RTVEMVS: Real-time modeling and visualization system for vehicle emissions on an urban road network

被引:12
|
作者
Ding, Hui [1 ,2 ,3 ]
Cai, Ming [1 ,2 ,3 ]
Lin, Xiaofang [1 ,2 ,3 ]
Chen, Tong [1 ,2 ,3 ]
Li, Li [1 ,2 ,3 ]
Liu, Yonghong [1 ,2 ,3 ]
机构
[1] Sun Yat Sen Univ, Sch Intelligent Syst Engn, Guangzhou 510275, Peoples R China
[2] Guangdong Prov Key Lab Intelligent Transport Syst, Guangzhou 510275, Peoples R China
[3] Guangdong Prov Engn Res Ctr, Traff Environm Monitoring & Control, Guangzhou 510275, Peoples R China
关键词
Precise control; Real-time modeling; Real-time visualization; Vehicle emission; NRT TRAFFIC DATA; AIR-POLLUTION; INVENTORY; SIMULATION; POLLUTANTS; IMPACT; TECHNOLOGIES; REGION;
D O I
10.1016/j.jclepro.2021.127166
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
To improve the real-time and precision of vehicle emission monitoring and estimation for supporting variable and speedy response on vehicle emission control work, a real-time modeling and visualization system for vehicle emissions on an urban road network (RTVEMVS) was designed and built with Web platform by the development of three modules: real-time data collection, real-time modeling and realtime visualization. The real-time mapping of vehicle emission by vehicle types and road links and realtime"precise vehicles emissions impact estimation" technology which can trace key roads and vehicles induced high air pollution were innovated on system to provide the sensitive perception for government decision makers on speedy vehicles emission control. The detailed vehicle information, traffic flow, speed on each road link and weather data were accessed and fused in real-time from multiple urban sensor systems together with road network information. Integrating an emission calculation model with a high spatiotemporal resolution and the AREMOD dispersion model was running on real-time in RTVEMVS. Based on the Web interface and WebGIS technology (ArcGIS API for JavaScript), real-time vehicle emissions and estimation results can be visualized on a map. The RTEMVS was demonstrated by application on Chongqing of China, hourly based-links vehicle emission by vehicle types on road network and the top 10 of key road links and vehicles induced high air pollution per hour were clearly reveal and visually viewed, and indicate that the real-time system with real-time mapping and precise estimation can provide direct support to the variable vehicle emission control. The RTVEMVS is a useful platform for supporting decision-making in the precise control of urban vehicle emissions pollution. (c) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Real-time approaches of urban vehicle traffic control
    Letia, T. S.
    2006 IEEE-TTTC International Conference on Automation, Quality and Testing, Robotics, Vol 1, Proceedings, 2006, : 346 - 350
  • [32] Road Image Enhancement and Real-Time Vehicle Detection at Night Based on Convolutional Neural Network
    Dong, Tao
    Engineering Intelligent Systems, 2024, 32 (02): : 169 - 178
  • [33] Endowing Urban Vehicle Traffic with Real-Time Features
    Letia, Tiberiu S.
    Hulea, Mihai
    Dinga, Florin
    PROCEEDINGS OF THE 2ND WSEAS INTERNATIONAL CONFERENCE ON URBAN PLANNING AND TRANSPORTATION: RECENT ADVANCES IN URBAN PLANNING AND TRANSPORTATION, 2009, : 165 - 170
  • [34] Emissions and performance analysis of diesel powered road vehicle equipped with real-time non-surfactant emulsion fuel supply system
    Ramlan, Nur Atiqah
    Yahya, Wira Jazair
    Ithnin, Ahmad Muhsin
    Abd Kadir, Hasannuddin
    Abu Kassim, Khairil Anwar
    Rahman, Hasbullah Abdul
    Chan, Arif Fahim Ezzat
    Mazlan, Nurul Aisyah
    Rashid, Muhammad Adib Abdul
    Sugeng, Dhani Avianto
    FUEL, 2020, 273
  • [35] Real-time Dynamic Information to Road-users: New Challenges for Urban Road Network Management Strategies
    Charansonney, Luc
    Aguilera, Vincent
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2014 (ICNAAM-2014), 2015, 1648
  • [36] Real-Time Monitoring and Visualization Software for OpenFlow Network
    Wassapon, Watanakeesuntorn
    Uthayopas, Putchong
    Chantrapornchai, Chantana
    Ichikawa, Kohei
    2017 15TH INTERNATIONAL CONFERENCE ON ICT AND KNOWLEDGE ENGINEERING (ICT&KE), 2017, : 54 - 58
  • [37] Real-time estimation of road friction coefficient for the electric vehicle
    Lin Cheng
    Wang Gang
    Cao Wan-ke
    Zhou Feng-jun
    PROCEEDINGS OF THE 2012 THIRD WORLD CONGRESS ON SOFTWARE ENGINEERING (WCSE 2012), 2012, : 172 - 175
  • [38] Realistic road modelling for the real-time simulation of vehicle dynamics
    Butz, Torsten
    Ehmann, Martin
    von Stryk, Oskar
    Wolter, Thieß-Magnus
    ATZ worldwide, 2004, 106 (02) : 11 - 13
  • [39] Real-Time Cooperative Vehicle Coordination at Unsignalized Road Intersections
    Luo, Jiping
    Zhang, Tingting
    Hao, Rui
    Li, Donglin
    Chen, Chunsheng
    Na, Zhenyu
    Zhang, Qinyu
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (05) : 5390 - 5405
  • [40] Real-Time Road Hazard Information System
    Pena-Caballero, Carlos
    Kim, Dongchul
    Gonzalez, Adolfo
    Castellanos, Osvaldo
    Cantu, Angel
    Ho, Jungseok
    INFRASTRUCTURES, 2020, 5 (09)