Application of Intelligent Transportation Systems in Analyses of Human Spatial Mobility in Cities

Marta  Borowska-Stefańska; Michał Kowalski; Paulina  Kurzyk; Miroslava Mikušová; Szymon  Wiśniewski

Application of Intelligent Transportation Systems in Analyses of Human Spatial Mobility in Cities

Publication date: 30.06.2021

Transport Geography Papers of Polish Geographical Society, 2021, 24 (1), pp. 7-30

https://doi.org/10.4467/2543859XPKG.21.001.14944

Authors

Download full text

PDF

Titles

Application of Intelligent Transportation Systems in Analyses of Human Spatial Mobility in Cities

Abstract

This article contains results of studies on the applicability of data from Intelligent Transportation Systems (ITS) for the purposes of geographical studies regarding the spatial mobility of inhabitants within a big city. The article focuses on the option of applying two types of sub-systems – induction loops and automatic number-plate recognition (ANPR) – and includes examples of analyses based on the resulting data, which can serve as a basis for mobility studies. The area on the example of which the capabilities of application of ITS data have been presented is Lodz – a large city in central Poland. The conducted research shows that ITS systems offer an enormous potential in providing data for spatial mobility studies. In order to fully exploit its worth, however, it is imperative to expand the research procedure by including, for instance, the results of qualitative research. Also, the interpretation of results obtained on the basis of ITS data ought to be performed with an awareness of numerous significant preliminary and simplifying assumptions.

Keywords

ITS; spatial mobility, transport geography, induction loops, ANPR

References

Download references

Albert G., Mahalel D., 2006, Congestion tolls and parking fees: A comparison of the potential effect on travel behavior, Transport Policy, 13(6), 496-502.

Ambak K., Atiq R., Ismail R., 2009, Intelligent transport system for motorcycle safety and issues, European Journal of Scientific Research, 28(4), 600-611.

Anagnostopoulos C.N.E., Anagnostopoulos I. E., Loumos V., Kayafas E., 2006, A license plate-recognition algorithm for intelligent transportation system applications. IEEE Transactions on Intelligent transportation systems, 7(3), 377-392.

Anagnostopoulos C.N.E., Anagnostopoulos I. E., Psoroulas I.D., Loumos V., Kayafas E., 2008, License plate recognition from still images and video sequences: A survey. IEEE Transactions on intelligent transportation systems, 9(3), 377-391.

Badoe D.A., Miller E.J., 2000, Transportation–land-use interaction: empirical findings in North America, and their implications for modeling, Transportation Research Part D: Transport and Environment, 5(4), 235-263.

Barcelo J., Casas J., Ferrer J.L., Garcia D., 1999, Modelling advanced transport telematic applications with microscopic simulators: The case of AIMSUN2. In Traffic and Mobility, Springer, Berlin–Heidelberg, 205-221.

Barwiński S., Kotas P., 2015a, Inteligentne Systemy Transportowe jako narzędzie rozwiązywania problemów komunikacyjnych miast na przykładzie Łodzi, [w:] W. Grzegorczyk (red.) Wybrane problemy zarządzania i finansów. Studia przypadków, Wydawnictwo Uniwersytetu Łodzkiego, Łodź.

Barwiński S., Kotas P., 2015b, Inteligentne Systemy Transportowe w wybranych miastach Polski, Autobusy: Technika, Eksploatacja, Systemy Transportowe, 16, 26-29.

Bazzan A.L.C., Klugl F., 2014, Introduction to Intelligent Systems in Traffic and Transportation, Morgan & Claypool. Bertolini L., Le Clercq F., Kapoen L., 2005, Sustainable accessibility: a conceptual framework to integrate transport and land use plan-making. Two test-applications in the Netherlands and a reflection on the way forward. Transport Policy, 12(3), 207-220.

Biswas S., Tatchikou R., Dion F., 2006, Vehicle-to-vehicle wireless communication protocols for enhancing highway traffic safety. IEEE communications magazine, 44(1), 74-82.

Boarnet M.G., Sarmiento S., 1998, Can land-use policy really affect travel behaviour? A study of the link between non-work travel and land-use characteristics, Urban Studies, 35(7), 1155-1169.

Boarnet M.G., 1996, The direct and indirect economic effects of transportation infrastructure. Working Paper No. 340, University of California Transportation Center, Berkeley.

Bodger M., Ellison J., Paramer J., 2005, Developing journey time performance indicators for the urban environment using ANPR technology, Traffic Engineering & Control, 46(9).

Buch N., Velastin S.A., Orwell J., 2011, A review of computer vision techniques for the analysis of urban traffic, IEEE Transactions on Intelligent Transportation Systems, 12(3), 920-939.

Burnos P., Gajda J., Marszałek Z., Piwowar P., Sroka R., Stencel M., ŻegleńT., 2011, Road traffic parameters measuring system with variable structure, Metrology and Measurement Systems, 18(4), 659-666.

Burnos P., Gajda J., Piwowar P., Sroka R., Stencel M., ŻegleńT., 2007, Accurate weighing of moving vehicles. Metrology and Measurement Systems, 14(4), 507-516.

Campbell M., Egerstedt M., How J.P., Murray R.M., 2010, Autonomous driving in urban environments: approaches, lessons and challenges, Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 368(1928), 4649-4672.

Ciastoń-Ciulkin A., 2014, Zrównoważona mobilność mieszkańców obszarów zurbanizowanych, Autobusy: Technika, Eksploatacja, Systemy Transportowe, 15, 14-20.

Costabile F., Allegrini I., 2008, A new approach to link transport emissions and air quality: An intelligent transport system based on the control of traffic air pollution, Environmental Modelling & Software, 23(3), 258-267.

Dąbrowska-Loranc M., Leśniowska-Matusiak I., 2011, Programy edukacyjne a mobilność użytkowników dróg, Transport Miejski i Regionalny, (1), 19-23.

Dix M., Firth D., 2005, Transport for London Congestion Charging-Scheme Developments and the Use of New Technology. In 12th World Congress on Intelligent Transport SystemsITS AmericaITS JapanERTICO.

Du H., Mulley C., 2006, Relationship between transport accessibility and land value: Local model approach with geographically weighted regression, Transportation Research Record: Journal of the Transportation Research Board, 1977, 197-205.

Dudek P., Ochelska-Mierzejewska J., 2016, Analiza wybranych czynników wpływających na jakość komunikacji miejskiej w Łodzi ze szczególnym uwzględnieniem transportu tramwajowego, Autobusy: Technika, Eksploatacja, Systemy Transportowe, 17(12), 590-597.

Dybicz T., 2009, Modelowanie i symulacje ruchu, rys historyczny i aktualnie stosowane oprogramowanie. Zeszyty Naukowo-Techniczne Stowarzyszenia Inżynierów i Techników Komunikacji w Krakowie. Seria: Materiały Konferencyjne, 90, 148, 57-73.

Eisner R., 1991, Infrastructure and regional economic performance: comment, New England Economic Review, Sep, 47-58.

Elhorst J.P., Oosterhaven J., 2002, Effects of transport improvements on commuting and residential choice, Technical report, Mimeo, University of Groningen, NL.

Filjar R., Dujak M., Drilo B., ŠariC D., 2009, Intelligent transport system. recent advancements provide means for exploitation of mobile user location-related data for location-based and its services.

Gaikwad D.Y., Borole P.B., 2014, A Review Paper on Automatic Number Plate Recognition (ANPR) System, International Journal of Innovative Research in Advanced Engineering (IJIRAE) Volume, 1.

Gajda J., Sroka R., Stencel M., Wajda A., Zeglen T., 2001, May, A vehicle classification based on inductive loop detectors, [w:] Instrumentation and Measurement Technology Conference, 2001. IMTC 2001. Proceedings of the 18th IEEE, 1, 460-464.

Garcia C.R., Quesada-Arencibia A., Cristobal T., Padron G., Alayon F., 2016, Systematic development of inteligent systems for public road transport, Sensors, 16(7), 1104.

Gerla M., Lee E.K., Pau G., Lee U., 2014, March, Internet of vehicles: From intelligent grid to autonomous cars and vehicular clouds. [w:] Internet of Things (WF-IoT), 2014 IEEE World Forum on, 241-246.

Geurs K.T., Van Wee B., 2004, Accessibility evaluation of land-use and transport strategies: review and research directions, Journal of Transport Geography, 12(2), 127-140.

Giuliano G., 2004, Land use impacts of transportation investments, The Geography of Urban Transportation, 3, 237-273.

Givoni M., 2006, Development and impact of the modern high‐speed train: A review, Transport Reviews, 26(5), 593-611.

Hagman O., 2006, Morning queues and parking problems. On the broken promises of the automobile, Mobilities, 1(1), 63-74.

Halden D., 2002, Using accessibility measures to integrate land use and transport policy in Edinburgh and the Lothians, Transport Policy, 9(4), 313-324.

Harmatu ck D.J., 1996, The influence of transportation infrastructure on economic development, Logistics and Transportation Review, 32 (1), 63-76.

Heath G.W., Brownson R. C., Kruger J., Miles R., Powell K.E., Ramsey L.T., Task Force on Community Preventive Services, 2006, The effectiveness of urban design and land use and transport policies and practices to increase physical activity: a systematic review, Journal of Physical Activity and Health, 3(s1), S55-S76.

Janowski L., Kozłowski P., Baran R., Romaniak P., Glowacz A., Rusc T., 2014, Quality assessment for a visual and automatic license plate recognition, Multimedia Tools and Applications, 68(1), 23-40.

Jiron P., 2009, Mobility on the move: Examining urban daily mobility practices in Santiago de Chile, London School of Economics and Political Science (United Kingdom).

Jones P.M., Dix M.C., Clarke M.I., Heggie I.G., 1983, Understanding travel behaviour (No. Monograph). Kaufmann V., Bergman M.M., Joye D., 2004, Motility: mobility as capital, International Journal of Urban and Regional Research, 28(4), 745-756.

Kaur S., Kaur S., 2014, An efficient approach for numer plate extraction from vehicles image under image processing, International Journal of Computer Science and Information Technologies, 5(3), 2954-2959.

Kim N.S., Susilo Y.O., 2013, Comparison of pedestrian trip generation models, Journal of Advanced Transportation, 47(4), 399-412.

Kitamura R., Mokhtarian P.L., Laidet L., 1997, A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area, Transportation, 24(2), 125-158.

Kochanowska M., 2011, Wstępny plan mobilności dla pracowników Biura Drogownictwa i Komunikacji Urzędu Miasta Warszawy, Transport Miejski i Regionalny, 24-27.

Kockelman K., 1997, Travel behavior as function of accessibility, land use mixing, and land use balance: evidence from San Francisco Bay Area, Transportation Research Record: Journal of the Transportation Research Board, (1607), 116-125.

Kowalski M., Wiśniewski S., 2017a, Natężenie ruchu a zagospodarowanie Łodzi – zarys problematyki w świetle danych z Obszarowego Systemu Sterowania Ruchem, Prace Komisji Geografii Komunikacji PTG, 20 (4), 20-36.

Kowalski M., Wiśniewski S., 2017b, Centrum handlowe jako czynnik ruchotwórczy w transporcie samochodowym – przykład Portu Łodź(A shopping centre as a traffic- -generating factor In car transport as exemplified by Port Łodź, Poland), Przegląd Geograficzny, 89(4), 617-639.

Koźlak A., 2008, Inteligentne systemy transportowe jako instrument poprawy efektywności transportu, Logistyka, 2 (artykuł opublikowano na CD będącym integralną częścią czasopisma).

Kraft S., 2014, Daily spatial mobility and transport behaviour in the Czech Republic: pilot study in the Pisek and Bystrice and Pernstejnem regions, Human Geographies, 8(2), 51.

Kulkarni P., Khatri A., Banga P., Shah K., 2009, April, Automatic number plate recognition (ANPR) system for Indian conditions, [w:] Radioelektronika, 2009. RADIOELEKTRONIKA’ 09. 19th International Conference, 111-114.

Kumar K.K., Sailaja V., Khadhee, S., Viswajith K., 2017, Automatic Number Plate Recognition System, Indian Journal of Science and Technology, 10(4).

Li J., Van Zuylen H.J., Wei G., 2014, Loop detector data error diagnosing and interpolating with probe vehicle data, [w:] 93rd Annual Meeting Transportation Research Board, Washington, USA, 12-16 January 2014; Authors version, TRB.

Li Y., Li Z., 2008, Grey Relational Analysis between Infrastructure Investment and Economic Growth in China from 1997 to 2006, [w:] Proceedings of 2008 International Conference on Construction & Real Estate Management, 1, 564-567.

Litman T., 20 07, Land Use Impacts on Transport: How Land Use Factors Affect Travel Behavior, Victoria Transport Institute, Victoria, Canada.

Litwin M., 2003, The role of Intelligent Transportation System (ITS) National Architecture and Standards – the Canadian Experience, [w:] IV Konferencja Naukowo-Techniczna Problemy komunikacyjne miast w warunkach zatłoczenia motoryzacyjnego, Poznań–Będlewo.

Lobo J., Rantisi N., 1999, Investment in infrastructure as a determinant of metropolitan productivity. Growth and Change, 30 (winter), 106-27.

Maat K., Van Wee B., Stead D., 2005, Land use and travel behaviour: expected effects from the perspective of utility theory and activity-based theories, Environment and Planning B: Planning and Design, 32(1), 33-46.

Marczak M., Kozłowski R., 2014, Budowa inteligentnych systemów transportowych jako szansa dla zrównoważonego rozwoju regionów, Ekonomia i Zarządzanie, 6.

Matysiak A., Kruszewski M., Niezgoda M., Kamiński T., 2013, The analysis of ANPR camera location points in bus lanes monitoring system in the city of Warsaw, Journal of KONES, 20(4), 269-275.

Mikulski J., 2010, October, Using telematics in transport, [w:] International Conference on Transport Systems Telematics, Springer, Berlin, Heidelberg, 175-182.

Milanes V., Villagra J., Godoy J., Simo J., Perez J., Onieva E., 2012, An intelligent V2I-based traffic management system, IEEE Transactions on Intelligent Transportation Systems, 13(1), 49-58.

Miller J., 2008, June, Vehicle-to-vehicle-to-infrastructure (V2V2I) intelligent transportation system architecture, [w:] Intelligent Vehicles Symposium, 715-720.

Munnell A.H., Cook L.M., 1990, How does public infrastructure affect regional economic performance?, New England Economic Review, Sep, 11-3.

Newman P.W., Kenworthy J.R., 1996, The land use – transport connection: An overview, Land Use Policy, 13(1), 1-22.

Nosal K., 2011, Mobility management concept and examples of its usage in polish conditions, Transport Problems, 6(4), 13-22.

Nosal K., Starowicz W., 2010, Wybrane zagadnienia zarządzania mobilnością, Transport Miejski i Regionalny, 3, 26-31.

Nowak M., Sikora D.A., 2005, Komunalne inwestycje infrastrukturalne w Łodzi w latach 1990-2002 jako czynnik kształtujący przestrzeń miasta, Acta Universitatis Lodziensis. Folia Oeconomica, 186.

Nutley S., Thomas C., 1995, Spatial mobility and social change: the mobile and the immobile, Sociologia Ruralis, 35(1), 24-39.

Qadri M.T., Asif M., 2009, April, Automatic number plate recognition system for vehicle identification using optical character recognition, [w:] Education Technology and Computer, 2009. ICETC’09. International Conference on, 335-338.

Patel C., Shah D., Patel A., 2013, Automatic number plate recognition system (anpr): A survey, International Journal of Computer Applications, 69(9).

Pauer G., 2017, Development Potentials and Strategic Objectives of Intelligent Transport Systems Improving Road Safety, Transport and Telecommunication Journal, 18(1), 15-24.

Preston J., 2001, Integrating transport with socio-economic activity–a research agenda for the new millennium, Journal of Transport Geography, 9(1), 13-24.

Proper A.T., 2001, Intelligent Transportation System Benefits: 2000 Update, U.S. Department of Transportation Washington D.C.

Pucher J., Korattyswaropam N., Mittal N., Ittyerah N., 2005, Urban transport crisis in India, Transport Policy, 12(3), 185-198.

Rastogi R., 2011, Promotion of non-motorized modes as a sustainable transportation option: policy and planning issues, Current Science, 1340-1348.

Robinson A., 2014, August, The use of automatic numer plate recognition (ANPR) data in transport model development, [w:] Australian Institute of Traffic Planning and Management (AITPM) National Conference, Adelaide, South Australia, Australia, No. 3.

Robinson A., Van Niekerk A., 2014, Uses of ANPR data in traffic management and transport modelling.

Romanowska A., Jamroz K., 2012, Ruchotworczość wielkopowierzchniowych obiektów handlowych trzeciej generacji na przykładzie Trojmiasta, Zeszyty Naukowo-Techniczne Stowarzyszenia Inżynierów i Techników Komunikacji w Krakowie. Seria: Materiały Konferencyjne, 2, 98, 179-191.

Rosik P., Komornicki T., 2013, Wpływ budowy autostrad i dróg ekspresowych na rozwój społeczno-gospodarczy i terytorialny Polski, Ministerstwo Rozwoju Regionalnego, Warszawa, 215.

Rudnicki A., Wojnar I., 2009, Ruchotwórczość obiektów hotelowych na przykładzie Krakowa, Zeszyty Naukowo-Techniczne Stowarzyszenia Inżynierów i Techników Komunikacji w Krakowie. Seria: Materiały Konferencyjne, 90, 148, 197-214.

Santa J., Gomez-Skarmeta A.F., Sanchez-Artigas M., 2008, Architecture and evaluation of a unified V2V and V2I communication system based on cellular networks, Computer Communications, 31(12), 2850-2861.

Schmeidler K., 2008, Development of transport, mobility and urban form in the Czech Republic, European Spatial Research and Policy, 15 (1).

Shawe-Taylor J., De Bie T., Cristianini N., 2006, September, Data mining, data fusion and information management, [w:] IEE Proceedings-Intelligent Transport Systems, IET Digital Library, 153, 3, 221-229.

Sierpiński G., 2012, Zachowania komunikacyjne osób podróżujących a wybór środka transportu w mieście, Prace Naukowe Politechniki Warszawskiej, 84, 93-106.

Sikora-Fernandez D., 2013, Koncepcja „smart city” w założeniach polityki rozwoju miasta–polska perspektywa.

Singletary L., Henry M., Brooks K., London J., 1995, The impact of highway investment on new manufacturing employment in South Carolina: A small region spatial analysis, The Review of Regional Studies, 25(1), 37.

Slinn M., Matthews P., Guest P., 2006, Traffic engineering design, CRC Press.

Snieska V., Simkunaite I., 2009, Socio-economic impact of infrastructure investments, Engineering Economics, 63(4), 16-25.

Szołtysek J., 2011, Kreowanie mobilności mieszkańców miast, Wolters Kluwer, Warszawa.

Stawasz D., Sikora-Fernandez D., 2015, Dobre praktyki inteligentnego zarządzania w polskich miastach, Studia Miejskie, 19, 35-46.

Szarata A., 2013, Modelowanie liczby pojazdów generowanych przez duże centra handlowe, Prace Naukowe Politechniki Warszawskiej. Transport, (97), 499-508.

Szendro G., 2011, Congestion charging in Budapest-a comparison with existing systems, Periodica Polytechnica. Transportation Engineering, 39(2), 99.

Toral S.L., Torres M.M., Barrero F. J., Arahal M. R., 2010, Current paradigms in intelligent transportation systems, IET Intelligent Transport Systems, 4(3), 201-211.

Tuominen A., Ahlqvist T., 2010, Is the transport system becoming ubiquitous? Socio-technical roadmapping as a tool for integrating the development of transport policies and intelligent transport systems and services in Finland, Technological Forecasting and Social Change, 77(1), 120-134.

Van Wee B., 2002, Land use and transport: research and policy challenges, Journal of Transport Geography, 10(4), 259-271.

Vilhelmson B., 1999, Daily mobility and the use of time for different activities. The case of Sweden, GeoJournal, 48(3), 177-185.

Wang F.Y., 2005, Agent-based control for networked traffic management systems, IEEE Intelligent Systems, 20(5), 92-96.

Wegener M., Furst F., 1999, Land-Use Transport Interaction: State of the Art. Berichte aus dem Institut für Raumplanung 46. Institut fur Raumplanung, Universitat Dortmund, Dortmund. http://www.inro.tno.nl/transland/Deliverable%202a.pdf

Wiśniewski S., 2016, Wpływ budowy południkowych obwodnic Łodzi na dostępność mieszkańców miasta do sieci drog o najwyższych parametrach, Rozwój Regionalny i Polityka Regionalna, 34, 131-143.

Xiong Z., Sheng H., Rong W., Cooper D.E., 2012, Intelligent transportation systems for smart cities: a progress review, Science China Information Sciences, 55(12), 2908-2914.

Yigitcanlar T., Sipe N., Evans R., Pitot M., 2007, A GIS-based and use and public transport accessibility indexing model, Australian Planner, 44(3), 30-37.

Zmuda-Trzebiatowski P., 2016, Dostępność transportowa, a partycypacja w aktywnościach, ubóstwo oraz zagrożenie wykluczeniem społecznym. Autobusy: Technika, Eksploatacja, Systemy Transportowe, 17(12), 754-759.

Information

Information: Transport Geography Papers of Polish Geographical Society, 2021, 24 (1), pp. 7-30

DOI: https://doi.org/10.4467/2543859XPKG.21.001.14944

Article type: Original article

Titles:

Polish:

Application of Intelligent Transportation Systems in Analyses of Human Spatial Mobility in Cities

English:

Application of Intelligent Transportation Systems in Analyses of Human Spatial Mobility in Cities

Authors

Marta Borowska-Stefańska

Faculty of Geographical Sciences, University of Lodz
ul. Narutowicza 65, 90-131 Łódź, Poland

Michał Kowalski

Faculty of Geographical Sciences, University of Lodz
ul. Narutowicza 65, 90-131 Łódź, Poland

Paulina Kurzyk

https://orcid.org/0000-0003-2366-024X

Faculty of Geographical Sciences, University of Lodz
ul. Narutowicza 65, 90-131 Łódź, Poland

Miroslava Mikušová

https://orcid.org/0000-0002-4669-3784

Faculty of Operation and Economics of Transport and Communications, University of Zilina, Slovakia

Szymon Wiśniewski

https://orcid.org/0000-0001-5488-5949

Faculty of Geographical Sciences, University of Lodz
ul. Narutowicza 65, 90-131 Łódź, Poland

Published at: 30.06.2021

Received at: 14.05.2021

Accepted at: 20.06.2021

Article status: Open

Licence: CC BY

Percentage share of authors:

Marta Borowska-Stefańska (Author) - 20%

Michał Kowalski (Author) - 20%

Paulina Kurzyk (Author) - 20%

Miroslava Mikušová (Author) - 20%

Szymon Wiśniewski (Author) - 20%

Article corrections:

Publication languages:

English

View count: 878

Number of downloads: 601

<p> Application of Intelligent Transportation Systems in Analyses of Human Spatial Mobility in Cities</p>

Download xml