湖南大学学报（自然科学版）2026，Vol.53Issue(3)：127-138,12.DOI:10.16339/j.cnki.hdxbzkb.2026031
考虑误差影响的高速公路检测器优化布设
Optimization of expressway sensor deployment considering error impact
摘要
Abstract
This study proposes a two-stage optimization approach for expressway sensor deployment to improve traffic state estimation accuracy and incident detection capability,while explicitly accounting for error effects through the introduction of chance constraints to represent uncertainty.In the first stage,an initial sensor deploy-ment scheme is designed with the objective of maximizing service level estimation accuracy.In the second stage,three traffic incident detection models are integrated,and additional sensors are deployed to improve detection rates.Genetic algorithms are employed in both stages to solve the optimization problems.A case study based on the FOSIM simulation platform is conducted on an expressway in Guangxi Province,with four experimental scenarios under varying error levels to evaluate the performance of the proposed method.Results show that in the first stage,service level estimation accuracy improves with increased sensor quantity in the error-free group,while it exhibits a rise-then-fall trend in error-influenced groups,with larger errors leading to lower accuracy.In the second stage,detec-tion rates decline significantly under intensified error conditions.Error-influenced groups demonstrate greater im-provements after sensor addition,whereas the error-free group exhibits a higher performance ceiling,indicating dif-ferentiated response mechanisms under varying error conditions.Error levels have a significant impact on evaluation metrics in both stages.Although service level accuracy slightly decreases after sensor addition,it remains at a satis-factory level overall,validating the effectiveness of the proposed two-stage approach.关键词
交通工程/检测器优化布设/误差影响/高速公路/机会约束Key words
traffic engineering/sensor optimization deployment/error impact/expressway/chance constraint分类
交通工程引用本文复制引用
李洁,叶湘,秦晨洋..考虑误差影响的高速公路检测器优化布设[J].湖南大学学报（自然科学版）,2026,53(3):127-138,12.基金项目
湖南省科学技术厅重点研发项目(2022SK2096),Department of Science and Technology of Hunan Province(2022SK2096) （2022SK2096）
湖南省交通运输厅科技项目(202203),The Science and Technology Program of Hunan Provincial Department of Transportation(202203) （202203）
湖南省交通运输厅科技项目(202322),The Science and Technology Program of Hunan Provincial Department of Transportation(202322) （202322）
