Abstract
Transport is an economic sector that is growing in the global scale in most of the monitored indicators. There are commensurately increasing negative effects on the urban population health and the environment (emissions, noise, hazardous material transport, congestion, human inactivity, etc.). The issue of sustainable transport, especially in the urban areas, is being discussed more often. Negative impact on the human health can never be avoided, but in a responsible and sustainable society the sets of measures are applied to minimise the impact. One of the possible approaches to the solution is to use the data obtained with the DataFromSky system focused on the intensity modelling and generation of emissions from transport. This system is a software tool that uses the real traffic information about the monitored area of traffic such as the type of the passing vehicles, their speed and acceleration profile. The data are analysed and processed in two stages. The first one is georegistration and the latter one is detection, localisation and cracking of objects of interest in the video sequence. These data are obtained by monitoring the traffic area with the application of the drone technology or camera systems. The measured data can be used for predictions and modelling of the emission development in transport. The aim is to create a supporting tool for traffic control which is in accordance with the smart city concept and leads to reducing the emission load from traffic.
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References
M.J. Nieuwenhuijsen, H. Khreis, Car free cities: pathway to healthy urban living. Environ. Int. 94, 251–262 (2016). ISSN: 1550-1477
K. Bhalla, M. Shotten, et al., Transport for Health: The Global Burden of Disease From Motorized Road Transport [online] (World Bank Group, Washington, DC, 2014). [cit: 2018-09-10]. Available on the Internet: http://documents.worldbank.org/curated/en/2014/01/19308007/transport-health-global-burden-disease-motorized-road-transport
WHO, Global Health Observatory [online], 2015 [2018-09-02]. Available on the Internet: http://www.who.int/gho/road_safety/mortality/en/
H. Zhao, J. Zhu, Efficient data dissemination in urban VANETs: parked vehicles are natural infrastructures. Int. J. Distributed Sens. Netw. 8(12), 151795 (2012)
CarSharing, The Carsharing Association [online], 2016 [2018-07-08]. Available on the Internet: http://carsharing.org/
Mobypark, Le parking des voyaguers. [online], 2016. Mobypark [2018-07-08]. Available on the Internet: https://www.mobypark.com/fr.
V. Adamec, et al., Issues of hazardous materials transport and possibilities of safety measures in the concept of smart cities. in: EAI Endorsed Transactions on Smart Cities. Italy: EAI, ICST. org. Extended version, 16(1): e4. pp. 1-11 (2016)
K. Pradeep, What’s the really mean of Smart City?, in: Smart City Projects [online], 2015 [2018-06-08]. Available on the Internet: http://www.smartcitiesprojects.com/whats-the-real-mean-of-smart-city/
ATEM, Ateliér ekologických modelů, s.r.o. [online], 2018 [27 Sep 2018]. Available on the Internet: http://www.atem.cz
MOVES, U.S. Environmental Protection Agency [online], 2018 [2018-10-02]. Available on the Internet: https://www.epa.gov/moves
PTV Group, The Vision Traffic Suite [online], 2018 [2018-10-02]. Available on the Internet: http://vision-traffic.ptvgroup.com/en-us/products/
Emisia, Conscious of transport’s impact [online], 2018 [2018-10-04]. Available on the Internet: https://www.emisia.com
CDV, Centrum dopravnÃho výzkumu [online], 2018 [2018-09-30]. Available on the Internet: https://www.cdv.cz
RDE, The Real Driving Emissions [online], 2017 [2018-9-27]. Available on the Internet: http://www.caremissionstestingfacts.eu/rde-real-driving-emissions-test/
SEKO, Měřenà emisà motorových vozidel za jÃzdy [online], 2015 [2018-09-30]. Available on the Internet: http://www.sekobrno.cz/vyzkum-a-vyvoj/mereni-emisi-motorovych-vozidel-za-jizdy/ (In Czech)
RICARDO, Real Word Emission Monitoring [online], 2018. Ricardo PLC [2018-09-10]. Available on the Internet: https://ricardo.com/news-and-media/press-releases/ricardo-launches-real-world-vehicle-emissions-moni
G.B. Hua, Smart Cities as a Solution for Reducing Urban Waste and Pollution (Information Science Reference, Hershey, 2016). An Imprint of IGI Global. ISBN 978-1-5225-0302-6
Metodika Konceptu inteligentnÃch mÄ›st, Project TB930MMR001 [online], 2015 [2018-09-17]. Available on the Internet: http://www.mmr.cz/getmedia/b6b19c98-5b08-48bd-bb99-756194f6531d/TB930MMR001_Metodika-konceptu-Inteligentnich-mest-2015.pdf (In Czech)
Climo, Bosch Climo [online], 2017 [2018-09-18]. Available on the Internet: http://www.boschclimo.com
M.S. Jamil et al., Smart environment monitoring system by employing wireless sensor networks on vehicles for pollution free smart cities. Procedia Eng. 107, 480–484 (2015)
A. Goel, et al., Air pollution detection based on head selection clustering and average method from wireless sensor network, in: Advanced Computing & Communication Technologies (ACCT), 2012 Second International Conference (IEEE, 2012), pp. 434–438. ISBN: 9781467304719
A. Miles et al., IoT-based decision support system for monitoring and mitigating atmospheric pollution in smart cities. J. Decision Syst. Taylor & Francis 27, 56–67 (2018). ISSN: 1246-0125
BreezoMeter, Location-based, real-time, air quality data you can trust [online], 2018 [2018-09-18]. Available on the Internet: https://breezometer.com
Y. Mehta, et al., Cloud enable air quality detection, analysis and prediction: a smart city application for smart health, in: 3rd MEC International Conference on Big Data and Smart City, 2016, pp. 272–278. doi: https://doi.org/10.1109/ICBDSC.20167460380.
R.H. Narashid, W.M.N.W. Mohd, Air quality monitoring using remote sensing and GIS technologies, in: Proceedings of IEEE International Conference on Science and Social Research, December (2010), pp. 1186–1191
V. Adamec, B. Schüllerová, A. Babinec, D. Herman, J. PospÃÅ¡il, Using the DataFromSky System to Monitor Emissions from Traffic. In Transport Infrastructure and Systems: Proceedings of the AIIT International Congress on Transport Infrastructure and Systems, Rome, Italy, 10-12 April 2017 (Leiden, Netherlands, 2017). pp. 913–918. ISBN: 9781138030091
E. Bochinski, V. Eiselein, T. Sikora, High-Speed Tracking by Detection Without Using Image Information [online], 2017. [2018-09-08]. Available on the Internet: http://elvera.nue.tu-berlin.de/files/1517Bochinski2017.pdf
D. Espejel-Garcia, J.A. Saniger-Alba, G. Wenglas-Lara, et al., A comparison among manual and automatic calibration methods in VISSIM in an Expressway (Chihuahua, Mexico). Open J. Civil Eng. 7, 539–552 (2018). ISSN: 2164-3172
R. Girshick, FAST R-CNN [online], 2015 [2018-10-01]. Available on the Internet: https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Girshick_Fast_R-CNN_ICCV_2015_paper.pdf
Ministerstvo životnÃho prostÅ™edà [online]. Praha, 2018 [2018-09-21]. Available on the Internet: https://www.mzp.cz (In Czech)
H. Okuda, K. Harada, T. Suzuki et al., Modeling and analysis of acceptability for merging vehicle at highway junction, in: 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), 1–4 Nov 2016, Rio de Janeiro. ISSN: 2153-0017
J. Park et al., An application of emission monitoring system based on real-time traffic monitoring. Int. J. Inf. Process. Manag. 4(1), 51–57 (2013). https://doi.org/10.4156/ijipm.vol4.issue1.7. Gyeongju-si: Advanced Institutes of Convergence Information Technology. ISSN 20934009
N. Raju, P. Kumar, A. Chepuri, et al., Calibration of vehicle following models using trajectory data under heterogenous traffic conditions, in Conference: Transportation Research Board 96th Annual Meeting, Transportation Research Board, Vol. 17-05479, Washington DC, USA (2017)
S. Ren, K. He, R. Girshick, J. Sun, Faster RCNN: Towards Real-Time Object Detection without Region Proposal Networks [online], 2012 [2018-09-08]. Available on the Internet: https://papers.nips.cc/paper/5638-faster-r-cnn-towards-real-time-object-detection-with-region-proposal-networks.pdf
S.M.S. Mahmud et al., Application of proximal surrogate indicators for safety evaluation: A review of recent developments and research needs. IATSS Res. 41(4), 153–163 (2017). ISSN: 0386-1112
SYMOS’97, IDEA-ENVI [online], 2017 [2018-09-27]. Available on the Internet: https://www.idea-envi.cz/symos-97.html
D. Sperling, D. Gordon, Two Billion Cars: Transforming a Culture, TR News 259, 3–9 (2008).
A. Cathcart-Keays, Will we ever a realy car-free city? [online], 2015 [2018-10-01]. Available on the Internet: https://www.theguardian.com/cities/2015/dec/09/car-free-city-oslo-helsinki-copenhagen
EURACTIVE. Air Quality [online], 2016 [2018-10-01]. Available on the Internet: https://www.euractiv.com/sections/air-pollution/
EUROSTAT. Greenhouse gas emissions from transport [online], 2018 [2018-10-03]. Available on the Internet: https://www.eea.europa.eu/data-and-maps/indicators/transport-emissions-of-greenhouse-gases/transport-emissions-of-greenhouse-gases-11
Data From Sky [online], 2018 [2018-10-03]. Available on the Internet: http://datafromsky.com/platform/software/
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Adamec, V., Herman, D., Schullerova, B., Urbanek, M. (2020). Modelling of Traffic Load by the DataFromSky System in the Smart City Concept. In: Lopes, N. (eds) Smart Governance for Cities: Perspectives and Experiences. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-22070-9_7
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