve the model. Finally, the model was applied to the analysis of calculation cases. The results indicated that after BPC was adopted under the guidance acceleration strategy, the reductions in the carbon emissions and total delay of passenger were optimal when the guidance speed was 38 km/h, i.e. 12.67% and 21.05%, respectively. Under the guidance acceleration and GE strategy, the reductions in the carbon emissions and total delay of passenger were optimal when the guidance speed was 39 km/h and the GE was 6 s, i.e. 27.49% and 38.62%, respectively. Under the guidance deceleration and RT strategy, the reductions in the carbon emissions and total delay of passenger were optimal when the guidance speed was 29 km/h and the RT was 6 s, i.e. 22.18% and 33.52%, respectively. The model reduced the carbon emissions and total delay of passenger in the upstream section of the intersection and the intersection control area to achieve the optimal overall traffic benefit for the intersection.

考虑碳排放的公交优先控制优化模型。
为研究车速引导、绿色延伸和红色截断策略下公交优先控制(BPC)对交通碳排放的影响,在考虑延误、停车次数和车速等主要影响因素的基础上,采用组合优化方法建立了公交优先控制(BPC)的双层优化模型。以交叉口上游段和交叉口控制区不同燃料类型公交车和社会用车碳减排最优为上层目标,以减少总乘客延误最优为下层目标。采用高斯-塞德尔迭代算法对模型进行求解。最后,将该模型应用于算例分析。结果表明:在引导加速策略下,采用BPC后,当引导速度为38 km/h时,乘客碳排放和总延误减少量分别为12.67%和21.05%,达到最优;在引导加速和GE策略下,当引导速度为39 km/h, GE为6 s时,乘客碳排放和总延误减少量分别为27.49%和38.62%。在引导减速+快速响应策略下,当引导速度为29 km/h、快速响应时间为6 s时,乘客碳排放量和总延误减少量分别为22.18%和33.52%,达到最优。该模型降低了交叉口上游路段和交叉口控制区的碳排放和乘客总延误,使交叉口整体交通效益达到最优。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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