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Abstract

To address the decline in traffic efficiency and the increase in carbon emissions caused by lane closures in multi-lane expressway maintenance work zones, this study developed a multi-objective variable speed limit optimization model that integrates carbon emissions, traffic flow, and travel time to support low-carbon tr ansportation. A VISSIM-MOVES simulation platform and the NSGA -Ⅱ genetic algorithm were employed to optimize the speed limit scheme. Using the Suizhong section of the Beijing-Harbin Expressway as a case study, the results show that, compared with the fixed speed limit, the progressive variable speed limit scheme of 80 km/h‒ 80 km/h‒ 60 km/h reduces cumulative carbon emissions in the lane-closure maintenance work zone by 11,981.61 kg over three consecutive days and total carbon emissions within the speed-limit section by 7.18%, while effectively improving traffic capacity. The results also indicate that there is an optimal balance between traffic efficiency and environmental benefits in the maintenance work zone. When the average vehicle speed is controlled at 53.2 km/h, the carbon emission rate remains relatively low and the traffic flow approaches its maximum value. In addition, validation using both the simulation platform and the IPCC carbon emission accounting factors shows an overall average error of only 11.66% in carbon emission estimates, indicating that the proposed multi-objective optimization control model can effectively reduce carbon emissions while improving traffic efficiency, thus achieving a balance between environmental benefits and traffic efficiency.

Publication Date

10-29-2026

DOI

10.14048/j.issn.1671-2579.2026.05.029

First Page

276

Last Page

283

Submission Date

October 2026

Reference

[1]唐进君,付强,王骋程,等.高速公路可变限速控制策略多目标优化 [J].交通运输系统工程与信息,2023,23(2):252-261.Tang Jinjun,Fu Qiang,Wang Chengcheng,et al.Multi-objective optimization of variable speed limit control strategy on expressway [J].Journal of Transportation Systems Engineering and Information Technology,2023,23(2):252-261.

[2]郭昊菲,倪世成,蔡鸣,等.基于交通仿真的高速公路可变限速研究 [J].交通节能与环保,2025,21(4):125-128.Guo Haofei,Ni Shicheng,Cai Ming,et al.Study on variable speed limits for highways based on traffic simulation [J].Transport Energy Conservation & Environmental Protection,2025,21(4):125-128.

[3]孙建诚,乔佳星.浓雾下高速公路可变限速控制方法 [J].中外公路,2023,43(1):240-246.Sun Jiancheng,Qiao Jiaxing.Variable speed limit control method for highway under dense fog [J].Journal of China & Foreign Highway,2023,43(1):240-246.

[4]Li D,Ranjitkar P.A fuzzy logic-based variable speed limit controller [J].Journal of Advanced Transportation,2015,49(8):913-927.

[5]Walraven E,Spaan M T J,Bakker B.Traffic flow optimization:A reinforcement learning approach [J].Engineering Applications of Artificial Intelligence,2016,52:203-212.

[6]李彬,牛万龙,胡纪龄,等.基于大数据分析的高速公路分车型拥堵态势评估 [J].公路交通科技,2024,41(8):40-54.Li Bin,Niu Wanlong,Hu Jiling,et al.Expressway congestion state assessment due to different vehicle types based on big data [J].Journal of Highway and Transportation Research and Development,2024,41(8):40-54.

[7]贺文,李硕,夏文慧.基于 NSGA- Ⅱ算法的左转待行区交叉口信号配时优化 [J].中外公路,2020,40 (5):336-342.He Wen,Li Shuo,Xia Wenhui.Signal timing optimization of intersection with left-turn waiting area based on NSGA-Ⅱ algorithm [J].Journal of China & Foreign Highway,2020,40(5):336-342.

[8]李瑞,马荣国,梁国华,等.高速公路限速区段安全与效率优化协调模型 [J].哈尔滨工业大学学报,2019,51(3):158-164.Li Rui,Ma Rongguo,Liang Guohua,et al.Optimization and coordination model for speed limit section in freeway[J].Journal of Harbin Institute of Technology,2019,51(3):158-164.

[9]孟祥海,郑来,毕海峰,等.高速公路半幅封闭施工区交通特性与交通冲突特性研究 [J].中国公路学报,2013,26(2):140-146.Meng Xianghai,Zheng Lai,Bi Haifeng,et al.Research on traffic characteristics and traffic conflicts of one-way closed work zone on expressway [J].China Journal of Highway and Transport,2013,26(2):140-146.

[10]Carlson R C,Papamichail I,Papageorgiou M.Local feedback-based mainstream traffic flow control on motorways using variable speed limits [J].IEEE Transactions on Intelligent Transportation Systems,2011,12(4):1261 -1276.

[11]Liu B J,Ghosal D,Chuah C N,et al.Reducing greenhouse effects via fuel consumption-aware variable speed limit (FC-VSL )[J].IEEE Transactions on Vehicular Technology,2012,61(1):111-122.

[12]邬岚,任斯奇,陈茜,等.基于车路协同的快速路合流区可变限速控制方法 [J].重庆交通大学学报 (自然科学版 ),2024,43(9):68-77.Wu Lan,Ren Siqi,Chen Qian,et al.Variable speed limit control method based on cooperative vehicle infrastructure system [J].Journal of Chongqing Jiaotong University (Natural Science ),2024,43(9):68-77.

[13]Turner S M.Safety impacts of variable speed limits on Ⅰ-90[R].FHWA-HRT- 21-045,McLean:Federal Highway Administration,2021.

[14]Johansson C.Eco-speed control experiment on E 4 motorway [C]//Transportation Air Pollution Conference.Gothenburg:Chalmers University,2022:112-123.

[15]韦永华,田仲初.考虑碳排放的劣化桥梁多目标维修策略优化 [J].中外公路,2026,46(1):258-267.Wei Yonghua,Tian Zhongchu.Multi-objective maintenance strategy optimization of deteriorated bridges considering carbon emissions [J].Journal of China & Foreign Highway,2026,46(1):258-267.

[16]JTG H 30—2015 公路养护安全作业规程 [S].JTG H 30—2015 Safety work rules for highway maintenance [S].

[17]江婕,宋国华,孟冬利,等.面向交通排放测算的跟驰模型优化方法 [J].交通运输研究,2022,8(6):53-62.Jiang Jie,Song Guohua,Meng Dongli,et al.Optimization of car-following model for traffic emissions measurement[J].Transport Research,2022,8(6):53-62.

[18]滕茵.考虑碳排放的高速公路可变限速控制研究 [D].大连:大连交通大学,2023.Teng Yin.Study on variable speed limit control of expressway considering carbon emission [D].Dalian:Dalian Jiaotong University,2023.

[19]Rakha H,Crowther B.Comparison of greenshields,pipes,and van aerde car-following and traffic stream models [J].Transportation Research Record:Journal of the Transportation Research Board,2002,1802 (1):248-262.

[20]Eggleston H S,Buendia L,Miwa K,et al.2006 IPCC guidelines for national greenhouse gas inventories [M].Kanagawa:Institute for Global Environmental Strategies,2006:117-121.

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