[1]胡明伟,等.基于车牌识别数据的行驶轨迹重构和排放测算[J].深圳大学学报理工版,2020,37(2):111-120.[doi:10.3724/SP.J.1249.2020.02111]
 HU Mingwei,WANG Shoufeng,et al.Vehicle trajectory reconstruction and emission estimation based on license plate recognition data[J].Journal of Shenzhen University Science and Engineering,2020,37(2):111-120.[doi:10.3724/SP.J.1249.2020.02111]
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基于车牌识别数据的行驶轨迹重构和排放测算()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第37卷
期数:
2020年第2期
页码:
111-120
栏目:
交通物流
出版日期:
2020-03-16

文章信息/Info

Title:
Vehicle trajectory reconstruction and emission estimation based on license plate recognition data
文章编号:
202002001
作者:
胡明伟1 3王守峰2黄文柯1施小龙1黄文伟4王拓1
1)深圳大学土木与交通工程学院,广东深圳 518060
2)深圳市都市交通规划设计研究院有限公司,广东深圳 518060
3)深圳大学未来地下城市研究院,广东深圳 518060
4)深圳职业技术学院汽车与交通学院,广东深圳 518055
Author(s):
HU Mingwei1 3 WANG Shoufeng2 HUANG Wenke1 SHI Xiaolong1 HUANG Wenwei4 and WANG Tuo1
1)College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, Guangdong Province, P.R.China
2)Shenzhen Urban Transport Planning & Design Institute, Shenzhen 518060, Guangdong Province, P.R.China
3)Underground Polis Academy, Shenzhen University, Shenzhen 518060, Guangdong Province, P.R.China
4)School of Automotive and Transportation Engineering, Shenzhen Polytechnic, Shenzhen 518055, Guangdong Province, P.R.China
关键词:
交通运输系统工程柴油车轨迹重构车牌自动识别数据导航API排放测算MOVES排放模型
Keywords:
transport system engineering diesel vehicle trajectory reconstruction license plate automatic recognition navigation application programming interfaces (API) emission estimation motor vehicle emission simulator (MOVES) emission model
分类号:
U491
DOI:
10.3724/SP.J.1249.2020.02111
文献标志码:
A
摘要:
随着特大城市的发展,柴油车等高排放车辆成为城市的主要移动污染源之一,对大气环境质量控制造成越来越大的压力.基于道路交通车辆的车牌自动识别数据集,从识别断面的车辆通过时空数据推算车辆的行驶轨迹,获取城市级别高排放车辆的热点行驶路径、出行特征及活动规律,为制定车辆减排政策(如高排放车辆的管控及低排放区划定等)提供定量方法和科学依据.提出基于地图应用程序开发接口(application programming interfaces, API)导航的车辆行驶轨迹重构方法,较为真实地还原车辆行驶路径,并结合移动源排放测算(motor vehicle emission simulator, MOVES)模型对行驶车辆的多种污染物排放进行估算.以中国深圳市运行的柴油车为研究对象,分析验证该方法的可行性及可靠性.结果表明,该方法可完整重构柴油车在深圳市的运行轨迹,并实现对排放的估算,为机动车污染物减排提供辅助决策支持.
Abstract:
With the rapid development of megacities, high emission vehicles such as diesel vehicles have become one of the main sources of mobile pollution in cities, which causes more and more pressure on the atmospheric environment. By exploiting automatic license plate recognition data set of road traffic vehicles, we propose a methodology to the vehicle trajectory reconstruction based on the map’s real-time navigation application programming interfaces (API). Firstly, we establish the vehicle trajectory from the spatio-temporal data of vehicles in the recognition section. Then we obtain the hot routes, travel characteristics and activity rules of high emission vehicles in the city level. Finally, we combine the trajectory reconstruction results with the emission model of motor vehicle emission simulator (MOVES) to estimate the diesel vehicle emission. In the case study of Shenzhen, we analyze and verify the feasibility and reliability of this method. The experimental results show that the proposed method can reconstruct the trajectory of diesel vehicles in Shenzhen and achieve the estimation of emission, which can provide decision support for vehicle emission reduction.

参考文献/References:

[1] 中华人民共和国生态环境部. 中国机动车环境管理年报(2019)[EB/OL]. (2019-09-04)[2020-02-05].http://www.mee.gov.cn/hjzl/sthjzk/ydyhjgl/201909/P020190905586230826402.pdf.
Ministry of Ecology and Environment of the People’s Republic of China. China motor vehicle environmental management annual report (2019)[EB/OL].(2019-09-04)[2020-02-05].http://www.mee.gov.cn/hjzl/sthjzk/ydyhjgl/201909/P020190905586230826402.pdf.(in Chinese)
[2] 周磊,王伯光,汤大钢.重型柴油车对空气质量的影响及其排放的控制[J].环境科学,2011, 32(8):2177-2183.
ZHOU Lei, WANG Boguang, TANG Dagang. Impact of heavy-duty diesel vehicles on air quality and control of their emissions[J]. Chinese Journal of Environmental Science, 2011, 32(8): 2177-2183.(in Chinese)
[3] OLIVEIRA-NETO F M, HAN L D, JEONG M K. Tracking large trucks in real time with license plate recognition and text-mining techniques[J]. Die Quintessenz, 2009, 2121(2121): 121-127.
[4] 阮树斌,王福建,马东方,等. 基于车牌识别数据的机动车出行轨迹提取算法[J]. 浙江大学学报工学版, 2018, 52(5): 23-31.
RUAN Shubin, WANG Fujian, MA Dongfang, et al. Vehicle travel trajectory extraction algorithm based on license plate recognition data[J]. Journal of Zhejiang University Engineering Science, 2018, 52(5): 23-31.(in Chinese)
[5] 王龙飞. 基于车牌照的车辆出行轨迹分析方法与实践研究[D]. 西安:长安大学, 2011.
WANG Longfei. Study on technology and method of tracking survey of running vehicles based on plate number[D]. Xi’an: Chang’an University, 2011. (in Chinese)
[6] RAO Wenming, WU Y, XIA Jingxin, et al. Origin-destination pattern estimation based on trajectory reconstruction using automatic license plate recognition data[J]. Transportation Research Part C: Emerging Technologies, 2018, 95: 29-46.
[7] FENG Yu, SUN Jian, CHEN Peng. Vehicle trajectory reconstruction using automatic vehicle identification and traffic count data[J]. Journal of Advanced Transportation, 2015, 49(2): 174-194.
[8] MONTANINO M, PUNZO V. Trajectory data reconstruction and simulation-based validation against macroscopic traffic patterns[J]. Transportation Research Part B: Methodological, 2015, 80: 82-106.
[9] 曹杨. 基于MOVES模型的深圳市机动车排放清单研究[D]. 哈尔滨:哈尔滨工业大学, 2018.
CAO Yang. Studies of vehicle emission inventory in Shenzhen using MOVES[D]. Harbin: Harbin Institute of Technology, 2018.(in Chinese)
[10] 郝艳召,邓顺熙,邱兆文,等. 基于MOVES模型的西安市机动车排放清单研究[J]. 环境污染与防治, 2017, 39(3): 227-231.
HAO Yanzhao, DENG Shunxi, QIU Zhaowen, et al. Vehicle emission inventory for Xi’an based on MOVES model[J]. Environmental Pollution Control, 2017, 39(3): 227-231.(in Chinese)
[11] HUANG Wenke, HU Mingwei. Estimation of the impact of traveler information apps on urban air quality improvement[J]. Engineering, 2018, 4(2): 224-229.
[12] 黄文柯. 基于多方法建模的出行信息服务app交通与环境效益评估[D]. 深圳:深圳大学, 2017.
HUANG Wenke. The assessment on traffic and environmental benefits of traveler information service app based on multi-method model[D]. Shenzhen: Shenzhen University, 2017.(in Chinese)
[13] XIE Yuanchang, CHOWDHURY M, BHAVSAR P, et al. An integrated modeling approach for facilitating emission estimations of alternative fueled vehicles[J]. Transportation Research Part D: Transport and Environment, 2012, 17(1): 15-20.
[14] ABOU-SENNA H, RADWAN E, WESTERLUND K, et al. Using a traffic simulation model (VISSIM) with an emissions model (MOVES) to predict emissions from vehicles on a limited-access highway[J]. Journal of the Air & Waste Management Association, 2013, 63(7): 819-831.
[15] United States EPA. MOVES2014a user guide[EB/OL]. (2015-11-01)[2019-05-01]. https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100NNCY.pdf.
[16] United States EPA. MOVES2014 and MOVES2014a technical guidance: using MOVES to prepare mission inventories for state implementation plans and transportation conformity[EB/OL]. (2018-08-01)[2019-05-01]. https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100 V7EY.pdf.
[17] LI Ruimin, YANG Fanhang, LIU Zhiyong, et al. Effect of taxis on emissions and fuel consumption in a city based on license plate recognition data: a case study in Nanning, China[J]. Journal of Cleaner Production, 2019, 215: 913-925.

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备注/Memo

备注/Memo:
Received:2019-07-23;Accepted:2019-10-12
Foundation:Shenzhen Environmental Research Project(0722-186FE1719SZB)
Corresponding author:Professor HU Mingwei.E-mail: humw@szu.edu.cn
Citation:HU Mingwei, WANG Shoufeng,HUANG Wenke, et al. Vehicle trajectory reconstruction and emission estimation based on license plate recognition data[J]. Journal of Shenzhen University Science and Engineering, 2020, 37(2): 111-120.(in Chinese)
基金项目:深圳市环境科研课题资助项目(0722-186FE1719SZB)
作者简介:胡明伟(1972—),深圳大学教授. 研究方向:智能交通.E-mail:humw@szu.edu.cn
引文:胡明伟,王守峰,黄文柯,等.基于车牌识别数据的行驶轨迹重构和排放测算[J]. 深圳大学学报理工版,2020,37(2):111-120.
更新日期/Last Update: 2020-03-30